BUSINESS ANALYST JOB DESCRIPTION

Stakeholders call it business analysis. What it actually requires is a working command of SQL, an instinct for when a dashboard misleads rather than informs, and enough domain fluency to translate a VP's frustration into a well-formed requirement. Rigorous. In organizations running Agile delivery squads or analytics centers of excellence, the Business Analyst owns the space between an undocumented business problem and a solution the team can actually build. KPI definitions, OKR mapping, data quality validation, and user story authorship are the recurring products of this work. None of it is improvised.

As the Business Analyst, you will convert ambiguous organizational questions into structured analytical deliverables - requirements documents, performance dashboards, and data-backed recommendations - that drive operational and strategic decisions across business units. You work within cross-functional squads or analytics teams, partnering daily with data engineers, product owners, and senior leadership to keep analytical output aligned with business priorities.

Career Impact: Owning the requirements-to-insight pipeline in a data-driven organization positions analysts to move into senior BA, product ownership, or analytics leadership roles within three to five years.

Business Impact: The decisions executives make on pricing, campaign spend, and operational efficiency are only as sound as the requirements and analysis you produce - gaps in that work translate directly into misinformed strategy.

Growth Opportunity: Hands-on exposure to machine learning project lifecycles, OKR frameworks, and Agile scrum methodology expands your market value well beyond traditional reporting roles and opens doors to data product and strategy functions.

• Define business problems in partnership with product owners and senior stakeholders, translating vague requests into structured requirements and acceptance criteria.
• Develop and maintain performance dashboards and recurring reports that track KPIs across business units, ensuring data accuracy and consistent methodology.
• Gather, clean, and analyze datasets using SQL and scripting tools to surface actionable patterns and support management decisions.
• Author user stories and maintain a backlog three to four sprints ahead of the delivery team in Agile scrum environments.
• Map current-state business processes and document data flows to identify gaps, inconsistencies, and opportunities for automation or streamlining.
• Communicate analytical findings and recommendations to stakeholders at all levels, including executive audiences, in clear written and verbal formats.
• Partner with data engineers, data scientists, and architects to translate business requirements into technical specifications and validate solution outputs against defined OKRs.
• Support user acceptance testing and production releases, confirming that delivered solutions meet documented business requirements.

• Bachelor's degree in Business Analytics, Computer Science, Mathematics, Economics, or a related quantitative field, or equivalent work experience.
• Two or more years of business analysis or data analysis experience, with demonstrated responsibility for requirements gathering and stakeholder reporting.
• Proficiency in SQL for querying relational databases, including writing complex joins, aggregations, and data validation logic.
• Experience building dashboards and visual reports that communicate KPIs to non-technical audiences.
• Demonstrated ability to translate business needs into structured user stories, data flow diagrams, or functional specifications.
• Strong written and verbal communication skills, with experience presenting findings and recommendations to management-level audiences.
• Ability to manage multiple analytical projects concurrently in a fast-paced, cross-functional environment.
• Familiarity with Agile or iterative delivery methodologies, including sprint planning, backlog grooming, and story estimation.

• Seven or more years of BA experience in a digital transformation or analytics center of excellence context, with a track record of leading business case development.
• Hands-on exposure to machine learning or AI project workflows, including collaborating with data scientists on model requirements and translating outputs into business insights.
• Experience with OKR definition and measurement frameworks in a product or platform delivery context.
• Background in aerospace, retail, hospitality, or another domain with complex multi-brand or multi-region data environments.

• Requirements acceptance rate, measuring the proportion of user stories approved without rework at sprint review.
• Dashboard adoption rate, reflecting the percentage of targeted stakeholders actively using delivered reports month over month.
• Data defect rate, tracking the frequency of inaccuracies found in analytical outputs after stakeholder delivery.
• Backlog health ratio, measuring the number of groomed, ready stories maintained ahead of the active sprint.
• OKR traceability coverage, reflecting the share of delivered solutions mapped to a documented organizational objective.
• Typical tools: Query and scripting environments (commonly SQL, Python, or SAS); BI and visualization platforms (commonly Tableau or Power BI); project tracking (commonly JIRA or Azure DevOps).

• Base Salary Range: $75,000 to $105,000 annually, varying by location and seniority
• Bonus: Annual performance bonus, typically 5% to 10% of base salary
• Equity: Rare at individual contributor level; possible at senior or lead level
• Health Benefits: Medical, dental, and vision; employer contribution standard
• PTO: 15 to 20 days annually plus federal holidays
• Common Perks: Professional development budget, remote or hybrid flexibility, tuition reimbursement

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

Successful completion of a background check is required as a condition of employment. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, or local law. Applicants requiring reasonable accommodation to participate in the hiring process or perform essential job functions may request assistance at any time. Candidates must be authorized to work in the United States.

The Business Analyst owns the development of reports, dashboards, and KPI metrics for the Service and Customer Care organization at Lucid, translating raw data into actionable insights for leadership. Working closely with stakeholders across the Service Organization and systems teams, the Business Analyst enables faster, more informed decision-making by streamlining data flows and maintaining consistent, permission-controlled reporting.

Key Responsibilities

• Work with multiple stakeholders within the Service Organization to understand their business needs and develop reports and dashboards.
• Develop KPI metrics for teams by gathering requirements, documenting, and presenting metrics via reports.
• Work with business process owners to develop process and data flows to streamline business processes.
• Communicate actionable business insights to stakeholders on time.
• Manage access permissions to reports and dashboards according to business needs.
• Collaborate with other analysts to maintain the quality and consistency of reporting.

Required Qualifications

• Bachelor's degree in Business Analytics or a related field.
• Salesforce certification is highly preferred.
• 2+ years of experience as a Business Analyst or Data Analyst in a Service or Customer Care domain.
• Experience building accurate reports and dashboards, including managing access permissions.
• Knowledge and experience in SQL for analytics.
• Experience building data visualizations in Tableau.
• Excellent written and verbal communication skills, with the ability to present insights to business leaders.

Embedded within the PWM business, the Business Analyst delivers monthly reporting and analytical support across AUM, Revenue, Billing, and Compensation, serving as a subject matter expert who ensures project deliverables align with business policies and standards. Working closely with Finance, Operations, and Technology teams, the Business Analyst bridges client-facing PWM teams with internal functions to surface enhancement opportunities and keep data accurate across private funds activity.

Core Functions

• Support and improve ad hoc processes and analytics involving AUM, Revenue, Billing, and Compensation.
• Track Private Funds activity and work closely with Finance to reconcile data on a regular basis.
• Gather data from Finance, Operations, and PWM teams for monthly reporting.
• Assist with day-to-day business supervisory functions including Travel and Expenses, Invoices, Client Gifting, and Billing.
• Act as Subject Matter Expert for the PWM business to ensure project deliverables meet business policies and standards.
• Serve as a business liaison between client-facing PWM teams and Technology, Operations, and Finance.
• Engage with business users to identify enhancement opportunities and priorities.

Qualifications & Experience

• Bachelor's degree in Management Information Systems, Finance, Economics, or Business.
• Financial services experience is a plus, with knowledge of equity and fixed income asset classes and investment vehicles.
• Advanced proficiency in Excel and PowerPoint.
• Experience with SQL is a plus.
• Strong analytical, organizational, and follow-up skills with the ability to gather and represent data effectively.
• Detail-oriented, collaborative, and flexible with a willingness to take on tasks at all levels.
• Excellent presentation, business writing, and oral communication skills.

Reporting to senior management, the Business Analyst shapes analytics and AI development initiatives across a global enterprise by aligning user-centric business demands with a state-of-the-art technology stack spanning cloud computing, big data, and microservice architecture. Partnering with Domain Experts, Data Scientists, Solution Architects, and Machine Learning Engineers, the Business Analyst enables faster implementation of advanced software solutions by managing stakeholder requirements and driving DevOps-aligned delivery.

Primary Duties

• Consult business partners along the analytics and AI development process with stakeholders, project teams, and management.
• Identify the true demands of user requests and elaborate the best opportunities in a user-centric approach.
• Align analytics and AI business demands with a state-of-the-art technology stack to optimize value for all stakeholders.
• Join development projects along the DevOps process for fast implementation of advanced software solutions.
• Collaborate in a global team with Domain Experts, Data Scientists, Solution Architects, and Machine Learning Engineers.
• Manage stakeholders and report progress to senior management.
• Assist in identifying business needs, drive collaboration between teams, and manage requirement changes for AI projects.

Skills & Qualifications

• Bachelor's or Master's degree in Economics, Business Informatics, or a similar field.
• Experience as a Business Analyst or Consultant in AI and software development, with project management experience.
• High analytical skills and keen perception to approach new challenges.
• Solid understanding of negotiation and creativity techniques such as Design Thinking.
• Excellent leadership abilities, strong self-management, and a conscientious, assertive character.
• Persuasive communication and presentation skills.

Sitting at the intersection of corporate strategy and advanced analytics, the Business Analyst leads quantitative analysis, financial modeling, and competitive intelligence work that informs long-term planning and budgeting for Visa's global MS&A organization. Operating across cross-functional and regional teams, the Business Analyst delivers executive reporting, client-facing partnership materials, and fact-based recommendations that enable the sales organization to drive product adoption and provide measurable value to clients.

Duties

• Create presentations for internal approvals and external client-facing partnership discussions.
• Communicate recommendations to senior management and executive stakeholders in a clear and impactful way.
• Develop rigorous, fact-based quantitative analysis utilizing multiple data sources to ensure financial soundness and strategic alignment.
• Analyze and package data for internal and client usage, creating executable action plans tailored to specific needs.
• Provide regular and ad-hoc executive reporting including Monthly Business Reviews, CEO Day, and All Hands updates.
• Solve business problems by collaborating with a range of internal stakeholders to develop recommendations on key challenges.
• Collaborate on the preparation and delivery of materials, reports, and analysis for internal and client-facing presentations.

Education & Experience

• Bachelor's degree or Advanced degree such as a Master's, MBA, JD, MD, or PhD.
• 2 to 4+ years of experience in consulting, investment banking, corporate strategy, or FP&A.
• Knowledge of payments and experience interacting with merchants, acquirers, and processors is a plus.
• Superior analytical skills with demonstrated rigor in data analysis and financial modeling.
• Experience with programming languages such as SQL, Python, R, or Java, and visualization tools such as Tableau.
• Proficiency in Excel, Word, and PowerPoint.
• Self-motivated and results-oriented.
• Excellent written and oral communication skills.

A key member of the analytics and marketing team, the Business Analyst delivers concise business reporting, customer insights, and financial models that generate profitable incremental sales across retail marketing initiatives. Collaborating across onshore and offshore resources, the Business Analyst drives automation efforts and experimental design while maintaining reporting processes grounded in rigorous SQL-based data mining and analysis.

Functions

• Execute concise and actionable business reporting with customer insights.
• Work with team members and business partners to define requirements for analysis and reporting.
• Gather data, apply analytic methods, and synthesize conclusions into recommendations.
• Develop, maintain, and enhance reporting and analysis processes to generate profitable incremental sales in marketing.
• Lead automation efforts and implement streamlined processes and technical best practices.
• Work with offshore resources to implement automated ad-hoc requests.
• Identify data inconsistencies, determine root causes, and make recommendations for resolution.
• Set up experimental designs and create financial models or test plans to evaluate promotional tactics.

Requirements

• Bachelor's degree in Economics, Statistics, Physics, Mathematics, or a related field, with an MA, MS, or MIS as a plus.
• 3 to 5 years of experience in data mining and business analytics.
• Experience with marketing metrics and retail marketing databases is a plus.
• Extensive experience executing complex SQL queries, with Teradata SQL experience as a plus.
• Strong understanding of relational databases.
• Proficiency in SQL, SAS, or other data mining packages.
• Advanced Excel skills and strong technical and analytical skills.
• Effective written and verbal communication skills.
• Ability to work in a fast-paced team environment.

Accurate, multi-brand decision-making depends on the Business Analyst, who produces dashboards, exploratory analyses, and impact assessments that track performance across business units and inform customer, inventory, campaign, and marketing-spend strategy. Based within a cross-functional environment spanning sales, marketing, finance, and inventory management, the Business Analyst partners with the Business Intelligence Team to surface trends and deliver clear, actionable recommendations at every level of the organization.

Accountabilities

• Analyze owner, customer, and transactional data to develop recommendations on customer behavior, inventory performance, campaign management, and marketing spend.
• Define data requirements needed to understand product and business performance and answer stakeholder questions.
• Partner with the Business Intelligence Team to create insightful reporting that tracks performance across business units and identifies reporting improvement opportunities.
• Collect, clean, and process data to identify patterns and trends that improve decision-making.
• Communicate findings and recommendations to all levels of the organization in a clear and concise manner.
• Collaborate with teams in sales, marketing, finance, and inventory management on projects and new business initiatives.

Experience & Qualifications

• Bachelor's degree in Business, Marketing, Economics, Finance, Math, Statistics, or a closely related field.
• 2 years of experience in an analytical role in sales and marketing, finance, inventory management, strategy, or consulting.
• Travel or hospitality industry experience is a plus.
• Strong knowledge of programming languages such as SAS, SQL, Snowflake, or Python.
• Experience in data mining and statistics.
• Advanced skills in Excel, PowerPoint, and Word.
• Proficiency in a visualization tool such as Power BI or Tableau.
• Strong analytical skills with the ability to extract, manipulate, and analyze data to provide strategic insights.
• Excellent interpersonal, written, and oral communication skills with the ability to manage deadlines in a cross-functional environment.

As the Business Analyst, this role advances product strategy and business value delivery within a digital transformation team by translating user needs into user stories, acceptance criteria, and backlog items for a squad of data scientists and data engineers building machine learning, AI, and statistical models. The Advanced Analytics team relies on this work to maintain a backlog running three to four sprints ahead, define and track post-release performance metrics, and keep team strategy aligned with the overall product vision.

Operational Focus

• Collaborate with a Product Owner to shape product strategy and determine business value.
• Create, manage, and modify requirements to accomplish team goals.
• Translate user needs into user stories and acceptance criteria, and maintain a backlog 3 to 4 sprints ahead of the team.
• Serve as the day-to-day contact for requirements clarification and drive user stories across the squad.
• Lead business case building, support value assurance of digital solutions, and define and track performance metrics after production release.
• Stay in sync with the Product Owner on priorities and support alignment of team strategy with overall product vision.
• Prepare and support the team on product demos.

Professional Experience

• Bachelor's degree in Mathematics, Computer Science, Engineering, Business, or a related quantitative field, or 9 years of related experience instead of a degree.
• 7 years of IT Business Analyst experience covering requirements gathering, product ownership, testing, and Agile methodology.
• Experience in using cost-benefit analysis for feature prioritization and leading business case-building processes.
• Experience working with Data Scientists and Data Engineers in an advanced analytics environment.
• Proficiency with Agile tools such as Azure DevOps.
• Strong communication skills with the ability to present complex messages, trade-offs, and requirements to development teams and stakeholders.
• Innovative mindset with the ability to drive team collaboration and empower others.

Business Analyst builds the requirement documentation, scope definitions, and intelligible data catalogs that underpin the design, expansion, and operation of a modern analytics platform supporting safe and repeatable spaceflight at a leading aerospace organization. Success in the position means partnering daily with stakeholders, product managers, engineers, and architects to map systems to business capabilities, define OKRs, and validate data models across procurement, supply chain, and manufacturing domains.

Technical Responsibilities

• Comprehend customer problems and develop solutions to address them.
• Identify requirements and translate them into technical implementation plans.
• Collaborate with departments, product managers, engineers, and architects to collect, document, and communicate business and system requirements.
• Observe, document, and validate business processes across a wide range of business functions.
• Map systems and solutions to business capabilities and identify OKRs to measure solution improvements.
• Work with engineers to define and document source-of-truth data models for business and technical analysis.
• Define and measure operational metrics for the team and support software releases and User Acceptance Testing.

Background & Experience

• Bachelor's degree in a technical or business-related field.
• 2+ years of experience as a Business Analyst, Data Analyst, or similar position.
• Business domain knowledge in procurement, supply chain, manufacturing, or aerospace.
• Strong analytical skills and proficiency in data mining, data quality improvement, and data documentation.
• Experience with SQL and NoSQL databases, data warehouse architecture, OLAP systems, AWS services, version control, and YAML or Markdown syntax.
• Proficiency in Tableau, Power BI, or similar tools, as well as JIRA, GitLab, and Confluence.
• Excellent written communication and presentation skills.
• Passion for problem-solving and building inclusive professional relationships.

The Business Analyst crafts analytical solutions to loosely defined business problems within the Analytics CoE, independently translating stakeholder needs into hypothesis-driven models spanning regression, time series, clustering, and predictive techniques. The work directly supports the organization's digital customer engagement outcomes by embedding analytics solutions into live business operations and coordinating with stakeholders across global teams to monitor satisfaction and drive continuous improvement.

Key Deliverables

• Define problem statements and hypotheses needed for analysis.
• Experiment with data and available modeling options to achieve the best results.
• Translate modeling outcomes into actionable insights usable by stakeholders.
• Coordinate with multiple stakeholders across the globe and drive conversations independently.
• Proactively seek internal customer feedback to monitor satisfaction and enable improvements to functional advice.
• Provide proactive analytical support to internal stakeholders wherever digital customer engagement is required.
• Complete an annual cycle of Continuing Professional Development to maintain and deepen professional expertise.

Knowledge, Skills & Abilities

• Bachelor's or Master's degree in Mathematics, Computer Science, or a related field.
• 3+ years of experience with analytics algorithms and tools across the project lifecycle.
• Strong knowledge of statistical techniques and machine learning algorithms, including regression, time series, clustering, text analytics, and predictive modeling.
• Proficiency in machine learning frameworks and statistical modeling using R or Python.
• Exposure to AI and deep learning.
• Experience with data modeling on the Azure cloud platform and web analytics tools.
• Excellent communication, interpersonal, and data storytelling skills.
• Demonstrated ability to solve loosely defined business problems using structured and unstructured data sets.