Top Data & Analytics Jobs

Develops, maintains, and analyzes manufacturing reports, ensuring timely delivery, accuracy, and data integrity. Monitors existing reports for data changes and discrepancies, translates complex information into user-friendly insights, and communicates key takeaways to internal customers and management. The role requires expertise with ERP, TMS, inventory systems, Excel, and Power BI, along with manufacturing, supply chain, or analytical experience. Work occurs in warehouse and office environments with frequent lifting and standing.

Conduct competitive intelligence for life insurance and annuity markets by monitoring competitors, analyzing products, pricing, filings, market trends, sales results, and strategic developments. Create competitor profiles, battlecards, comparison tools, executive briefings, and recurring reports. Translate complex research into actionable recommendations for Product, Pricing, Sales, Marketing, Distribution, and leadership teams, while improving reporting and monitoring through automation and approved AI tools.

Leads insights, analytics, forecasting, and AI-enabled decision support for strategic and operational planning. Translates complex data into actionable recommendations, develops forecasts and performance metrics, evaluates emerging digital tools, promotes responsible AI and data governance, and partners with senior stakeholders across functions. The role also manages external partners, coaches teams, and drives adoption of scalable analytical practices and continuous improvement.

Builds data models, dashboards, metrics, automated Python and SQL pipelines, lightweight analytics applications, and machine learning solutions for Safety, Quality, Mission Assurance, and Manufacturing Operations. Partners with business and technical stakeholders to gather requirements, deliver self-service reporting, support predictive insights, and lead cross-functional data modeling while maintaining data quality and documentation standards.

Design, build, test, and maintain cloud-based data pipelines using Azure, Databricks, Cosmos DB, Delta Lake, and Spark. Develop ETL frameworks, data quality validations, data warehousing solutions, and high-throughput libraries. Troubleshoot pipelines and DevOps deployments, analyze semi-structured data, and contribute across the software development lifecycle within an agile team. The role requires onsite work four days weekly and supports financial-industry products.

Provides strategic leadership for insights, analytics, forecasting, and AI-enabled decision support. Develops performance metrics, dashboards, forecasting models, scenarios, and actionable recommendations for senior stakeholders. Evaluates and scales digital and AI tools, ensures responsible data governance, coaches teams, manages external partners, and drives cross-functional adoption of evidence-based decision-making and continuous improvement.

Lead Customer Master Data Management implementations using Informatica IDMC and Informatica MDM. Drive data management, quality, integration, governance, stakeholder engagement, and project delivery. Apply extensive data engineering experience and support client engagements, with consulting or professional services experience preferred.

The Operations Data Analyst collects and analyzes operational and financial data, develops dashboards and performance reports, tracks KPIs, identifies trends and root causes, and recommends corrective actions. The role partners with operations, accounting, and finance teams to improve data accuracy and processes, presents findings to leadership, and trains employees on reporting tools and procedures.

Supports data cleansing, quality checks, reporting, dashboards, data-source and metadata maintenance, data integrity, and normalization. Translates reporting requirements and analytical results for nontechnical audiences, handles sensitive information securely, and assists end users with reports and dashboards. Works under senior analyst guidance in a federal environment and must be able to obtain and maintain a Public Trust clearance.

Coordinates quality improvement initiatives, data abstraction, performance measurement, and analysis. Identifies improvement opportunities through performance indicator analysis, develops and implements performance improvement plans, supports education, and evaluates the effectiveness of improvement activities. Also performs related duties and prioritizes assignments to facilitate quality initiatives.