• Support Sales, Operations and Planning with forecasts based on market analysis of customer, market, and company data
• Collect, analyze, and evaluate data turning it into usable information that can be interpreted into business intelligence
• Partner with key stakeholders to obtain market (Customer, Competitor, and Flow Controls) information
• Collaborate with team members to provide effective solutions for data needs
• Create data visualization tools for businesses to make intelligent decisions
• Using automated tools to extract data from primary and secondary sources
• Use statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
• Actively participate in continuous improvement activities to support business performance
• Devise methods to collect and categorize customer, competitor, and Flow Controls data
• Identify data errors and make appropriate adjustments to ensure data accuracy
• Demonstrate commitment to Service Level Doctrine and Safety Culture

Skills: Data Analysis and Interpretation, Market Analysis, Stakeholder Engagement, Team Collaboration, Data Visualization, Data Extraction and Automation, Statistical Analysis, Quality Assurance and Continuous Improvement

• Develop inventories for business functions, use cases, users, applications, data sources, and data types
• Classify sensitive documents and map them to a particular function within a program.
• Understand data domains with EA and provide guidance for data categorization.
• Use the entity relationship diagram toolset to create logical data mapping models.
• Develop mapping documents or schematics to link business functions, use cases, users, applications, data sources and types, and access controls
• Develop recommendations (for potential new data sources, integration of data sources/applications, data storage options, tools/resources) to mature ENF's data management and governance program
• Develop Next Steps Roadmap data management and governance program
• Identify and inventory all of its business functions that are supported by applications and data sources
• Identify and inventory all of its intelligence sources, including datasets, data feeds, and other data sources, and identify all derivative data
• Identify how the data is used, stored, managed, and integrated within the organization and its database systems

Skills: Data Inventory Management, Document Classification, Data Governance, Data Modeling, Schematic Development, Strategic Data Recommendations, Data Management Roadmapping, Data Source Identification

• Report the total activities of the company and divisions. 
• Reporting includes retail, wholesale, inventory, and financial figures. 
• Report to the managers with clear explanations to support managers in making the right decision.
• Create and manage budget and MTP systems, so that divisions can enter the data.
• Combine the different budgets into one company budget. 
• Provide the correct market data for making the budgets.
• Report total market figures and analyze these markets.
• Make plans to improve the individual markets.
• Investigate the different markets for trends and opportunities. 
• Bring this to the attention of management.
• Provide management and the dealer network with the requested information for all different projects.
• Reviewing test results for quality assurance to confirm acceptance criteria are met for user acceptance testing
• Working with vendors to implement new systems and/or modify and maintain toolsets

Skills: Financial Reporting, Budget Management, Market Analysis, Strategic Planning, Data Management, Quality Assurance, Vendor Collaboration, Project Communication

• Analyze end-to-end business processes and reporting needs of varying complexity, encompassing one or more Company business functional operations and potentially external entities.
• Understand the client's current and future business environment, effectively anticipate, identify, and fully meet all reporting needs.
• Anticipate client concerns and questions and provide timely, professional, and client-focused communications via meetings, status reports, phone, and email and follow through with results.
• Prepare communications and presentations on a weekly basis to support Operating Period needs.
• Provide timely responses to client inquiries.
• Work with team members, supervisor, and client organizations as appropriate to ensure smooth operations to minimize impact on business operations and enable the business to achieve results.
• Define and document reporting requirements.
• Perform functional integration testing of transactional processing, data extracts, and reporting.
• Comply with SOX documentation and other standard process requirements as appropriate.
• Configure system parameters or soft tables to enable application functions to perform per specifications.
• Develop queries to extract data or create operational reports using production databases.
• Conduct all work safely and promote safe work practices. 

Skills: Business Process Analysis, Client Environment Understanding, Client Communication & Follow-Up, Presentation Preparation, Timely Client Responses, Team Collaboration & Operation Support, Reporting Requirement Documentation, Functional Integration Testing

• Work with business stakeholders and IT to analyze, define and document data requirement and reporting requirements
  
• Provide the data oversight for business, by establishing needed checks/balances, identifying business owners for data and establishing SLAs to address issue
• Manage reporting requests from business owners and document requirements.
• Manage the review with key stakeholders on data structure, mappings and data consolidation
• Address open questions on data alignment between legacy and WISH systems
• Participation in grooming and sprint planning session
• Work with business and IT to identify any business rules necessary to support data sync between the legacy and WISH system
• Work with IT System Analyst on design/development of templates and/or applications to support data administration and input
• Attend all safety meetings and training sessions. 
• Comply with all Utility safety best practices and safety accountability model.
• Demonstrated excellent written and verbal communication skills.
• Demonstrated coursework and/or training in programming languages used for client applications and proficiency in Microsoft Office Suite.

Skills: Business and IT Collaboration, Data Management Oversight, Reporting Management, Data Structure Review, Data System Alignment, Agile Methodology Participation, Business Rule Identification, System Design and Development Support, Safety Compliance, Communication Proficiency, Programming and Microsoft Office Proficiency.

• Analyze internal and external customer data sources to identify trends and opportunities and support the Customer Experience department’s decision-making.
• Support Customer Experience Department projects, initiatives and decision-making with business and data analysis
• Continuously analyze existing data for Customer Experience improvements
• Identify and deliver additional data/information needs
• Maintain, enhance, and (help) create Customer Experience dashboards, making them understandable and usable to uncover insights
• Recommend changes in business model and processes to achieve efficiencies, service level or experience improvements
• Participate in Customer Experience projects to define the business and data requirements
• Participate in operational discussions for problem resolution and be able to communicate complicated business/technical solutions
• Analyze current operational models and identify performance improvement opportunities
• Deliver the data and information in a useful and appealing way to colleagues
• Improve data culture by providing data visualization ready to use templates
• Interface with the data and applications teams, as well as operational departments
• Simulating the outcome of changes in process and workflow
• Assist with the development of requirements, testing, training documents, SOPs, and related materials for CX projects, applications and services

Skills: Data Analysis, Business Analysis, Dashboard Development, Process Improvement, Requirements Gathering, Problem-Solving, Data Visualization, Documentation

• Querying for ad-hoc data requests
• Gather requirements for new reporting and develop of new reporting views
• Organize, prepare, and present data to management
• Prepare supporting work papers and tie outs for all fillings
• Develop and perform complex analysis and modeling
• Prepare statements of cash flows for the subsidiaries
• Provide analytical support to the Manager
• Deliver data and other support information requests for audits and reviews conducted by external auditors
• Assist in the debt compliance reporting process, including understanding of debt agreements and creating the necessary reporting from those agreements
• Participate in the earnings release process including assisting with the preparation of the quarterly management reporting package, 
• Prepare and analyze support for investor relations as required and review of financial information included in the earnings release and script
• Take part Sr. level meetings and provide analytical insight to management to drive business strategy
• Demonstrate behaviors that are aligned with the organization’s desired culture and values
• Work with internal and external business partners to collaborate and deliver enterprise related project

Skills: Data Querying and Analysis, Reporting Development, Financial Analysis and Modeling, Financial Reporting and Compliance, Audit Support, Investor Relations Support, Strategic Insight, Collaboration and Project Management

• Meet periodically with UKI Supply & Fulfilment Senior Management Team, to understand their reporting needs, and to propose solutions.
• Analyse Supply & Fulfilment data in combination, going beyond basic activity measures to identify factors driving results, positive and negative. 
• Provide results and recommendations to optimise positive and minimise negative factors.
• Undertake annual review of Supply & Fulfilment Strategic Objectives, making recommendations of where reporting levels should be revised. 
• Identify opportunities to increase visibility and tracking, through enhanced reporting processes.
• Analyse operating costs to identify potentially unjustifiable costing, and work with businesses to minimise risk/ maximise opportunities to increase operating costs versus sales percentage.
• Analyze the success of Strategic Objectives and their correlation to the success of each department.
• Analyse supply and fulfilment data to uncover less obvious trends/ provide clear pictures of the business performance (including the use of external data points, such as hospital size, bed numbers, patient demographics, etc). 
• Make recommendations to the business on areas to focus on, based on analysis of what is likely to drive the most positive impact for the company.
• Recommend improvements to reporting/ data structures used for reporting.
• Support reporting for projects on an ad-hoc basis.

Skills: Data Analysis and Interpretation, Strategic Planning and Recommendations, Stakeholder Engagement, Cost Analysis and Optimization, Enhanced Reporting Processes, Cross-functional Collaboration, External Data Integration, Reporting Structure Optimization

• Coordinate with other functions as necessary to ensure robust integration of critical operating systems.
• Develop data policies to ensure the accuracy and reliability of all maintenance data in the maintenance system. 
• Maintain data entities for the PLM repair vendors, repair types, parts lists, vehicle maintenance (VMRS) coding and standard cost and price lists in the system.
• Document definitions of critical data entities, and attributes and enforce use of all system fields to ensure maintenance data hygiene.
• Establish and act on Standard versus Actual price controls, designing a data-driven system to identify variances, routines for verification and processes for communicating updates.
• Monitor coverage of PLM’s service vendor network, work with PLM service management team to strengthen the network
• Support KPIs for PLM’s Fleet Operations and Field Maintenance teams. 
• Provide the data, analysis and dashboards to enable the daily operating rhythms for the teams.
• Embrace and promote a culture focused on building a world-class customer experience related to cold supply chain needs and activities
• Actively participate in various cross-functional efforts to support business goals

Skills: Coordination, Data Management, Database Management, Documentation, Cost Control, Vendor Management, KPI Management, Customer Experience

• Ensure confidentiality and compliance in accordance with HIPAA and Code of Conduct standards.
• Interact with AVP, Payment Integrity, or other designated point-of-contact(s) to review and validate results of data mining requests
• Establish and maintain advanced knowledge of data warehouse, database design, data definitions, system capabilities, and data integrity issues.
• Demonstrate proficiency in PC, spreadsheet, and database skills, as well as experience in business information tools, dashboards, and programming/query languages.
• Complete analytical services for business data needs, prepare reports that summarize methodology, analysis, and interpretations, and make recommendations for viable solutions
• Troubleshoot data issues, validate result sets, recommend and implement process improvements
• Review and manipulate data and reports from multiple sources, including encounters, authorizations, Medicare, Medicaid and Commercial claims data for behavioral health.
• Design and maintain data, reports, and dashboards for tracking and reporting of payment integrity concepts, clinical, quality, outcomes, financial, and other research projects.
• Develop functional and technical specifications for data extracts to be used for data analysis and reporting.

Skills: Confidentiality and Compliance Adherence, Data Mining Review and Validation, Advanced Knowledge of Data Management, Technical Proficiency, Analytical Skills, Problem-Solving and Process Improvement, Data Manipulation and Reporting, Dashboard Design and Maintenance

• Expertise in SQL required and familiarity with other coding languages such as Python
• Proficient with data visualization tools such as Tableau required, and experience with Snowflake
• Strong Excel skills including pivot tables, complex formulas, and data analysis.
• Expert data storyteller, comfortable with taking complex datasets and findings to create digestible, visual recommendations to the wider team.
• Experience with cleaning and processing raw data into a range of outputs, including ad hoc recommendations, pivot tables, presentations or other analysis upon request.
• Ability to self-manage multiple projects with various levels of autonomy and oversight.
• Proficient in Microsoft Office (Excel, Word, PowerPoint etc.), Google Suite (Docs, Slides, Sheets etc.).
• Interpersonal, oral/written/presentation communications skills to document and present business needs, specifications, reports, project documents, and implementation plans.
• Experience in customer-facing roles preferred.
• Able to proactively troubleshoot and solve problems and know when those items should be escalated to senior team members.
• Ability to work both independently and with interdisciplinary teams.
• Enjoy being challenged and thrives in fast-paced and ambiguous environments and isn’t afraid to ask a lot of questions.
• Demonstrate dependability, responsibility, self-awareness, integrity and accountability.

Qualifications: BS in Statistics with 3 years of Experience

• Experience in generating and presenting insights from marketing/product data
• Experience in advanced analytics and optimization a plus
• Experience with customer behavioral analytics and or marketing analytics
• Strong SQL skills to perform data segmentation and aggregation from scratch
• Experience working with granular web clickstream data and behavior-tracking tools
• Domain experience in subjects such as experimental design and Multivariate/A-B testing is a plus
• Knowledge of programming languages and stats packages (e.g. Python, R)
• Experience in developing and deploying machine learning models preferred
• Strong communication skills with the ability to influence decision-makers and build consensus with teams
• Hands-on in solving any type of business or organizational problem and interested in driving practical outcomes
• Structured thinker with the ability to frame and solve unstructured problems
• Highly detail-oriented with strong analytical skills, troubleshooting and data/information organizational skills.
• Ability to work under pressure and meet tight deadlines

Qualifications: BA in Economics with 2 years of Experience

• Experience in data collection and database design 
• Experience in Reporting systems and project management
• Experience in Documentation and design.
• Experience in overall general systems and applications.
• History of handling multiple projects simultaneously while showing sound judgment and initiative to accomplish duties.
• Proven prioritization and organizational skills with the ability to make decisions and resolve issues while working under pressure.
• Track record of working independently to resolve issues and handle requests or situations.
• Experience performing detailed business analysis and design to effectively consult with leadership.
• Effective written and spoken English communication skills with all levels of an organization.
• Knowledge of Spectrum Enterprise telecommunications products.
• Understanding of business process re-engineering.
• Familiar with operating systems, including NT, desktop productivity software and client and server system architecture.
• Experience with database and reporting systems, such as SQL, Oracle, .NET or Crystal.
• Hands-on experience with basic ETL concepts and systems, like SSIS and Informatica.
• Prior experience with Structured Query Language, such as TSQL and PLSQL and SQL server reporting services.

Qualifications: BA in Computer Science with 5 years of Experience

• Experience with Visio or other workflow/process documentation tools.
• Experience with data mapping and reporting tools.
• Knowledge of business and functional requirements gathering tools and processes.
• Project Management and/or Business Analyst experience.
• Experience in understanding how to conduct and document business process mapping.
• Experience developing process flows.
• Strong technical writing experience (business and functional requirements document etc.) with creating end-user documentation such as procedures, training materials, and release notes.
• Attention to detail is a must, with a focus on executive-quality presentation.
• Ability to follow and apply established formatting and style conventions as well as propose additional conventions as new artifact scenarios arise.
• Strong communication skills with an ability to “translate” technical details to non-technical users.
• A great communicator, turning numbers into insights.
• Ability to synthesize data and develop meaningful conclusions and predictive insights
• Strong in MS Excel and PowerPoint skills
• Proficient in, Python, R, Tableau, SAP Business Objects or other business intelligence platforms would be ideal.

Qualifications: BS in Mathematics with 4 years of Experience

• Experience developing rich portfolio of design uses cases demonstrating excellent user experience
• Experience leading analytics projects with stakeholders
• Strong oral and written communication skills with experience in relating complex concepts to non-technical users, including presentation and storytelling with data
• Visual design expertise with a solid understanding of the best practices around dashboard and visual perception.
• End-to-end development experience and ability to create complex calculations including Level of Detail (LOD) expressions, action filters, user filters and implement advanced dashboard practices in Tableau
• Solid understanding of how to consolidate and transform data to meaningful and actionable information
• Ability to draw out meaningful business insights by synthesizing information from multiple sources
• Demonstrated experience in the development of analytics applications or data analysis, including insights development and communication to senior leadership
• Experience with Agile or design-driven development of analytics applications
• PMP and/or Scrum Master certification
• Experience with optimization and tuning of large data extracts for Tableau
• Tableau desktop and server certification
• Knowledge of the Insurance or Financial Services industry

Qualifications: BA in Information Systems with 5 years of Experience

• Have certified in Google Analytics, GTM (Google Tag Manager)
• Experience with marketing campaign analysis in Google AdWords and other packages like DoubleClick
• Experience with SEM, SEO and Social Media.
• Experience in using Google Tag Manager (GTM), Big Query Automation
• Have hands-on knowledge of Google Analytics, GTM, Firebase, Optimize
• Have experience in implementing and managing Google Analytics (GA360).
• Have strong project management skills including demonstrated ability to think end-to-end, manage long-term projects and manage multiple projects simultaneously.
• Have excellent problem-solving and analytical skills and impeccable business judgment.
• Have excellent communication and interpersonal skills, with the ability to be personable yet persistent.
• B2B eCommerce experience is good to have.

Qualifications: BS in Applied Mathematics with 3 years of Experience

• Knowledge of Data Management applications
• Knowledge of Enterprise data architectures
• Knowledge of Business Intelligence and Data Mining applications
• Knowledge of investment management data, in particular performance and risk, trading, and external market data
• Knowledge of Data Management and Data Analytics and technology toolsets supporting these areas, such as in the areas of data modeling, data mining, data visualization, etc.
• Intermediate knowledge of Microsoft Excel
• Intermediate knowledge of SQL and VBA (or) Python (or) R
• Ability to understand relationship of databases and flow of data throughout the organization
• Ability to understand programming logic driving data extracts and generation of data elements
• Knowledge of Microsoft Visio
• Ability to design and develop data flow diagrams
• Strong verbal and written communication skills
• Ability to communicate effectively with persons located in different countries
• Strong attention to detail and excellent organizational skills
• Ability to perform multiple tasks in a fast-paced, continually changing environment

Qualifications: BA in Business Administration with 4 years of Experience

• Understanding and ability to conduct data extraction from multiple global sources
• Interest in improving processes and creating efficiencies
• Demonstrates curiosity about what drives business trends and customer behaviors
• Must be comfortable with a constantly evolving environment and rapidly changing priorities
• Must be Business-Centric, Data-Oriented, Analytically Minded and Results Driven
• Ability to develop datasets to support advanced analytics and reporting
• Attention to detail and accuracy
• Solid critical thinking skills to scope and frame problems
• Displays excellent judgment to understand and support business needs
• Must be able to effectively plan and manage responsibilities
• Effective verbal and written communication skills to manage expectations and challenges, with technical and non-technical audiences
• Deep knowledge of SQL databases is preferred – writing queries, creating tables and views for self-service and/or BI tools
• Familiarity with Power BI data modeling is preferred
• Experience visualizing data and building dashboards

Qualifications: BS in Operations Research with 2 years of Experience

• Deep understanding and knowledge of data analysis, math & statistics, reporting
• Good understanding of Business Change Management
• Experience working with Developers or Business SMEs
• Interpersonal skills to interact with various business data owners
• Best practices on data management and data governance
• Excellent verbal and written communication skills
• Proven track record on working in a cross-cultural environment
• Effective listening skills in order to understand the requirements of the business
• Teamworking skills and a collaborative approach to sharing ideas and finding solutions
• An independent and motivated individual and requires little supervision and demonstrates sound judgment and decision-making skills 
• Experience with statistical analysis tools such as Excel, SQL, Python, R, Stata, or data visualization tools.
• Working knowledge of the fundamentals of risk policy such as fraud detection, 3rd party fraud, identifying patterns from large data set and ability of write business rules
• Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity.
• Strong organization and time management skills and the ability to manage multiple projects and priorities

Qualifications: BA in Management Information Systems with 5 years of Experience

• Experience with reviewing historical sales trends, researching demand drivers, and working with forecast software packages to develop statistical models
• Effectively communicating and interacting with business and technical personnel in solving complex business problems
• Working with the end users to understand requirements, formulate use cases, and translate needs into effective technical solutions
• Experience with participating in brainstorming sessions and contributing ideas to technology, algorithms, and products
• Experience with interacting with multiple business units and cross-functional teams to drive consistency and standardization across the enterprise
• Experience with leveraging both new and existing technologies to create reports, dashboards, scorecards, and visualizations that clearly measure KPIs
• Experience with analyzing and researching opportunities for improvement, and clearly documenting action steps for desired change
• Strong business acumen and exceptional analytical ability with relevant experience.
• Experience with Fintech (Small Business Payment, Payroll, or Lending)
• Excellent communication skills with the ability to interact with and understand technical subjects and emerging technologies
• Have a track record of diving into data and drive data insights for business needs both quantitatively and qualitatively. 

Qualifications: BS in Data Science with 4 years of Experience