Data Analyst

• Influence and contribute to the design and development of data services in support of ECAH.
• Define user stories and validate the impact of changes to datasets and data models.
• Break up complex work into digestible work elements with knowledge of agile methodologies.
• Navigate integrated enterprise data and work across multi-functional teams.

Principal Data Analyst

• Analyze Snowflake, cloud, and data platform billing data to identify spend drivers, usage trends, and cost optimization opportunities
• Build, maintain, and interpret dashboards, KPIs, and reporting that enable cost transparency, showback, and future chargeback
• Partner with engineering and product teams to explain cost variance, validate optimization recommendations, and support architectural trade-off decisions
• Support financial planning activities, including forecasting, budgeting, and variance analysis, in close alignment with Finance
• Contribute to cloud and platform cost governance by monitoring utilization, identifying risks, and tracking savings initiatives
• Produce clear, credible insights and narratives that enable informed cost decisions across technical and financial audiences
• Support ongoing improvement of FinOps processes, tooling, and data quality
• Participate in recurring reviews of spend, trends, and investment priorities with cross-functional stakeholders

FinOps Data Analyst – Cost Insight, Business Alignment

• Supports the design, development, and implementation of new reporting requirements.
• Gathers and translates business needs and requirements from non-technical end users and stakeholders into query development and design.
• Fulfills ad-hoc reporting/data requests.
• Performs data validation to ensure completeness and accuracy of queries and reports and reconciles discrepancies.
• Assists in the evaluation and prioritization of reported issues and communicates status and resolution to relevant users.
• Participates in the maintenance of existing queries and reports, re-writing and enhancing these queries as needed.
• Assists in the building of data visualizations and dashboards in PowerBI to display defined KPI.
• Participates in the presentation of complex concepts and results to end users and stakeholders
• Participates in the migration from Tableau to PowerBI

Business 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.

• Serve as Manager for analytics and insights work reporting on various improvement initiatives.
• Drive leading class analytics and insight generation.
• Build cross-functional relationships with business and analytics colleagues.
• Provide insights enabling data-driven decisions for strategic objectives.

Manager, Data Analytics, Insights

• Engage with partners across business, analytics, and technical teams to enable easier access to improved data analytics
• Provide greater insights and decision-making capabilities to support strategic initiatives
• Work closely with a highly skilled, multidisciplinary team, fostering strong collaboration across Fidelity Technology
• Ensure timely delivery and successful outcomes
• Part of our Portfolio and Program team in Enterprise Data and AI that oversees data and AI portfolios and execution of large, complex cross BU strategic initiatives
• Contribute daily to making a difference in Fidelity’s technology advancement

Senior Data Analyst

• Partner across the organization in developing tools and supporting data infrastructure to meet reporting and analytics capability demands
• Deliver insights into business performance and develop predictive analytics that inform strategic decision-making
• Collaborate with business leaders, technology partners, and data teams to advance analytics strategy
• Contribute to data governance routines and ensure availability of trusted, timely data to enhance consistency, execution, and decision quality across the enterprise

Senior Manager, Data Analytics, Insights

• Lead the Business and Data Analytics team
• Deliver actionable insights and dashboards
• Partner closely with FW leaders and stakeholders
• Oversight of analytical solutions to improve business performance

Director, Data Analytics, Insights

• Manage within the WI Internal Analytics, Insights and Reporting team.
• Partner to build cross-functional relationships with business and analytics colleagues.
• Drive improvement and efficiencies for Fidelity Workplace Investing (WI) across diverse solutions and approaches.
• Serve as Manager for analytics and insights work reporting on various improvement initiatives.
• Play a key role in transformation to a platform enabled and capability-led Digital Future.
• Enable Workplace Investments to make data-driven decisions required to meet strategic objectives.

Manager, Data Analytics and Insights

• Analyze business and operational data needs
• Understand upstream and downstream data flows
• Translate business requirements into system and data requirements
• Convert business ask into system‑ready user stories when required
• Analyze system and data dependencies impacting performance
• Collaborate with technology teams to translate business needs into implementation‑ready system and data requirements
• Define source‑to‑target data mappings, interface contracts, and end‑to‑end data lineage across upstream and downstream systems
• Support performance optimization by conducting data analysis, profiling, and validation using SQL
• Convert complex business and data requirements into user stories with clearly defined acceptance criteria and test conditions
• Ensure system and data solutions meet performance, scalability, and operational requirements
• Perform impact analysis related to schema changes, integration logic updates, and data pipeline enhancements
• Lead backlog refinement sessions to ensure stories are clear, testable, and ready for sprint planning
• Support quarterly planning and backlog management for performance‑focused system and data initiatives
• Collaborate with Architecture, Data Engineering, and Application teams to align on data contracts, integration dependencies, and SLAs
• Identify and manage risks and dependencies impacting application and data processing performance
• Support end‑to‑end testing to validate performance improvements and functional alignment with defined requirements

Senior IT Data Analyst

• Support customer segmentation and book-of-business management for sales and CS teams
• Partner with strategic partners and sales teams to align customer data, track sales/CS performance, and optimize partner engagement
• Manage and maintain CRM data integrity, assisting with development and optimization as needed
• Generate reports for QBRs, including sales funnels, Clarus portal KPIs, forecasting, and performance analytics
• Track and analyze rep activity, sales pipeline metrics, and partner team performance
• Provide insights on CRM utilization and automation opportunities for improved efficiency
• Collaborate with leadership to identify gaps in sales enablement and customer success processes
• Support strategic decision-making through data analysis and performance tracking

Sales Data Analyst

• Utilize technical, analytical, and programming skills to support all areas of pharmacy services
• Maintain the pharmacy’s data warehouse
• Design, build and troubleshoot data Extract, Transfer Load (ETL) processes
• Design, build and troubleshoot highly functional data visualizations utilizing Microsoft PowerBI or similar tools
• Collaborate with pharmacy clinical and operational staff to understand health system needs and devise possible solutions
• Keep up to date with the latest technology trends
• Collaborate in the design on business processes to allow for appropriate and efficient data collection
• Work jointly with stakeholders through the healthcare organization
• Take part in and complete technological project work

Systems and Analytics Specialist

• Partner with cross‑functional stakeholders to intake, catalog, prioritize, and deliver enhancements to metrics, reports, dashboards, discovery boards, and analytical tools.
• Develop a strong understanding of enterprise people initiatives and business priorities to connect insights across multiple workstreams and domains.
• Proactively manage analytical projects end‑to‑end, maintaining a consistent cadence of communication, alignment, and updates with stakeholders.
• Analyze complex, enterprise‑wide business questions and deliver insights related to workforce health, operational effectiveness, and employee experience.
• Collaborate with analytics teammates and business partners to deliver high‑quality, scalable solutions and recommendations.
• Bring data to life through clear storytelling, tailoring insights for audiences with varying levels of technical expertise, including senior leaders.
• Balance and reconcile competing stakeholder needs in a fast‑paced environment, prioritizing work based on enterprise impact and strategic value.
• Provide KPI definitions, analytical interpretation, and insight development to support leadership and executive‑level presentations.
• Leverage large, complex data sets to define and refine metrics that meaningfully track outcomes across the employee lifecycle.
• Continuously assess the effectiveness of the analytics tool stack, monitor data quality, and partner with stakeholders to drive adoption and usability.
• Serve as a subject-matter expert in Workday Reporting & Prism, Looker, and Google Cloud Platform, ensuring data is accurate, efficient, and decision ready.

Data Analyst 3, People Analytics

• Partner with key stakeholders within the Workforce Management team and cross-functionally within HR, Finance, Store/Retail Operations and IT on KPI and data delivery/visualization needs
• Participate in various workstreams to provide a foundation in advanced application of data intelligence, processes and tools
• Extract relevant data from source databases to outline key trends around demand planning, staffing, and scheduling
• Utilize data visualization to bring data to life and tell a compelling story built around actionable insights and support the communication of solutions to stakeholders
• Evolve the data analytics and reporting function by automating many of the time intensive (but largely static) data pulls and dashboards/visualizations being performed today, while incorporating new ideas and initiatives
• Build and maintain self-service reporting and scenario planning tools to place the intelligence of HR workforce planning in store operations’ hands

Data Analyst 2, HR Operations

• Partner with Business Stakeholders, Product Owners, Architecture, and Engineering teams to analyze business and operational data needs
• Understand upstream and downstream data flows
• Translate business requirements into system and data requirements
• Convert business ask into system-ready user stories when required
• Analyze enterprise data workflows and system dependencies to identify performance bottlenecks across applications and integration layers
• Translate business performance needs into implementation-ready system and data requirements
• Define source-to-target data mappings, interface contracts, and end-to-end data lineage across upstream and downstream systems
• Support performance optimization by conducting data analysis, profiling, and validation using SQL
• Convert complex business and data requirements into user stories with clearly defined acceptance criteria and test conditions
• Partner with engineering teams to ensure system and data solutions meet performance, scalability, and operational requirements
• Perform impact analysis related to schema changes, integration logic updates, and data pipeline enhancements
• Lead backlog refinement sessions to ensure stories are clear, testable, and ready for sprint planning
• Support quarterly planning and backlog management for performance-focused system and data initiatives
• Collaborate with Architecture, Data Engineering, and Application teams to align on data contracts, integration dependencies, and SLAs
• Identify and manage risks and dependencies impacting application and data processing performance
• Support end-to-end testing to validate performance improvements and functional alignment with defined requirements.

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