Data Analyst

• Build Dashboards, Reports, and Automate Processes (50%)
• Maintain and enhance existing dashboards by collaborating with business partners to understand reporting needs, prioritize requests, and implement data-driven improvements.
• Develop and maintain a data dictionary that clearly documents and defines key metrics, data sources, and calculation methodologies to promote consistency and transparency.
• Partner with the Data Infrastructure team to define reporting requirements and data models to shape self-service analytics.
• Review and analyze existing reports to ensure alignment in metric definitions, improve data accuracy, and identify opportunities to consolidate or retire redundant reports.
• Conduct audits of existing reports and distribution lists to verify appropriate access, ensure compliance with data privacy and confidentiality requirements, and support responsible data governance.
• Maintain existing automations and develop additional process automation required for automated reporting and dashboard updates.
• Data Analysis (25%)
• Analyze data to identify trends, patterns, and insights, and translate findings into clear, actionable recommendations to support workforce and business decisions.
• Respond to ad hoc data requests by preparing clear summaries and visualizations that accurately describe the requested data, highlight key takeaways, and support informed decision-making.
• Support data literacy efforts by helping business partners and other employees understand how to interpret, use, and apply data appropriately in compliance with established definitions, privacy standards, and reporting guidelines.
• Data Stewardship (25%)
• Support data stewardship practices by helping to document data ownership, data definitions, and usage standards to promote data quality, consistency, and accountability.
• Assist in monitoring data quality and integrity by identifying data issues, escalating discrepancies, and partnering with system owners to support remediation efforts.
• Partner with the Data Governance team to define and enforce BOSS data standards.

Lead Associate, Business Operations – Shared Services Data Analyst

• Working in a fast-paced, innovative, and change-oriented work environment
• Using programming skills to explore, examine and interpret large-scale data in various forms
• Determine the appropriate techniques to manipulate complex high-volume data, develop insights through analysis and modelling, evaluate business problems, and improve our analytical speed-to-insight
• Perform data mining and analyzing of structured and unstructured data associated with claims, policy, payment activities to solve complex business problems using advanced techniques and leveraging industry cutting-edge technology
• Focus on automation and utilizing technology to provide repeatable reporting solutions to promote self-service culture for business partners
• Building a strong network of peers and mentors
• Attending on-site technical and professional development classes
• Presenting accomplishments to leadership across the organization
• Participating in sponsored community service events

Data Analytics Co-Op

• Collect, organize, and maintain sustainability program data from online initiatives and engagement activities.
• Track participation, engagement, and learning outcomes related to sustainability programs for online students.
• Assist with creating surveys, forms, and assessment tools to gather feedback and measure program effectiveness.
• Analyze data and identify trends, opportunities, and areas for improvement.
• Develop dashboards, reports, infographics, and data visualizations that communicate program impact.
• Support the collection and analysis of data for annual sustainability reports and strategic planning initiatives.
• Research sustainability benchmarks, best practices, and emerging trends relevant to higher education and online engagement.
• Collaborate with other Eco Reps to evaluate the effectiveness of campaigns, events, workshops, and educational programs.
• Present findings and recommendations to the Office of Sustainability staff and student teams.
• Maintain accurate records and documentation of sustainability-related metrics and outcomes.
• Assist with measuring participation in sustainability challenges, online learning opportunities, and virtual engagement initiatives.
• Support data-informed decision-making by providing actionable insights and recommendations.
• Monitor engagement metrics for online sustainability programming, newsletters, social media campaigns, webinars, and virtual events.
• Analyze participation patterns among online students to identify opportunities for increased engagement.
• Evaluate the effectiveness of virtual sustainability education initiatives and recommend improvements.
• Assist in developing metrics that capture the impact of sustainability programs on online learners.
• Support virtual focus groups, surveys, and feedback collection efforts.
• Compile monthly and semester impact reports.
• Track sustainability engagement goals and key performance indicators (KPIs).
• Assist with data collection for STARS reporting and other institutional sustainability assessments.
• Create visual summaries and presentations that communicate results to campus stakeholders.
• Support the development of data-driven recommendations for future sustainability initiatives.

Online Data Analytics Eco Representative

• Work directly with Marketing, Sales, and CX leaders to diagnose business challenges, define analytical roadmaps, and drive growth strategies.
• Develop rigorous analyses, models, and frameworks to optimize customer acquisition, lifecycle engagement, and retention.
• Build scalable machine learning solutions (e.g., targeting, segmentation, uplift modeling, LTV prediction) that improve growth efficiency and ROI.
• Drive acquisition, retention, and monetization through data-driven experimentation and modeling.
• Translate complex data insights into clear, actionable recommendations that influence decision-making at all levels of the organization.
• Collaborate with engineering teams to productionize models and analytics pipelines with high reliability and performance.
• Familiar with state of art AI solutions in Data Science domain and mentor Jr. data scientists.
• Drive best practices in experimentation, measurement, and growth analytics across the company.

Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

• Acquire, integrate, and validate data from multiple internal and external sources.
• Analyze complex datasets to identify trends, patterns, and opportunities for improvement.
• Design, develop, and maintain dashboards, reports, and data visualization tools.
• Create reporting packages and provide ongoing performance reporting to leadership.
• Automate data collection, reporting, and analytic processes to improve efficiency and accuracy.
• Produce ad hoc analyses and reports supporting operational and strategic initiatives.
• Evaluate and improve data storage, extraction, and processing methodologies.
• Support analytics related to scheduling, registration, productivity, provider performance, and other healthcare operational metrics.
• Collaborate with leaders to establish, monitor, and evaluate Key Performance Indicators (KPIs).
• Provide data-driven recommendations to stakeholders and leadership teams.
• Connect operational metrics to financial and organizational performance outcomes.
• Identify new opportunities for process improvement and operational excellence.
• Develop and maintain key performance metrics and tracking tools.
• Build collaborative relationships with stakeholders to improve data accessibility and utilization.
• Participate in strategic and operational projects requiring analytical expertise.
• Serve as a key analytics resource for performance improvement initiatives.
• Manage multiple projects simultaneously while meeting deadlines and stakeholder expectations.
• Provide analytical support for business development and special projects.

• Design and implement analytical models and solutions for moderately to highly complex business problems.
• Develop dashboards, reports, and KPIs to support data-driven decision-making.
• Lead analytics projects end-to-end, ensuring timely delivery and successful deployment.
• Collaborate with business partners and product owners to identify opportunities and communicate actionable insights.
• Contribute to analytics methodologies, documentation, and reusable frameworks.
• Mentor junior analysts and promote best practices across the team.

Advanced Analytics Manager

• Develop and execute the analytics strategy for the People Relations & Enablement function
• Define, measure, and monitor key metrics that support enterprise decision-making and risk mitigation
• Design and deliver executive dashboards, scorecards, and reports that provide actionable insights
• Analyze people-related data to identify trends, emerging issues, organizational hotspots, and systemic risks
• Translate complex data into compelling narratives and recommendations for senior leaders and stakeholders
• Provide insight-driven guidance that helps leaders understand root causes and make informed decisions
• Partner with Technology, Workforce Analytics, Compliance, and Legal teams to ensure data integrity, governance, and confidentiality
• Establish data definitions, reporting standards, and governance processes that promote consistency and transparency
• Support automation initiatives and real-time reporting capabilities that enhance operational effectiveness
• Measure the impact of investigations, training initiatives, policy implementation, and resolution strategies
• Identify opportunities for early intervention and prevention by leveraging analytics to reduce recurring issues
• Create feedback loops that inform policy development, training strategies, and continuous improvement efforts
• Advance a proactive, data-informed People Relations & Enablement operating model focused on organizational health and trust.

People Relations & Enablement Analytics, Reporting Manager

• Perform advanced financial analysis and reporting to support strategic decision-making
• Develop and maintain sophisticated financial models for cash forecasting, capital planning, treasury management
• Conduct benchmarking, KPI analysis, and variance reporting to identify trends, risks, and opportunities
• Oversee budgeting processes, cost accounting, and productivity standards; provide recommendations for process improvements
• Mentor accounting staff, provide financial systems training, and support professional development within the finance team
• Present complex financial information and recommendations to senior leadership

Senior Financial Analyst – Cash Accounting, Analytics

• Define and execute the enterprise Data, Analytics, AI, and Automation strategy
• Develop and maintain a multi-year roadmap for data modernization
• Advise executive leadership on emerging technologies, AI trends, opportunities, and risks
• Manage enterprise data platform architecture, including the Enterprise Data Warehouse, Azure Data Lake
• Establish enterprise data governance, data quality, and master data management capabilities
• Develop enterprise analytics capabilities that improve decision-making
• Drive adoption of intelligent automation and AI capabilities to improve productivity
• Build, lead, and develop a high-performing organization

Senior Director, Enterprise Data, Analytics, AI & Automation

• Collaborate with cross-functional teams to define and measure key product metrics aligned with business objectives.
• Lead data science workstreams including predictive modeling, segmentation, and forecasting to drive product decisions and revenue impact.
• Evaluate and prototype AI-powered analytical solutions that support forecasting, product optimization, and operational efficiency.
• Utilize data analysis to uncover trends, patterns, and opportunities that influence product strategy and experience optimization.
• Translate business requirements into scalable analytical solutions and measurement frameworks.
• Develop dashboards and recurring analyses to monitor product performance and proactively surface opportunities for revenue and experience improvement.
• Present findings and recommendations to technical and non-technical audiences in a clear and compelling manner.
• Support data governance and ensure the accuracy, reliability, and consistency of analytics reporting.
• Partner with Product, Design, Engineering, and Marketing teams to support roadmap prioritization and business planning.

Manager, Global Product Analytics, Data Science

• Review industry literature and research publications and maintain a system to curate publications, competitive intelligence, and internal research/reports.
• Create landscape summaries on topics relevant to higher education and update with new data and publications on an ongoing basis.
• Use third-party platforms to extract and summarize market data on programs and populations.
• Support Product Marketing in providing data summaries for program reviews and investigating new programs or products.
• Conduct deep-dive ad hoc research on market and competitive trends.
• Build, maintain, and update data models of external data sources (e.g., IPEDS), using tools such as Microsoft Fabric/PowerBI.
• Create and maintain data Python data ingestion notebooks in BigQuery and Microsoft Fabric.
• Use existing data models to monitor and summarize internal performance trends across products, segments, and demographics.
• Build and enhance reports and dashboards according to feedback, insights, and institutional goals.
• Actively seek opportunities to improve and anticipate feedback on analytic projects and tools.
• Present analysis findings to diverse audiences in a variety of formats.
• Utilize project management software to keep track of multiple priorities and projects.
• Attendance, punctuality, and reliability are essential functions of this role.

Market Research Data Analyst

• Responsible for the generation and analysis of marketing data for the purpose of translating data into information that will be used to demonstrate insight that drives marketing performance and investment decisions.
• Builds and maintains dashboards and reporting frameworks that track marketing performance across marketing programming, including but not limited to pipeline contribution, conversion, and return on investment.
• Analyzes data across multiple systems (Customer Relationship Management or CRM), marketing automation, web analytics, and digital platforms, to identify patterns, trends, opportunities, and risks.
• Translates complex data into clear, concise insights and recommendations that influence marketing strategy and investment decisions.
• Partner with channel strategy and marketing operations to inform prioritization, campaign optimization, and performance tradeoffs.
• Develop and evolve measurement approaches including attribution, funnel analysis, and campaign performance frameworks.
• Ensure data quality, consistency, and alignment of key metrics across systems and stakeholders.
• Support planning and performance reviews (quarterly, annual) with data‑backed insights and recommendations.
• Deliver ad hoc and deep‑dive analyses to support campaigns, lifecycle programs, and go‑to‑market initiatives.
• Other duties as assigned.

Marketing Data Analyst II

• Assist with collecting, organizing, and validating sales and customer data from CRM and other business systems.
• Support the creation and maintenance of reports and dashboards to track sales performance, pipeline activity, and key business metrics.
• Analyze trends and identify opportunities to improve data quality, reporting accuracy, and operational efficiency.
• Prepare summaries and visualizations to support business reviews and leadership decision-making.
• Partner with Sales, Marketing, Customer Success, and Revenue Operations teams on ad hoc projects and analyses.
• Document processes and recommend improvements to reporting and data management practices.

Summer Intern – Sales Operations Data Analyst

• Collect, clean, and analyze data from multiple sources using tools like SQL, Excel, Python, or Tableau
• Identify patterns, trends, and correlations to support descriptive, diagnostic, predictive, and prescriptive analytics
• Assist with creation of branding, communication, and training materials
• Translate complex data findings into clear, concise, communications for diverse audiences
• Develop and maintain digital asset libraries (e.g., multimedia content, documents) for easy retrieval and reuse

Technical Communications, Data Analyst

• 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

• 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

• Construct, design, write and document complex programs using Business Intelligence Tools (e.g. Business Objects, SAS, SQL, Crystal Reports)
• Develop, analyze, report and interpret complex data for ongoing activities/projects
• Work collaboratively with customers to complete effective needs analyses
• Monitor and perform in-depth analysis of data for customers to determine areas of improvement
• Identify complex trends and make recommendations to business areas
• Communicate meaningful insights by creating charts and slide presentations
• Support and manage complex applications systems on many platforms
• Provide ongoing user support for ad hoc reporting, questions, queries, and problem support

Senior Healthcare Data Analyst, ACA, EDGE

• 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.

Data Analyst jobs in Kentucky

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Lead Associate, Business Operations – Shared Services Data Analyst

Data Analytics Co-Op

Online Data Analytics Eco Representative

Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

Data Analyst

Advanced Analytics Manager

People Relations & Enablement Analytics, Reporting Manager

Senior Financial Analyst – Cash Accounting, Analytics

Senior Director, Enterprise Data, Analytics, AI & Automation

Manager, Global Product Analytics, Data Science

Manager, Global Product Analytics, Data Science

Market Research Data Analyst

Marketing Data Analyst II

Summer Intern – Sales Operations Data Analyst

Technical Communications, Data Analyst

Manager, Data Analytics, Insights

Junior Data Analyst

Senior Healthcare Data Analyst, ACA, EDGE

Manager, Data Analytics and Insights