LEAD ANALYST JOB DESCRIPTION

Lead Analyst means owning the layer where raw data becomes decisions. At this seniority level, that means more than producing dashboards - it means setting the analytical direction a team follows, translating executive priorities into hypothesis-driven investigations, and holding accountability for the accuracy of every deliverable that reaches senior leadership. The role typically sits above individual contributor analysts and below the Analytics Manager or Director, making it the primary filter between data infrastructure and business strategy. Across domains from supply chain performance to ecommerce behavior metrics, this seat shapes how organizations understand what is working and why.

As the Lead Analyst, you own the design and delivery of analytical models, recurring reports, and data-driven recommendations that inform strategic decisions across business units. You operate within a reporting and analytics function, guiding a team of analysts while collaborating directly with product managers, operations leads, and executive stakeholders to translate data findings into measurable action.

Career Impact: Proficiency in machine learning techniques such as clustering and regression, combined with team leadership experience, accelerates the path toward Analytics Manager and Director-level roles faster than individual contributor tracks.

Business Impact: The accuracy of forecast models, KPI dashboards, and variance analyses this role produces determines whether leadership makes resource allocation decisions based on real signals or incomplete information.

Growth Opportunity: Owning cross-functional analytical projects and mentoring junior analysts builds the stakeholder management and people leadership portfolio that opens doors to Senior Manager and Head of Analytics positions.

• Lead a team of analysts in delivering recurring and ad-hoc data analyses, reports, and dashboards that meet business requirements.
• Define and enforce data quality standards across incoming and outgoing datasets to ensure accuracy of all analytical outputs.
• Design statistical models and hypothesis-driven analyses to surface the drivers behind operational and product performance trends.
• Assess, assign, and prioritize analytical requests from leadership teams, ensuring timely delivery against competing deadlines.
• Monitor key business metrics and interpret changes to surface opportunities and flag areas of emerging risk.
• Partner with product managers and operations teams to translate strategic questions into structured analytical plans.
• Mentor junior analysts by removing workflow roadblocks, reviewing work, and building team capacity for complex problem solving.
• Present findings and recommendations to executive audiences in clear, non-technical oral and written formats.

• Bachelor's degree in Statistics, Computer Science, Mathematics, Business Analytics, or equivalent work experience.
• 4 or more years of data analysis experience, with at least 1 year leading or mentoring a team of analysts.
• Demonstrated proficiency in SQL for complex data extraction and relational database querying.
• Strong experience with statistical modeling techniques including regression, clustering, and scenario analysis.
• Ability to translate ambiguous business questions into structured analytical frameworks with measurable outputs.
• Proven track record of communicating complex data findings to non-technical stakeholders at senior and executive levels.
• Strong project management skills with ability to manage multiple concurrent workstreams under tight deadlines.

Master's degree in a quantitative discipline such as Statistics, Applied Mathematics, or Data Science.

Experience applying machine learning algorithms including decision trees, neural networks, or simulation modeling in a business context.

Familiarity with data warehousing principles, ETL processes, and big data ecosystem architecture.

Prior exposure to ecommerce, supply chain, or product analytics environments where user behavior data drives iteration decisions.

• Dashboard delivery rate: percentage of recurring reports delivered on time and without revision requests.
• Model accuracy rate: measured deviation between analytical model outputs and actual observed outcomes.
• Stakeholder adoption rate: percentage of leadership teams actively using self-serve dashboards the role maintains.
• Analyst team throughput: volume of completed ad-hoc requests per sprint or reporting period relative to backlog.
• Data quality error rate: frequency of downstream corrections traced back to analytical output inaccuracies.
• Typical tools: BI and visualization platforms (commonly Tableau or Power BI); query and scripting environments (commonly Python, SQL, or R).

• Base Salary Range: $95,000 to $135,000 annually depending on experience and industry sector.
• Bonus: Annual performance bonus typically 8 to 15 percent of base salary.
• Equity: Stock options or RSUs offered at some organizations, particularly in technology and ecommerce.
• Health Benefits: Medical, dental, and vision coverage; employer contribution rates vary by organization.
• PTO: 15 to 20 days annually plus public holidays; some organizations offer unlimited PTO.
• Common Perks: Remote or hybrid work options, professional development stipend, and conference attendance support.

Figures are estimates based on general US market benchmarks and may be outdated. Adjust based on location, company size, and seniority level.

Candidates are considered for all positions without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected under applicable federal, state, or local law. Reasonable accommodations will be made available to qualified individuals with disabilities upon request throughout the application and employment process. All offers of employment are contingent upon successful completion of a background check. Applicants must be authorized to work in the United States.

The Lead Analyst owns the design and delivery of statistical models, dashboards, and machine learning solutions that drive hospital performance initiatives across departments. Working in collaboration with stakeholders throughout the organization and Information Management teams, this role builds the analytics foundation that enables data-driven decisions and executive-level recommendations.

Key Responsibilities

Develop deep understanding of key organizational initiatives and provide analytical solutions with actionable recommendations.

Develop models and dashboards to help stakeholders understand key drivers of hospital performance initiatives and proactively uncover new findings.

Design, code, test, debug, document, and support all types of analytical products consistent with established specifications and business requirements.

Participate in development of standards, design, and implementation of proactive processes to collect and report data and statistics.

Communicate analytical findings and recommendations clearly to non-technical audiences in oral and written presentations.

Use hypothesis-driven approach to drive design, implementation, and analysis and provide executive-level recommendations.

Work closely with Information Management teams to automate recurring tasks and improve process efficiency.

Required Qualifications

Bachelor's degree in Business Analytics, Statistics, Computer Science, Finance, or related discipline required, Master's degree preferred.

Minimum 3 years of experience leveraging analytics to drive business decisions, 5 years preferred.

Experience with Statistical Models and Data Mining techniques.

Experience creating and using advanced machine learning algorithms and statistics including regression, simulation, scenario analysis, modeling, clustering, decision trees, and neural networks.

Proficiency with programming languages, automation tools, and stats packages such as Python, SAS, Hive, and R.

Experience with BI and visualization packages, preferably MicroStrategy.

Exceptional analytical skills combined with strong business acumen.

Strong communication skills with ability to develop and present solutions to all levels of management including executive levels.

Project management skills with ability to manage multiple projects simultaneously to meet objectives and deadlines.

Ability to solve complex problems with minimal direction and interact effectively with customers under pressure.

Embedded within the Business Analyst team, the Lead Analyst shapes requirement documentation and process improvement solutions for the Autosys and IDash Applications in support of Allegis Group's evolving business processes. Working closely with BA team members, support teams, vendors, and business partners, this role optimizes cross-functional workflows and ensures a consistent analytical approach across the organization.

Core Functions

Identify and analyze business problems and define the scope of activities required to address issues including requirement definition, process review, impact assessment, and operational streamlining.

Diagram and evaluate existing processes and perform process improvement initiatives.

Collect and analyze process data to initiate, develop, and recommend business practices and procedures that focus on increased productivity, reduced costs, and positive user experience.

Develop and maintain strong relationships with business partners and internal and external team members.

Work with business partners to gather requirements for automating new processes or updating existing ones and with vendors for new connectivity setup.

Use VersionOne to document new incoming work items and assist product teams with crafting user stories and acceptance criteria.

Drive team to consistently improve cycle time and speed to market while ensuring information flows appropriately to facilitate workflow.

Support 24/7 on-call model for escalation situations.

Qualifications and Experience

Bachelor's degree in a related field and comparable industry experience required, Master's degree preferred.

3 to 5 years of experience working as a Business Analyst and Tester with a development or IS team, preferably in an Agile environment.

Knowledge of the Autosys and IDash applications including JIL language, web interface, job types, and attributes.

Knowledge of PeopleSoft as it relates to batch processing and understanding of automated batch schedules including payroll, billing, accounts payable, data warehouse, and Hyperion.

Experience using VersionOne.

Solid understanding of Agile principles with familiarity of Oracle Sales Cloud or other CRM systems preferred.

Strong communication, facilitation, and presentation skills with ability to apply complex problem-solving strategies.

Ability to manage time, multi-task, meet deadlines, and maintain strong attention to detail.

Reporting to the Reporting and Analytics leadership, the Lead Analyst delivers accurate, timely data analyses, visualizations, and reports across multiple subject areas within the Allocated Services Lane. Partnering with stakeholders across the organization, this role provides mentorship and thought leadership that enables data-driven operational and strategic decisions.

Primary Duties

Work with leadership teams across the organization to gather requirements and provide data-driven solutions that address strategic and operational needs.

Assess, assign, and prioritize ad-hoc and recurring requests for reports and analyses.

Lead development and presentation of complex business data in easily consumed analyses, reports, and dashboards.

Identify opportunities to streamline processes including generation and delivery of reports and lead efforts to realize these opportunities.

Monitor and interpret changes in metrics to surface opportunities and areas of potential risk.

Ensure accuracy of ad-hoc and recurring deliverables and contribute metadata to the Business Data Catalog.

Assist in team development by removing roadblocks, mentoring, and optimizing utilization of organizational resources.

Present project status reports to stakeholders upon request.

Skills and Qualifications

Bachelor's degree or higher in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or related field preferred.

1 or more years directly managing and developing multiple team members.

4 or more years in a reporting and data analysis position with 4 or more years working with relational database systems.

Expert SQL query development skills with expert-level understanding of data extraction tools and techniques.

Expert Microsoft Excel skills and programming experience with demonstrated interest in statistical analysis, informatics, analytics, or business intelligence.

Experience with Business Intelligence reporting tools such as Looker and Tableau preferred, with Looker Data Analyst Certification and Tableau Certification preferred.

Proficiency in Python and R preferred.

Excellent interpersonal and written communication skills with ability to effectively present information and respond to questions.

Ability to work through problems logically, identify root causes, and provide practical effective solutions while being detail and process oriented.

The Lead Analyst delivers performance metrics, dashboards, and automated reporting solutions that enhance the efficiency and effectiveness of IT services, products, and systems. Collaborating with IT functions and management, this role acquires and integrates data from multiple sources to surface actionable operational insights for stakeholders across the organization.

Duties

Use statistical methods to identify areas for operational improvement and suggest streamlining and process enhancements to improve overall IT performance.

Work with IT functions to secure and acquire data from relevant data sources and identify, access, and integrate additional data sources for reporting and analysis.

Generate complex dashboards, reports, scorecards, visualizations, and ad-hoc reports in tools such as Power BI or Tableau for performance metrics and scorecards.

Share insights and intelligence with relevant units via BI reporting and process automation.

Gather requirements and lead design, development, and delivery of reporting initiatives.

Streamline and automate analytics reporting processes and assist with migration of existing reports to automated dashboards.

Prepare ad-hoc reporting analyses ensuring results are presented clearly, and prepare periodic management reports for circulation.

Administer systems, manage data archival, and generate project or system-specific reports as required.

Education and Experience

Bachelor's degree in Information Technology, Computer Science, Statistics, or equivalent.

3 to 5 years of experience producing IT performance metrics and analytics reporting in support of an IT organization.

Experience creating data models within Microsoft Excel and using SQL Server.

Proficient in SQL, Python, advanced Microsoft Excel, and other Microsoft Office programs including Teams and SharePoint.

Proficient in data visualization tools and dashboarding technologies such as Power BI, Tableau, or Qlik.

Strong analytical skills with ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

Excellent written and verbal communication skills suited for management and peers, with ability to collaborate across teams.

Ability to consistently meet deadlines while managing multiple projects simultaneously and balancing reactive tasks with planned project work.

A key member of the data migration delivery programme, the Lead Analyst leads ART activities and a team of data analysts across all lifecycle stages of the Local Land Charges programme. Collaborating with management, Local Authorities, and client teams, this role ensures data quality, drives migration delivery plans, and identifies automation opportunities that safeguard compliance and programme progress.

Accountabilities

Lead a team of data analysts, delegating tasks, monitoring progress, and holding team members accountable for assigned work.

Become a data expert to provide assurance on data quality and accuracy and ensure incoming and outgoing data observes the client's quality standards and specifications.

Support the Local Land Charges programme by leading ART activities across various stages and lifecycle of the programme.

Provide reporting updates to management, track tasks, and make estimates to allow for effective planning and risk identification and mitigation.

Support the programme from a technical perspective, identifying automation opportunities and process improvements within the ART service and beyond.

Drive ART activities, contribute to migration delivery plans, identify required actions for specific Local Authority idiosyncrasies, and monitor progress.

Detect problems, collate issues for resolution, and identify trends or risks while maintaining confidentiality of all client documentation and data.

Background and Experience

Previous experience working on data migrations or transformation programmes in a technical capacity.

Experience supervising junior staff members or leading a small team.

Experience working with Local Land Charges and Local Authority planning-related systems and data highly advantageous.

Professional and mature working attitude with ability to work independently and supervise the activities of a small team.

Strong attention to detail with a methodical, well-organised, and process-driven approach.

Effective verbal and written communication skills to exchange information clearly with team members, management, and customers.

Good decision-making skills with a proactive mindset, patience under pressure, and a desire to continuously improve.

Accurate financial forecasting and regulatory compliance for a large health system depends on the Lead Analyst, who reconciles financial data, prepares Capital and Operating plans, and delivers ad-hoc analyses to Senior Management, the CHRISTUS Board, and corporate leadership. Serving as a critical resource to the Director of Financial Reporting and Vice President of Operational Analytics, this role ensures the integrity of financial information and supports system-wide planning processes.

Strategic Responsibilities

Assist with monthly reconciliation of financial data in dependent systems, ensuring compliance with generally accepted accounting principles and system policies while maintaining integrity and accuracy of information.

Analyze monthly financial statements and statistics to identify variances between planned and actual transactions and adjust forecasts and long-range plans accordingly.

Research financial and accounting issues and propose changes to management necessary to maintain the integrity of financial information.

Assist leadership with preparation of Capital and Operating plans for distribution to the CHRISTUS Board, Audit Committee, and Finance and Strategy Committee.

Create and maintain financial and ad-hoc reports in systems including Infor Spreadsheet Designer and BIRST, Strata Decision Technology, and Microsoft applications.

Support Senior Management, Regional, and Corporate Associates with data requests and analyses.

Complete special projects assigned by the Director of Financial Reporting, Vice President of Operational Analytics, or System Controller.

Minimum Qualifications

Bachelor's degree in Finance or Accounting.

Five or more years of advanced experience in accounting, financial, and operational analysis or similarly related fields.

Healthcare operations experience including budgeting, planning, and capital management preferred.

Extensive knowledge of GAAP and other applicable regulatory rules, regulations, and legislation related to accounting functions.

Advanced proficiency in Microsoft Excel and SQL preferred with proficiency in Microsoft Office products required.

Knowledge of Infor and Lawson and Strata Decision Technology or general healthcare forecasting and planning techniques preferred.

Excellent organizational skills with strong written and verbal communication skills and ability to communicate with all levels of personnel in a large organization.

Deadline-oriented with ability to multi-task and work independently on special projects and complex assignments.

As the Lead Analyst, this role leads weekly forecast calls, consolidates sales submissions, and delivers KPI analysis on forecast accuracy, pipeline quality, and bookings linearity to support executive decision-making. The Sales organization relies on this work to maintain data accuracy across systems, drive quarterly business reviews, and ensure timely execution of sales objectives and compensation processes.

Ownership Areas

Drive weekly forecast calls and top deal data collection, assisting management in assessing risk and upside in deals and overall forecast.

Consolidate forecast submissions as required by management and corporate and provide analysis on Sales KPIs including forecast accuracy, pipeline quality, deal progression, software attach rate, and bookings linearity.

Proactively monitor and drive system clean-up efforts to ensure quality and data accuracy of supporting sales data.

Prepare bi-weekly consulting to software attach analysis and build baseline PowerPoint slides with data analysis and key performance metrics to support leadership with quarterly business reviews.

Assist management in tracking sales organization objectives and activities, ensuring execution in a timely fashion.

Serve as key liaison to Business Operations, Finance, and Sales Compensation regarding bookings and sales credit.

Recommend revisions to existing reports or assist in development of new reporting tools and perform ad-hoc reports and analysis as frequently requested by the executive team.

Professional Experience

Minimum 8 years of demonstrated success in an operations, sales compensation, or finance role.

Proven analytical ability combined with strong attention to detail and an inherent ability to quantify and support conclusions with data.

Intermediate to advanced Excel-based modeling skills with ability to collect, organize, and display data in spreadsheet format to generate insights that enhance sales force productivity.

Proven problem-solving ability with experience providing practical business insights from large, complex data sets.

Good oral and written communication skills with experience working with and presenting to senior management.

Lead Analyst builds complex visualizations and analytical models at petabyte scale to meet compliance and regulatory requirements across finance and business operations. The work directly supports finance and compliance teams in identifying and delivering high-impact analytical use cases while overseeing a multidisciplinary data analyst team to ensure time-to-market goals are met.

Executive Functions

Analyze and interpret large volumes of transactional, operational, and customer data using proprietary and open-source data tools, platforms, and analytical toolkits.

Design and build complex visualizations and analytical models to meet compliance or regulatory requirements, develop finance models to monitor performance.

Build data analytical systems to improve business efficiency.

Work closely with finance and compliance areas to identify, prioritize, and deliver on pressing and impactful analytical use cases, turning complex findings into simple visualizations and recommendations.

Oversee high-performing, multidisciplinary members of the Data Analyst team and lead through example in a fast-paced environment where time to market is critical.

Experience and Qualifications

Bachelor's degree in Mathematics, Statistics, Actuarial Sciences, Computer Science, Engineering, Life Sciences, or related quantitative discipline.

Minimum 8 years of industry experience applying advanced analytics, preferably in finance or compliance business partnering and project management.

Demonstrated experience applying analytical techniques to guide operational improvements, scheduling, asset utilization, or investment decisions.

Experience supervising the work of others, preferably in analytics or engineering roles.

Advanced competency in two or more of analytical software such as R and SAS, data visualization tools such as Qlikview, Tableau, and Power BI, relational or graph database management tools such as SQL, NoSQL, and Neo4J, or programming languages such as VBA, C++, Java, and Python.

Strong communication, presentation, project management, and time management skills.

Desire and ability to think abstractly, solve problems, and deal with ambiguity with enthusiasm to help shape and develop the team.

The Lead Analyst owns close-loop data analysis of user behavior data and drives product iterations that improve Supply Chain performance, working within a team environment where insights are delivered to product managers and senior management through self-serve dashboards and reports. Collaborating with stakeholders across the organization, this role develops business domain expertise and manages team performance to deliver measurable outcomes against key business metrics.

Key Responsibilities

Lead a team to conduct in-depth close-loop data analysis based on user behavior data and drive product iterations.

Work with large datasets to problem-solve, identify key business issues or opportunities, construct hypotheses, and investigate trends and observations.

Drive visibility into product performance by defining and monitoring key business metrics.

Design, build, and maintain dashboards and reports to enable data self-serve for product managers.

Communicate and present insights to key stakeholders and senior management.

Develop business domain expertise within Supply Chain and manage team performance to deliver expected outcomes.

Required Qualifications

Bachelor's degree in Computer Science, Information Systems, Business Analytics, Statistics, Operations Research, Industrial Engineering, Mathematics, Economics, or related quantitative and engineering field.

Minimum 6 years of strong relevant hands-on experience in analytical roles with at least 1 year in a leadership role managing a team.

Knowledge of model development, model validation, model implementation, machine learning, simulations, and operations research preferred.

Knowledge of e-commerce, supply chain, or internet industry preferred, along with knowledge of Data Warehousing and ETL and ELT processes preferred.

Python and SQL proficiency required, with experience in big data ecosystem tools such as Hadoop, Spark, and Hive preferred.

Exceptional written and verbal communication skills with ability to present complex data and information clearly and concisely to a variety of audiences including executives and technical and non-technical leaders.

Natural curiosity, desire to learn, and flexibility to learn new skills in a dynamic and agile environment.

Well-versed in English, both spoken and written.

Embedded within the data analytics organization, the Lead Analyst develops and deploys analytics solutions using Python, SQL, and ETL frameworks while building and mentoring a world-class team that serves as a competitive advantage for the company. Working closely with product managers and engineering teams, this role automates KPI reporting at scale and enables data-driven product decisions through dashboards, experiments, and key datasets.

Core Functions

Develop, mentor, and hire a world-class data analytics team to serve as a competitive advantage for the company.

Work with engineers to evangelize data best practices and implement data analytics solutions.

Conduct data analysis and generate actionable insights with recommendations for improving, developing, and launching products.

Communicate key results with self-serve tools such as dashboards and analytics tools for product teams and key stakeholders.

Develop and automate reporting of key performance indicators for various products and services at scale, solving for business priorities.

Partner with product managers to design experiments to test hypotheses and help with idea generation and refinement.

Collaborate with engineering teams and stakeholders to build key datasets and data pipelines using Python and ETL frameworks.

Skills and Qualifications

8 or more years of industry experience in data analytics.

Advanced knowledge of SQL, scripting languages, and database concepts.

Consistent track record of developing and deploying analytics solutions using Python, R, SQL, distributed data warehouses, and computing platforms.

Strong understanding of statistical concepts with expertise in data warehouse development and best practices.

Experience with data tools such as Druid, Hadoop, Tableau, and Superset preferred.

Ability to clearly communicate complex results to technical and non-technical audiences.

Versatility and willingness to learn new technologies on the job.

Reporting to department leadership, the Lead Analyst leads portfolio scoping, roadmap planning, and delivery alignment for scrum teams throughout the software development lifecycle at Sky. Partnering with Software Engineering and cross-functional delivery teams, this role sets analytical direction, champions MVP thinking, and grows the analysis discipline through coaching and workload management.

Leadership Responsibilities

Lead and inspire a team of analysts to deliver high-quality user outcomes ensuring alignment with Software Engineering and various delivery teams across Sky.

Lead portfolio scoping and prioritization activities to enable estimation and roadmap planning and maintain high-level roadmap alignment to scrum teams.

Champion an MVP approach, working with stakeholders to prioritize business value.

Set direction for the team while managing and growing people.

Contribute actively to department ways of working as a key contributor to discipline growth and coaching.

Knowledge, Skills and Abilities

Previous Agile experience with knowledge and understanding of different frameworks relating to Agile such as Scrum and Kanban.

Previous experience leading a team including coaching and workload management.

Exceptional stakeholder management skills with gravitas to contribute meaningfully to discussions on priority and solutions.

Exceptional communication and problem-solving skills with ability to recognize and change approach when business needs change.

Strong desire to promote and grow the analysis discipline.

Ability to maintain a holistic view of scope and understand and articulate low-level detail.

Sitting at the intersection of defense program management and quantitative economic analysis, the Lead Analyst develops independent life cycle cost estimates, economic analyses, and risk assessments for government and industry programs while assessing the credibility of cost proposals and savings initiatives. Operating across defense, intelligence, and civil agency environments, this role trains entry-level analysts, presents findings to senior managers, and requires an active Secret Clearance.

Strategic Initiatives

Develop and evaluate program technical and programmatic baselines and assess the credibility of government and industry cost estimates and economic analyses.

Develop innovative cost estimating techniques for development, production, and operating and support cost elements across a broad range of programs.

Develop independent or program life cycle cost estimates and accompanying risk, uncertainty, and sensitivity analysis.

Develop economic analyses including business case analyses, cost and benefit analyses, and analysis of alternatives.

Evaluate the credibility of industry cost proposals and cost savings initiatives and assess industry contract cost and schedule performance.

Document, present, and defend analytical results and conduct assessments on program cost, technical, and schedule baselines to identify key cost and technical risk areas.

Develop and train entry-level cost analysts while managing competing priorities, multiple tasks, and work requirements.

Technical Qualifications

Bachelor's degree in Economics, Engineering, Mathematics, Operations Research, Statistics, Business, or related quantitative discipline.

Minimum 4 years of defense, intelligence, and civil agency program cost and economic analysis experience.

Active Secret Clearance required.

ICEAA Certification or Defense Acquisition Workforce Initiative Act certification desired.

Understanding of weapons and automated information systems design, production, operations, and support processes including work breakdown structures, cost drivers, and government cost and programmatic data sources.

Understanding of industry accounting systems.

Strong Microsoft Excel skills with ability to think analytically, creatively, and critically.

Ability to precisely and concisely communicate and defend complex analytical results verbally and in written products to senior managers and others.

A key member of the supply chain operations team, the Lead Analyst leads cross-functional Buying team interfaces between Factories and Regional Logistics while driving SAP-based reporting, KPI dashboards, and training frameworks that improve procurement efficiency. Collaborating with stakeholders across all functions, this role enables data-driven supply chain decision making through continuous process improvement and tools development.

Day-to-Day Responsibilities

Coordinate cross-functional Buying team interfaces between Factories and Regional Logistics, driving Buying execution and delivering process excellence as a central pivot across all functions.

Identify and pursue opportunities for operational efficiency gains through introduction of new processes, establishing key metrics, and ways of working improvements especially cross-functional meetings.

Share knowledge within the team formally through projects and networks of excellence and ensure high adherence to standard and effective process management.

Explore opportunities and drive continuous improvement by challenging ways of working, identifying improvement ideas using agreed KPIs, and delivering results.

Create Training Framework and ensure new Buyers are trained properly on processes and conduct periodic process refresh trainings and assessments.

Act as a key user for SAP-related developments, maintain SAP and BI reporting knowledge, and report monthly KPI dashboards.

Develop and improve supply chain business processes through tools and metrics to enable decision making and ensure timely reporting, feedback, and communication to relevant stakeholders.

Qualifications and Experience

Graduation in Engineering or any bachelor's degree with minimum 6 to 8 years of experience dealing with end-to-end supply chain management.

Certification or diploma in Supply Chain Management or Data Analytics preferred.

Minimum 5 years of experience in Procurement, reporting, and analytics with relevant SAP Procurement and reporting experience from a product-based company or Shared Service Center.

Good understanding and working knowledge of supply chain systems and processes with knowledge of SAP Analytics and SAP BI preferred.

Hands-on experience in BI tools including Microsoft Power BI preferred, and excellent advanced Excel skills with Macros and VB Scripts and proficiency in Microsoft Office.

Strong interpersonal and negotiation skills with strong analytical and problem-solving mindset and ability to approach work in a structured way.

Excellent planning and prioritization skills with high attention to detail, solution-oriented approach, strong sense of urgency, and ability to work independently with minimal supervision.

Reporting to the Marketing leadership, the Lead Analyst refines audience segmentation models, customer lifecycle analytics, and campaign effectiveness measurement to inform strategic objectives and minimize churn. Partnering with Business Intelligence, Operations, Product, Finance, and Engineering teams, this role translates large data sets into dashboards, visualizations, and presentations that quantify marketing impact and drive customer acquisition.

Role Responsibilities

Support the Marketing team with analytics and customer insights to inform and fulfill strategic objectives and quantify the impact of marketing initiatives on customer success and future behavior.

Monitor usage metrics and understand business-based explanations for large-scale trends and patterns in customer lifecycle behavior.

Develop data models and analytical tools for ongoing audience segmentation, benchmarking, trending, and competitive analysis.

Manage business analytics work through all phases including data quality, data analysis, data visualization, and presentation of results and deliverables.

Build dashboards, reports, and presentations to communicate insights clearly and effectively.

Collaborate with cross-functional teams including Business Intelligence, Operations, Product, Finance, and Engineering.

Position Requirements

5 to 7 years of recent experience in a business analyst or data analyst role.

Experience in the digital advertising industry or related field.

Experience developing compelling data visualizations, dashboards, and reporting in Tableau with experience in exploratory data analysis and advanced quantitative analysis.

Comfortable working with modern data technologies and familiar with database modeling and data warehousing principles.

Familiarity with Adobe Analytics and Google Analytics as well as third-party data sources.

Excellent written, verbal, presentation, and communication skills with ability to translate business needs into analytical requirements and communicate results clearly to other business units.

Proactive work style and creative problem solver with ability to handle multiple projects in a fast-paced, highly cross-functional, rapidly changing environment.

The Lead Analyst leads exploratory analyses and A/B test design to isolate value drivers of products and services within cross-functional teams spanning Product Owners, Designers, Developers, and Marketing, delivering customer insights that improve the ecommerce experience. The analytics team relies on this work to expand its toolkit through mentorship of junior analysts and to surface recommendations that push new knowledge to business partners at all levels.

Scope of Work

Lead exploratory analyses to uncover customer insights and improve customer experience within teams of varied strengths including Product Owners, Designers, Developers, Business Stakeholders, and Marketing.

Enable data-driven decision making by demonstrating sophisticated analytics techniques to isolate value drivers of products and services and synthesize findings into relevant insights.

Design, implement, and measure the impact of initiatives such as A/B tests and baseline comparisons.

Translate data into insightful information, process information in critical metric deep dives, and present recommendations that push new knowledge to all partners.

Expand analytics techniques in the team's toolkit by mentoring junior analysts and collaborating in a fast-paced and agile environment.

Minimum Qualifications

Bachelor's degree in Business, Mathematics, Statistics, Computer Science, Engineering, Economics, or related field required, Master's degree a plus.

5 or more years of consistent experience with at least 3 years in an ecommerce environment.

Proficient in SQL with experience in R, Python, Databricks, Snowflake, Google BigQuery, Tableau, or Looker a plus.

Technical experience in web analytics data and tools with prior experience in Adobe Analytics, Google Analytics, or other web analytics platforms.

Superb communication and presentation skills with ability to deliver technical concepts to non-technical partners and develop compelling narratives with clear story and recommendations.

Passion, curiosity, and resourcefulness with confidence to address peers, management teams, and multi-functional teams at all levels of the organization.

The Lead Analyst advances the vulnerability management program by serving as deputy VM lead, prioritizing daily tasks, conducting compliance and vulnerability assessments across Windows, Mac, UNIX, and virtual environments, and generating automated risk reporting methodologies. Working alongside ISSOs, system owners, and senior leadership in a dynamic client environment, this role implements holistic risk management strategies and ensures strong customer service focus for internal and external VM customers.

Delivery Expectations

Ensure Subject Matter Expert support to Information Security Systems Officers, System Owners, and others through the risk management process and secure configuration baseline management including regulatory and remediation compliance monitoring.

Improve and implement risk management strategies to support cybersecurity programs and engage with stakeholder partners to design and implement a holistic risk management strategy.

Communicate threats, vulnerabilities, and risk information and recommend remediation to cross-functional areas, senior leadership, ISSOs, system owners, and technical and security staff in a timely manner.

Apply problem solving and critical thinking to evaluate applicable solutions, conduct pilot evaluations for proof of concepts, and implement better mitigating controls in conjunction with the VM lead.

Generate automated methodologies for identifying, assessing, and reporting security risks and trends including transition of existing manual processes.

Prioritize vulnerability findings based on risk and document detailed corrective and remediation plans and actions.

Conduct compliance and vulnerability assessments on a broad range of systems including Windows, Mac, UNIX, networking, databases, virtual environments, applications, and web servers.

Coordinate vulnerability operational metrics, scan results, and ad-hoc reporting in a timely manner and ensure strong customer service focus to meet the needs of internal and external VM customers.

Background and Experience

Bachelor's degree with minimum 8 years of experience, including 5 years in an Information Security environment, or applicable military and work experience as substitute for education.

CISSP, Security+, CEH, or other industry-recognized Information Security Certifications required.

Knowledge of NIST SP 800 series and testing NIST 800-53 security controls.

Expertise with enterprise Vulnerability Management platforms and endpoint tools such as Tenable SecurityCenter, Nessus, Nessus Agents, Nessus Network Monitor, NetSparker, and Symantec.

Proficient in MS Office including Word, PowerPoint, Excel, and MS Project.

Track record of VM management, supervising staff, and managing challenging due dates and timelines.

Ability to identify systemic security issues, share meaningful insights about the organization's threat environment, and apply cybersecurity and privacy principles to organizational requirements.

Strong written and verbal communication skills with excellent organizational, analytical, and problem-solving abilities and ability to work independently and as part of a multi-disciplined team.

Embedded within an agile engineering team, the Lead Analyst oversees delivery of data-driven, continuous improvements for cloud network ecosystems by defining experiments, applying AI and ML methods, and delivering as-a-Service and as-Code solutions across a broad range of technical domains. Working with senior leadership, network engineers, data scientists, and build teams both internally and across the cloud provider ecosystem, this role enables further automation and accelerates time to market for cloud improvements.

Engineering Responsibilities

Embrace cloud-native principles and help implement Everything as Code while taking initiative to discover opportunities for continuous improvement.

Perform exploratory data analysis, data cleansing, and apply statistical and AI and ML methods to a wide variety of data types.

Document Proof of Concepts, results, and best practices and present demos to executives and colleagues regularly while reviewing and providing feedback on peer demos.

Work across teams of network engineers, build and site reliability engineers, data scientists, and program managers both internally and across the ecosystem.

Deliver as Code and as a Service solutions to enable further automation and AI and ML driven improvements.

Work in a DevOps manner by continuously learning, questioning, experimenting, and analyzing results in a high-velocity team.

Technical Qualifications

Bachelor's degree or equivalent in Computer Science, Computer Engineering, Information Systems, or other STEM-related field, with Master's degree in a related field preferred.

Industry certifications in DevOps, Cloud Platforms, or Kubernetes preferred.

6 or more years of experience in an advanced technology industry and data-driven environment.

Experience in a DevOps or R&D environment with strong software engineering fundamentals including high-performance code writing, testing, and debugging.

Experience with CI/CD pipelines, infrastructure automation, container-based software environments, ETL using SQL-based and non-SQL-based technologies such as AWS Athena, BigQuery, Spark, Hadoop, Hive, and Impala, and foundational AWS services such as EC2, S3, EMR, EKS, Cloudwatch, and Redshift.

Experience using common data science techniques such as data mining, time series analysis, multivariate analysis, clustering, regression, and pattern recognition, as well as ML tools such as TensorFlow and Scikit-learn.

Proficiency in Python, Go, R, or equivalent languages and experience with data visualization tools such as Grafana, ELK, Tableau, and AWS Quicksight.

Familiarity with Agile methodologies including Scrum and Kanban and knowledge of Defect Management Systems such as Jira or GitHub.

Strong communication and presentation skills with ability to work collaboratively to clarify requirements, identify problems, and find creative solutions.

The Lead Analyst guides the day-to-day operation of the IRB Office by serving as the primary resource for complex federal, state, and local regulations while independently reviewing IRB submissions involving human research participants. Reporting to the Biomedical Office IRB Manager and collaborating with investigators, IRB Coordinators, and panel members, this role trains new staff, tracks regulatory trends, and fosters Office for Research values across all IRB functions.

Key Deliverables

Serve as the IRB Office's primary resource for complex federal, state, and local regulations when questions and issues arise from day-to-day operations.

Monitor changes in laws, regulations, and technology and advise management on how they may affect the IRB Office.

Provide regulatory, ethical, and methodology guidance to investigators relating to IRB submissions and ensure all required elements are addressed.

Independently process and review more complex IRB submissions and write documents subject to professional and technical audit that convey IRB deliberations and determinations.

Lead IRB Coordinator staff, model best practices, and fulfill all duties and responsibilities of a Senior IRB Coordinator.

Train and educate new IRB panel members and staff on the electronic submission application and accompanying toolkit essential to the review process.

Assist in tracking and reporting of trends related to determinations, clarification requests, and incoming submission quality.

Participate in special projects and provide backup to the IRB Manager regarding IRB process.

Education and Experience

Bachelor's degree or equivalent in a relevant academic field, Master's degree or equivalent preferred.

Certified IRB Professional credential required.

5 years of direct IRB experience with experience using an electronic IRB submission system.

Experience with Huron's Click IRB software and HRPP Toolkit preferred.

Experience writing SOPs and training materials and background that includes statistical and trend analysis preferred.

Proficient in Outlook, Microsoft Word, Adobe Acrobat, and general PC knowledge.

Demonstrated adaptability, agility, collegiality, customer focus, ethical judgment, multi-tasking, and integrity.

Ability to effectively communicate research regulations, IRB determinations, and guidance in writing and verbally to a broad, diverse audience and work independently and as part of a team in a fast-paced environment.

As the Lead Analyst, this role leads a team of up to seven intrusion analysts performing 24/7 defensive cybersecurity operations including incident handling, forensics analysis, and early warning correlation across NOAA FISMAs. The SOC mission relies on this work to integrate and enrich disparate intelligence sources, mentor staff toward long-term career growth, and provide timely guidance to network operators and departmental management.

Operational Focus

Lead a team of up to 7 analysts performing defensive cybersecurity operations 24 hours a day, 7 days a week and ensure effective performance against established operational rhythm, expectations, and standards.

Provide hands-on technical support to subordinates during high-visibility cybersecurity incidents and identify areas of improvement for SOC processes and tools to enhance the mission.

Correlate events throughout NOAA FISMAs to provide early warning capability and trending data that enables decision-makers to prioritize cyber mitigation efforts and investment strategies.

Integrate, correlate, and enrich disparate information sources to provide actionable intelligence and advice to network and system operators as well as bureau and departmental management.

Perform analysis on anomalous behavior based on log data from firewalls, packet capture, web proxy services, network flow analysis, intrusion detection, and malware analysis tools.

Facilitate prioritization and requirements gathering for content development or new technology implementation.

Place emphasis on development of staff and cultivate career growth opportunities to ensure long-term success of the mission.

Requirements

Bachelor's degree with 4 or more years of prior relevant experience, or experience in lieu of degree.

Active Top Secret clearance required, US citizenship required.

Prior experience performing as a SOC analyst and prior experience leading a team within a SOC environment.

Working knowledge of SIEM solutions and incident management solutions with hands-on cybersecurity experience and technical understanding of core cybersecurity technologies and emerging capabilities.

Demonstrated understanding of the life cycle of cybersecurity threats, attacks, attack vectors, and methods of exploitation with understanding of intrusion set tactics, techniques, and procedures.

Familiarity with Intelligence Driven Defense, Cyber Kill Chain methodology, and MITRE ATT&CK framework.

Familiarity with Cloud concepts and experience performing monitoring and responding to threats in Cloud environments.

Strong analytical and troubleshooting skills with excellent written and verbal communication skills and a positive, team-oriented attitude.

The Lead Analyst produces specialized business, financial, and cost analyses while designing and maintaining financial and management reporting systems that support SOX compliance, budgeting, and regulatory reporting to state agencies including WCIRB. Based within the finance department and working closely with the Chief Financial Officer and internal and external auditors, this role ensures reporting workflow efficiency and the integrity of financial information across the organization.

Job Functions

Provide technical assistance in the design, implementation, and maintenance of financial and management reporting systems.

Perform specialized business, financial, and cost analysis including cash flow analysis and what-if analysis.

Handle regulatory and statistical reporting to applicable state agencies such as WCIRB.

Assist in reviewing, testing, and evaluating financial and internal controls in the quarterly SOX assessment process and coordinate with management to support internal and external auditors.

Research and analyze competitive and legislative environments and their impact on the organization.

Prepare journal entries and reconciliations of general ledger accounts and assist in month, quarter, and year-end close.

Support budgeting and forecasting for the Company and evaluate financial reporting workflow for efficiency and recommend improvement opportunities.

Assist the Chief Financial Officer and other finance department staff in analysis and projects as needed.

Knowledge, Skills and Abilities

Bachelor's degree in Accounting or Finance.

CPA license preferred.

Minimum 5 to 7 years of relevant work experience with experience in property and casualty insurance preferred.

Good working knowledge of GAAP and general SEC and SOX compliance with understanding of financial reporting risks in a public company environment.

Knowledge of principles and techniques used in financial modeling, management studies, system analysis, and financial reporting.

Proficient in MS Office particularly Excel including pivot tables, queries, and macros, with experience in SQL, Essbase, Hyperion, and SmartView reporting a plus.

Strong analytical and technical accounting skills with ability to research accounting literature and conduct technical analysis.

Strong written and verbal communication skills with ability to work effectively across many internal functional groups and manage time under constraints.

The Lead Analyst coordinates and leads a team of analysts in preparing pre-project data packages and environmental clearances for a utility sector client with construction sites throughout Southern California, working within ERM's management system and quality standards. Collaborating with data management, planning, and resource specialists in a fully remote setting, this role maintains compliance trackers and online data management systems while identifying process improvements that benefit the client.

Work Activities

Utilize organizational, detail-oriented, and process-driven critical thinking skills to analyze.

Prepare pre-project data packages working independently and as a team lead.

Maintain compliance trackers and a variety of online data management systems to obtain information needed to produce appropriate pre-project packages.

Inspire, lead, train, and grow an existing team of analysts and complete work assignments in accordance with ERM's management system, format, and quality standards.

Commit to teamwork and follow established processes and protocols while confidently identifying process improvements to provide benefit to the client.

Qualifications and Experience

Bachelor's or Master's degree required.

Team management experience or demonstrated strong leadership skills.

Must be able to obtain clearance through client background check to access online system upon employment.

Experience utilizing SAP and Citrix systems a plus.

Strongly proficient in Excel, MS Word, and online data management systems.

High-level written and verbal communication and organizational and analytical skills with experience recording and writing detailed technical data and reports.

Excellent time management and follow-through skills with ability to multi-task, maintain flexibility, and work independently with minimal supervision on projects with expedited deadlines.

Demonstrated attributes of a strong consultant including team player mentality, eagerness to learn, self-starter initiative, versatility, and service-oriented mindset with strong commitment to safety and Health and Safety protocols.

The Lead Analyst runs day-to-day operations for a team of specialized fraud analysts, managing real-time transaction reviews, dispute resolution, new account verification, and AML compliance while developing strategies to prevent fraud losses across the organization. The work directly supports the integrity of financial services operations by monitoring chargeback rights, identifying unusual transaction patterns, and ensuring smooth coordination between fraud operations and customer service.

Areas of Ownership

Review new signups and identify fraudulent applications using background research tools such as LexisNexis reports and Identity reports.

Contact customers to verify information submitted on applications, identify high-risk accounts, and investigate check kiting and large or unusual transactions.

Identify unusual transaction patterns on customer accounts to detect counterfeit and skimming fraud and conduct outbound calls to determine validity of transactions and ownership.

Handle inbound communications from account owners reporting fraudulent transactions and interact with customer service to ensure a smooth customer experience.

Inform and document operations management of fraudulent activity and monitor all chargeback rights available in accordance with banking regulations.

Monitor current fraud trends and develop strategies to prevent losses, perform fraud detection and dispute resolution work, and perform new account verification based on know your customer due diligence and AML compliance.

Supervise day-to-day operations of a team of specialized fraud analysts, control workflow to ensure team and individual goals are met, and actively manage a caseload of real-time transaction reviews and disputes.

Professional Experience

Minimum 5 years of experience in a fraud analyst role with minimum 2 years of demonstrated experience managing and supervising a team.

Previous Financial Services experience a plus.

Measurable skills with multiple complex systems including Microsoft Office including Excel, Word, and Outlook and other web-based tools.

Exceptional performance with customer contact and interaction with distinguished interpersonal, verbal, and written communication skills and ability to maintain control in stressful situations.

Demonstrated ability to work quickly and accurately with high-volume pressures and multiple priorities.

Unquestionable integrity with ability to set goals, take initiative, and succeed in a team environment.

Reporting to the Director of IT Implementation, the Lead Analyst guides clients through data integration requirements including ETL design, data mapping, and validation on the MS-SQL Server platform while coordinating implementation activities between Avalon IT teams and external business stakeholders. Success in the position means owning data extract file layouts, maintaining technical documentation, and leading the team through complex problem solving that supports seamless client onboarding in a healthcare payer environment.

Project Responsibilities

Act as business owner of data extract file layouts and supplemental documentation and guide clients through integration requirements including ETL design, data mapping, and validation.

Work with internal teams to manage data across multiple environments.

Coordinate implementation activities between internal and external stakeholders.

Create and maintain technical documentation to facilitate client onboarding.

Lead the team through problem solving and creative solutioning while balancing competing priorities and timelines.

Experience and Qualifications

Minimum 5 years of IT experience developing databases and stored procedures on the MS-SQL Server platform.

Healthcare experience strongly preferred with insight into claims, remittance advice, eligibility, and prior authorization highly valued.

Experience in a start-up or early-stage company helpful.

Strong T-SQL skills with experience documenting technical requirements, data mappings, use case diagrams, and ERDs.

Demonstrated ability to deliver results while working cross-functionally and with all levels of the organization in a high-visibility individual contributor role.

Excellent organizational skills with a persistence, sense of ownership, and drive for continuous improvement in a fast-paced environment.