Top Data & Analytics Jobs

Develop data pipelines and curated data assets for scientific and business use cases. Integrate, normalize, model, document, and quality-check data for analytics, machine learning, retrieval-augmented generation, and knowledge graph publication. Monitor pipeline performance, troubleshoot issues, apply governance and compliance standards, and collaborate with scientific, business, engineering, and platform teams.

Design and modernize enterprise data architecture for a federal compliance system. Develop relational data models, audit-ready data structures, integrations, and workflow-aligned schemas using Azure SQL and T-SQL. Optimize queries and cloud database performance, support testing and secure implementation, and contribute to Agile delivery, requirements, documentation, Section 508 compliance, and Azure DevOps artifacts. Guide developers, collaborate with government stakeholders, and support training and knowledge transfer.

Analyze sales pipelines, conversion trends, territory performance, order volume, reimbursement opportunities, and account health. Develop dashboards, standardized and ad-hoc reports, KPIs, workflow documentation, and data-driven improvement strategies using SQL, Tableau, Power BI, Looker, and advanced Excel. Perform root cause analysis, quality audits, UAT, and stakeholder training while partnering with Sales and Commercial Operations.

Develop statistical workforce forecasts for Medicaid, federal policy, service demand, and contact center performance. Analyze historical trends, seasonality, utilization, and legislation to improve accuracy. Partner with operations, clients, and workforce teams to align staffing plans, monitor forecast errors, and optimize service levels. Build dashboards and prepare actionable reports and recommendations for management.

Manages client data stewardship and quality across CHANEL’s U.S. divisions. Defines data-quality frameworks, naming conventions, monitoring processes, validation standards, and database hygiene practices. Identifies root causes, resolves data issues, consolidates sensitive profiles, and partners with technology teams on automation and sustainable improvements. Coordinates data-quality initiatives from discovery through testing and resolution while communicating progress to analysts and business stakeholders. Supports the Client Data roadmap and serves as a subject-matter expert on client database rules.

Analyze stakeholder and project requirements, translate them into functional features, partner with Product, Engineering, and QA, define acceptance criteria and test cases, identify bugs, support resolution, perform functional testing, and provide product sign-off. The role also involves documenting use cases, communicating decisions, and developing data-product solutions using SQL and the company’s data stack.

Supports Program Manager clients by managing CRM tracking, documentation, reporting, client metrics, and data analytics processes. Develops reporting tools, evaluates program performance, monitors risk issues, prepares presentations, trains Client Services staff, supports claims payments, and leads cross-functional projects. Requires strong analytical, quantitative, communication, organizational, and Microsoft Office skills, along with CRM and database experience.

Build and maintain scalable data models, semantic layers, and data marts using dbt and modern data stack technologies. Partner with engineers, analysts, and stakeholders to translate business logic into reusable transformations supporting dashboards, KPIs, and advanced analytics. Ensure data quality, governance, testing, documentation, and performance across sales, inventory, loyalty, merchandising, supply chain, marketing, and e-commerce data domains.

Lead science data and knowledge management at Audubon, enhancing data accessibility and usage across various scientific programs while collaborating with IT and Conservation Teams.

Own the organization’s data and analytics foundation by integrating multi-source data, defining trusted metrics, resolving data quality issues, and building executive dashboards in Power BI and Claude. Partner with leadership and data architecture teams on predictive models, forecasting, governance, automation, and self-service analytics. Translate business needs into scalable data models and reporting solutions while serving as a cross-functional analytics thought leader.