Data Analyst

• Own the end-to-end delivery of audience segmentation requests from Demand Generation teams
• Manage intake through Workfront, scoping requirements
• Build audience segments in Treasure Data and activate to downstream channels
• Manage the active request queue, maintaining delivery against agreed timelines
• Build audience segments directly in Treasure Data CDP, applying sound segmentation logic
• Develop working knowledge of the CDP data structure
• Work with AI-assisted audience generation via Treasure Data Audience Agent
• Apply consistent quality checks to all audience outputs
• Identify and escalate data quality issues within the CDP
• Maintain thorough documentation of segment definitions and QA outcomes
• Communicate with Demand Generation teams on requirements and any data constraints

Customer Data Analyst

• Maintain the KPI standards for Customer Support: document how each metric is calculated and interpreted, keep definitions current across data platforms, and flag to leadership when targets may need adjustment.
• Build and maintain dashboards in Omni Analytics (our BI platform) that serve analyst, manager, and leadership audiences; maintain the semantic layer and metric definitions so every team measures the same things the same way.
• Produce formal analyses and recommendations on volume trends, resolution efficiency, CSAT, contact rate, and cost performance; frame findings in terms of business impact, not just numbers.
• Identify anomalies and performance gaps in Support data; bring a recommended course of action to leadership rather than a flag, and track the response through to resolution.
• Consult on SQL, Snowflake, and BI standards used for Support reporting; ensure Support modeling approach, query patterns, and tooling match organizational standards.
• Lead metric alignment conversations with Data, Product, and Engineering; represent Support's analytical interests and keep shared definitions from drifting.
• Triage and scope ad hoc analysis requests from across the organization; exercise judgment on urgency, feasibility, and which questions are worth answering.

• Analyze financial and operational datasets to identify trends, risks, and performance drivers
• Design and maintain advanced Power BI dashboards and analytical models
• Leverage Power Automate and Power Apps to streamline data collection
• Perform complex financial data reconciliation and validation
• Extract, transform, and load (ETL) data from various sources
• Partner with Finance and Operations leadership to define key performance indicators
• Apply advanced analytical techniques using DAX, SQL, Python, or R

Financial Data Analyst – Power Platform Specialist

• Sit with internal stakeholders (Medicare sales, finance, operations, HR) to walk them through Omni dashboards, capture feedback, document defects and change requests, and track them to resolution.
• Make report-side changes in Omni: tile edits, formatting, labels, filters, and layout. Escalate anything that touches dbt models or schema to the Interim Head of Analytics.
• Write SQL to spot-check numbers, audit data quality, and answer one-off questions from the business.
• Maintain and update the entity-relationship documentation for the Mart layer as the schema evolves.
• Reconcile reported numbers against source systems (Sabal, Atlantis, Paylocity, Sonar, Retreaver) when discrepancies are flagged.
• Own a clean, organized backlog of business requests and known issues so nothing falls through the cracks.

Junior Data Analyst

• Support Core IT business management activities across forecasting, budgeting, governance, and reporting
• Combine data from multiple source systems to create a clear and consistent view for analysis and decision support
• Analyze financial, operational, and business data to identify trends, risks, opportunities, and recommended actions
• Translate executive-level questions and business needs into clear analytical requirements and business recommendations
• Partner across business, finance, IT, and operational teams to align data, assumptions, and priorities
• Develop reports, dashboards, and visualizations that improve transparency and support stronger business decisions
• Help define and improve business requirements, data definitions, and governance processes
• Use tools such as Power BI, automation, AI-enabled solutions, and big data platforms to improve insights and efficiency
• Support cross-functional initiatives by connecting detailed analysis to leadership-level decision-making
• Drive continuous improvement in how business management data is collected, structured, analyzed, and used across the organization

Business Management Data Analyst

• Support the development and deployment of controls solutions for device-level analytics across GM manufacturing plants
• Help implement and standardize DLA controls architecture
• Ensure compliance with GM common controls standards
• Partner with DLA, controls, IT, and plant teams to understand requirements
• Support development and testing of controls software
• Create and maintain training documentation and standardized work materials
• Analyze plant observations and recommend improvements to controls and analytics solutions
• Travel to GM manufacturing facilities for pilots, testing, implementation, and training

Manufacturing Controls Engineer – Data Analytics

• Develop and deploy advanced analytical models to improve our understanding of Network supply and demand, identify operational inefficiencies, and deliver actionable recommendations to leadership
• Implement real-time dashboards and reporting to track and assess Network performance against established metrics
• Challenge the status quo and propose and test new strategies for increasing competition and engagement within our service provider network
• Analyze feedback, ratings, and reviews from multiple sources and stakeholders to gain insights into service quality and customer satisfaction
• Develop operational and performance data to generate actionable insights and recommendations for 3rd party service providers
• Analyze the capacity of our Network, identifying gaps and opportunities to improve operational efficiency and service quality
• Lead test and pilots for process changes as a result of analysis and communicate the results to management
• Serve as an internal data analytics expert by ensuring consistency in data analysis methodologies and sharing of best practices.

Lead Data Analyst – Network

• Architect, design, and lead enterprise-scale data engineering and BI solutions across diverse Supply chain business domains (Purchasing, Production Planning and Scheduling, Logistics, Supplier Quality).
• Build and optimize robust AI/ML solutions to promote workflow automation and organizational efficiency.
• Champion the adoption of AI/ML-ready data infrastructure and advanced analytics methodologies.
• Develop and maintain logical and physical data models (star, snowflake, medallion architecture) for analytics and reporting.
• Oversee the development of BI dashboards and reports using leading platforms (Power BI, Cognos, Tableau, Qlik, Looker).
• Establish and enforce best practices for data governance, security, master data management, and compliance.
• Collaborate with cross-functional teams, IT, and business stakeholders to align data architecture with strategic goals.
• Mentor and guide data engineers, BI developers, and analysts; conduct design reviews and promote technical excellence.

Business Intelligence Data Analyst

• Lead funding efforts for R&D projects while overseeing and coordinating departmental actual and planning efforts to support both local and global initiatives.
• Short and long-term financial analysis of project portfolio for the purpose of measuring and forecasting future business performance.
• Analyzes internal financial information (e.g., profit loss accounts, financial statements, working capital, costs, prices, expenses, revenues, rates of return, etc.).
• Analyzes external economic conditions and their impact on business operations (e.g., inflation, interest rates, exchange rates, etc.).
• Conducts financial modeling to measure and forecast potential impacts of financial transactions and corporate development activities.
• Proactively analyze project data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance.
• Prepares, plans or recommends solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets, evaluates the potential impact of changes and reports on economic forecasts that affect the industry.
• Become the subject matter expert who uses a variety of data sources to blend and join data for efficient delivery.
• Use analytical thought to independently solve complex problems with minimal guidance.
• Maintain interactive visualization through data interpretation and analysis, integrating various reporting components from multiple data sources.
• Combines a good level of understanding on how business operates with ability to effectively summarize results, communicate and steer senior level stakeholders by leveraging tools like Tableau and PowerBI.
• Utilize/leverage tools like Alteryx, Tableau and/or Power BI to lead automation of data.
• Acts as a resource and guide for colleagues with less experience.

Financial Planning and Data Analytics Analyst II

• Analyze large volumes of diverse operational, financial, and asset-related data to identify trends, patterns, and anomalies that inform business decisions and ICC strategies
• Build and maintain dashboards, reports, and self-service analytics solutions (e.g., in Power BI or Tableau) that provide clear visibility into key performance indicators and metrics for ICC stakeholders
• Perform data profiling, cleansing, and validation to ensure data quality and reliability across structured and semi‑structured sources
• Collaborate with solutions engineers to define data requirements and support the development and enhancement of data pipelines feeding ICC reporting and analytics solutions
• Translate business questions from facilities, operations, construction, corporate citizenship and real estate partners into analytical problems, and deliver structured analyses and recommendations to support decision‑making
• Present complex findings in a clear, concise way using data visualization techniques and storytelling tailored to business and technical audiences, including ICC leadership
• Document data definitions, metrics, and reporting logic to promote consistency, reuse, and a shared understanding of ICC’s data assets
• Support continuous improvement by identifying opportunities to streamline reporting processes, automate recurring analyses, and enhance existing dashboards and data products
• Partner with data scientists on exploratory analysis, feature development, and measurement plans for more advanced predictive and prescriptive models; contribute to basic statistical analysis where appropriate
• Collaborate with professionals across the enterprise, including solutions engineers, data analysts, scientists, software developers, IT personnel, and internal customers in business operations

• Develop and standardize best practices of continuously monitoring emerging safety issues for use in safety hazard monitoring
• Raise the bar on safety‑investigation data‑analytics support by continuously integrating the latest solutions and developing a feedback loop for tool and process improvements
• Correctly perform the appropriate statistical data analysis to provide unbiased results
• Continuously drive efficiencies by implementing automation opportunities using a combination of custom software development and integration of off-the-shelf solutions
• Train new machine learning models to solve complex business problems
• Prototype new AI solutions, including Generative AI, to solve business problems
• Develop new Agentic AI solutions to streamline business processes
• Identify long-term technical innovations while continuously improving execution efficiency
• Exhibit the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive
• Apply strong business acumen, highly specialized knowledge as well as organizational expertise to establish and advance new data-analytics support areas

Lead Data Scientist, Product Safety Data Analytics

• Ensure Finance has clean, reliable, and well-governed data to support analytics and AI initiatives
• Bridge fragmented Dematic data sources into unified, actionable datasets
• Develop, build, and maintain data pipelines from enterprise systems including SAP, Salesforce, global cost book, and other proprietary data sources
• Implement and ensure the integrity of data quality checks, monitoring, and validation processes
• Build, enhance, and maintain analytics dashboards for Finance team members using Power Apps
• Translate Finance reporting and analytical requirements into structured datasets and visual insights
• Partner with an AI/ML engineer to deliver curated, model-ready datasets for advanced analytics and machine learning use cases
• Document data definitions, business logic, and pipeline processes to ensure consistency and clarity

Finance Data Analyst

• Lead analytics projects with key stakeholders in information technology, purchasing, operations, finance, sales and marketing, and external service providers
• Lead Finished Vehicle forecasting process
• Build and automate analytics tools to assist in key goals
• Utilize predictive analytics to assist in future network planning
• Support the business with ad hoc data mining

Logistics Manager – Finished Vehicle Data Analytics

• Compiles data and identifies differences for leads to conduct meetings for coaching and performance of auditors
• Participates in the development of dashboards to drive data-driven decision making and to identify file quality trends and patterns
• Analyzes data to identify problems with audit deployment, audit set up and activation
• Visualize data with graphs, infographics and other methods
• Ensures monthly claim quality file review deployments are balanced for all business lines including auditors and managers according to preset criteria and qualifications
• Validates accuracy of Loss Run Data Files for all companies and all business lines and ensures timely receipt, accurate data and proper file distribution
• Generates manual audits for any reviews required, including sample selection, deployment and drafting attachments for reports
• Utilizes the claim file quality audit tool to improve reporting and analytic outputs and data presentation
• Monitors, adjusts and manages business rules for audit deployment on a monthly basis
• Manages internal requests to add and remove files from the sample following business rules and guidelines
• Troubleshoot various levels of issues between vendor and ACG with audit deployments, reports, etc.
• Obtains data from vendor systems and compile spreadsheets for vendor to assign manual audits on a monthly basis for PD Field, Total Loss and Litigated claims
• Trains new managers on reporting functions of the claim audit tool
• Assigns Work Product Quality and Calibration reviews for the audit teams
• Functions as a liaison between the audit team and the managers conducting audits regarding audit deployment and reporting
• Functions as a liaison between auditors and the audit tool vendor on design and deployment
• Generates custom reports upon request

Claims Quality Data Analyst

• Provides business intelligence support to various department leaders
• Applies statistical techniques and quantitative methods in reviewing data
• Develops scorecards, benchmarking studies, or integrated ad hoc analyses
• Supports and manages analytic design, data collection, and measure reporting
• Develops analytical and statistical skill set to research and make recommendations
• Cleans and manipulates data for report generation or statistical analysis
• Monitors performance of key performance indicators and identifies improvement opportunities

Data Analyst II

• Directs the strategic design, management, and implementation of an enterprise-wide business analytics programs to drive customer solutions, service innovation and profitability
• Leads development and execution of complex analytical solutions to meet business requirements
• Leading the research, development and adoption of new and emerging analytics technologies; identifying technology-based business opportunities
• Implementing mechanisms for ensuring that information provided is accurate, meaningful, has integrity, manages risk and meets the needs of the senior leadership
• Directing, motivating, developing and managing the performance of the management team and key staff

Senior Business Analytics Manager – Enterprise Change & Portfolio Management

• Analyze integrated and extensive datasets to extract value, which directly impacts and influences business decisions.
• Work collaboratively with key business stakeholders to identify areas of value, develop solutions, and deliver insights to reduce overall cost of care for members and improve their clinical outcomes.
• Analyze and run complex reports, understand financial drivers and cost trends, and apply insights to optimize medical spend while maintaining quality of care.
• Interpret and analyze data from multiple sources including healthcare provider, member/patient, and third-party data.
• Lead the planning and execution of large-scale projects and new reporting tools, translating business goals into actionable solutions.
• Identify and resolve data, process, and technical issues and communicate root-cause with stakeholders as appropriate.
• Partner cross-functionally at all levels of the organization and effectively communicate findings and insights to non-technical business partners.
• Independently engage with business leaders to understand market-specific levers and constraints.
• Leverage enterprise reporting tools to rapidly deliver data-driven insights and recommendations.
• Research key business problems and proactively identify opportunities for cost and utilization improvements through quantitative analysis.
• Communicate and present data-driven insights and recommendations to both internal and external stakeholders, soliciting and incorporating feedback when required.
• Mentor junior analysts on analytic best practices and business need fulfilment.
• Delegate tasks to junior analysts, providing guidance and validation where required.

Data Analyst IV, Healthcare Analytics, Medical Economics

• Build, develop, and maintain interactive Power BI dashboards and reports for global collaborators.
• Act as a data and analytics partner within the PMO, supporting project execution and operational teams.
• Work with Snowflake tables and cloud analytics platforms to extract, transform, and analyze data.
• Develop and support Power Apps and Power Automate solutions to streamline data collection and reporting workflows.
• Integrate data from multiple enterprise systems including SAP, Smartsheet, and other operational tools.
• Translate customer and collaborator requirements into scalable, data-driven solutions.
• Ensure data accuracy, consistency, and usability across reports and analytical outputs.
• Identify trends, patterns, and gaps in data and provide actionable insights to leadership.
• Support data automation and self-service analytics initiatives.
• Document data sources, logic, and reporting definitions to promote transparency and reuse.

Data Analyst – Project Management Office

• Supports Medicaid and government-sponsored dental programs, including data reporting, compliance tracking, and analytical support
• Prepares, validates, and submits state Medicaid reporting in accordance with contractual, regulatory, and compliance requirements
• Supports Medicaid state compliance reporting, ensuring accuracy, timeliness, and documentation standards are met
• Oversees and tracks Secret Shopper reporting, including data collection, trend analysis, and performance tracking across reporting periods
• Responds to ad hoc data requests from internal partners
• Performs routine data analysis to identify trends, gaps, and potential compliance risks related to government program requirements
• Assists with data quality checks, reconciliation, and issue resolution across multiple data sources
• Maintains organized documentation supporting reported data, methodologies, and assumptions for audit and compliance purposes
• Collaborates with cross-functional teams to understand data needs and translate business requirements into accurate reports
• Participates in process improvement efforts to enhance reporting efficiency, accuracy, and repeatability

Government Programs Data Analyst

• Support the Industrial Engineering team focused on Connected Vehicle business operations.
• Develop automated processes to reconcile invoice data with Volkswagen system data.
• Improve data accuracy, transparency, and efficiency across financial and operational systems.
• Document and assess existing data handling and reconciliation practices.
• Create data visualization dashboards using Power BI and Tableau to track key metrics.
• Provide training to Volkswagen personnel.

See all jobs on JobTailor

Customer Data Analyst

Data Analyst

Financial Data Analyst – Power Platform Specialist

Junior Data Analyst

Business Management Data Analyst

Manufacturing Controls Engineer – Data Analytics

Lead Data Analyst – Network

Business Intelligence Data Analyst

Financial Planning and Data Analytics Analyst II

Data Analyst

Lead Data Scientist, Product Safety Data Analytics

Finance Data Analyst

Logistics Manager – Finished Vehicle Data Analytics

Claims Quality Data Analyst

Data Analyst II

Senior Business Analytics Manager – Enterprise Change & Portfolio Management

Data Analyst IV, Healthcare Analytics, Medical Economics

Data Analyst – Project Management Office

Government Programs Data Analyst

Co-op – Data Analytics