Top Senior Analysis Reporting Jobs

The Senior Data Analyst will own data models and drive analytical initiatives, ensuring data quality and reliability while providing insights to stakeholders. Responsibilities include managing dashboards and supporting the team with analytics.

As a Senior Product Data Analyst, you will analyze payment data, define metrics, design experiments, and provide insights to enhance product decisions.

Leads market research, sector intelligence, investment analysis, thought leadership, and client-facing content for institutional advisory, digital infrastructure, and hospitality businesses. Uses AI, advanced research tools, and analytics to identify market trends, investment opportunities, risks, and actionable insights. Partners with senior leaders, investment professionals, marketing, and business development teams on presentations, pitches, strategic initiatives, and client deliverables.

Leads decision intelligence delivery for Sales, Marketing, and Internal Communications by managing stakeholder relationships, dashboard and reporting development, delivery roadmaps, budgets, resources, and adoption. Provides hands-on dashboard design guidance focused on usability, visual clarity, and user experience while coordinating cross-functional delivery teams and removing execution blockers.

Leads PMO analytics and reporting by developing Power BI dashboards, integrating SAP data, validating KPIs, automating workflows, and analyzing project and financial performance. Creates executive presentations and portfolio reviews, communicates risks and trends, supports SOX reporting controls, and partners with Project, PMO, Finance, and technology teams to resolve data issues and improve decision support.

Leads customer adoption forecasting and strategic planning across Customer Success. Develops predictive models, adoption projections, scenario analyses, dashboards, KPIs, and executive insights to identify risks, improve product adoption, allocate resources, and connect customer lifecycle trends to retention and growth. Partners cross-functionally with Customer Success, Product, Data Science, Business Operations, Sales, and Revenue teams to establish forecasting standards and drive data-informed decisions.

Lead discovery and requirements gathering for credit union data and reporting initiatives. Map core banking and ancillary system data, define regulatory reporting logic and controls, specify executive dashboards, validate outputs, and drive adoption. Partner with credit union stakeholders and engineers to deliver data products addressing member growth, lending, deposits, risk, compliance, and marketing performance. Contribute domain expertise to reusable use cases, demonstrations, and prospect conversations.

Develops and maintains data-driven reporting solutions and client-facing presentation decks. Translates business and clinical reporting needs into requirements, collaborates with technical and data teams, builds reusable templates, analyzes complex healthcare metrics, validates outputs, and manages solutions through design, testing, implementation, and maintenance. Provides consultative support, presents findings to stakeholders, mentors colleagues, and uses databases, statistical tools, and reporting applications to support business decisions.

Drives KPI reporting and business intelligence by collecting, analyzing, and interpreting complex data. Builds Tableau dashboards, scorecards, forecasts, trend reports, and executive presentations using Python and other tools. Automates reporting, improves data quality and reporting processes, validates data integrity, investigates metric fluctuations, and communicates findings to leadership and cross-functional partners. Develops standardized analytical tools, work plans, and reporting procedures to support operational excellence and decision-making.

Leads organization-wide data management, reporting, compliance tracking, data quality, impact measurement, and technology initiative coordination. The role establishes data standards, dashboards, reporting processes, compliance calendars, and corrective actions; coordinates staff and consultants during system evaluation and implementation; translates organizational needs into practical tools and workflows; and trains teams on data quality and reporting practices.

Develops standardized business metrics, conducts customer and competitive analyses, forecasts key performance indicators, and delivers actionable insights to improve engagement, retention, churn, and overall company performance. Partners with Product, Marketing, Engineering, Data Science, and Data Engineering teams, supports strategic initiatives, implements analytical tools, improves intelligence-gathering processes, and presents findings to executive stakeholders.