Top Senior Data & Analytics Jobs

Lead the design and evolution of an enterprise AWS data platform supporting analytics, reporting, operational decisions, and future AI initiatives. Build reliable batch and near-real-time pipelines, establish data architecture and governance standards, implement infrastructure as code and CI/CD, and develop governed data products. Provide hands-on technical leadership, architectural direction, mentoring, and cross-functional collaboration while balancing scalability, performance, reliability, security, and cost.

Designs, builds, operates, and modernizes enterprise data pipelines, integrations, and Microsoft Fabric platform capabilities. Develops Python, PySpark, SQL, and Delta Lake solutions; supports ERP, CRM, dealer, manufacturing, and SaaS integrations; and maintains legacy ETL, stored procedures, middleware, and linked-server processes. Ensures reliability through testing, validation, monitoring, reconciliation, incident response, documentation, and CI/CD practices. Collaborates across technical and business teams while providing technical guidance and supporting critical production issues.

Designs, develops, deploys, maintains, and optimizes ETL processes and cloud-based system integrations for healthcare data warehousing and business intelligence. Works with DHA and Cerner inpatient and outpatient data, develops database procedures, validates migrations, performs data mapping and modeling, and supports data science and machine learning teams. The role also documents processes, tunes performance, captures client requirements, and manages data transformation initiatives.

Develops business cases, financial and operational models, data models, executive decision packages, portfolio dashboards, and benefit-validation reporting for cross-functional transformation initiatives. Extracts and analyzes enterprise data using SQL, Python, spreadsheets, and visualization platforms; automates repeatable workflows; standardizes metrics; tracks value realization; and partners with Finance, IT, data engineering, and business leaders to support decisions and embed sustainable reporting processes.

Oversee the organization, production, quality, and timely delivery of client reports, pitchbooks, due diligence materials, regulatory reports, reconciliations, and valuation statements. Maintain reporting systems, identify process improvements, ensure compliance and service standards, escalate risks, and develop expertise in investment products and offerings to support clients and internal stakeholders.

Maintains and enhances reporting, dashboards, scorecards, KPIs, databases, and business intelligence tools for Customer Operations. Analyzes billing revenue, operational performance, financial information, regulatory metrics, and business trends. Supports forecasting, budgeting, strategic planning, data validation, leadership presentations, board reporting, and issue resolution in collaboration with business and IT stakeholders.

Leads end-to-end regulatory reporting for OCC, Federal Reserve, and other agencies; manages a team of data analysts; ensures data accuracy, governance, reconciliation, and compliance. Partners with technology, finance, risk, and compliance teams to build scalable pipelines and automation. Uses SQL, Python, Databricks, AI/ML, and process-mining tools to improve reporting workflows, data quality, audit readiness, and examiner response. Presents findings to senior leaders and regulators and oversees remediation efforts.

Manage and grow Ashby’s data analytics team while remaining hands-on with analytical work. The role includes hiring and coaching analysts, improving data practices, prioritizing requests, developing specialization, maintaining analytical quality, and guiding responsible AI adoption. The manager will work across raw and modeled data, dbt models, metric definitions, dashboards, and internal data products, partnering closely with business teams in a remote, high-growth B2B SaaS environment.

The Lead, Advanced Analytics, Acquisition will analyze data, define metrics, conduct A/B tests, and collaborate with teams to drive growth and insights.

Designs enterprise Power BI semantic models and executive dashboards, translating ambiguous business questions into KPIs and visual narratives. Integrates data from enterprise sources, improves data quality with engineering teams, and establishes governance for accurate, auditable reporting. Mentors BI professionals, defines modeling and metric standards, optimizes performance and scalability, and influences senior stakeholders through trusted insights.