Top Data & Analytics Jobs

Supports Navy training readiness analysis, data validation, dashboard and report development, performance metrics, data migration, process improvement, training coordination, and documentation. Uses reporting and visualization tools to support FTM and FLTMPS initiatives within the Jupiter data environment. Collaborates with government stakeholders and contractor personnel while maintaining data governance and security procedures.

Supports the development and enhancement of data pipelines using SQL, Python, and cloud technologies. Analyzes data issues, performs quality checks, troubleshoots problems, documents solutions, and collaborates with engineering and business teams to deliver reliable data for analytics and reporting.

Leads enterprise data engineering strategy, architecture, and implementation for complex banking technology initiatives. Provides technical direction, designs scalable and secure data platforms, oversees coding and deployment, advances governance and metadata management, manages technology risks, and mentors engineering teams. Partners with architects, technology groups, and executives to deliver high-impact solutions using cloud data platforms, automation, modern data architectures, and emerging AI technologies.

Leads business data analysis and design, translating requirements into data maps, governance practices, metadata, lineage, and solution designs. Partners with business and technology teams on data ingestion, curation, warehousing, integration, security, testing, release management, and regulatory compliance. Provides subject matter expertise, conducts impact analysis, supports data architecture reviews, manages data dictionaries, and guides enterprise data initiatives. Mentors colleagues and promotes effective data management, risk controls, and cross-functional collaboration.

Lead and mentor a product analytics team that diagnoses product performance, evaluates launches, defines trusted KPIs, and drives strategic decisions. Oversee rigorous experimentation, causal inference, cohort analysis, metric governance, and telemetry standards. Partner with Product, Engineering, Marketing, Growth, Design, and Finance leaders to translate analysis into recommendations. Promote AI-native workflows using tools such as Claude Code while ensuring analytical quality, code validation, and clear executive communication.

Administer and maintain enterprise database systems across Oracle, SQL Server, PostgreSQL, and MySQL platforms. Responsibilities include installation, configuration, upgrades, migrations, security, patching, backup and recovery, high availability, disaster recovery, automation, virtualization, troubleshooting, and performance support. The role requires collaboration with DBAs and stakeholders, on-call support, documentation, and compliance with NASA Public Trust requirements.

Administer and maintain enterprise database systems supporting NASA applications across SQL Server, Oracle, PostgreSQL, and MySQL. Responsibilities include installation, configuration, upgrades, migrations, security, patching, backups, recovery, high availability, disaster recovery, replication, automation, troubleshooting, and performance support. The role requires collaboration with DBAs and stakeholders, on-call availability, SLA responsiveness, documentation, and experience with Linux, Windows, VMware, network storage, and enterprise backup solutions.

The Business Analyst analyzes operational and financial data, documents business and technical requirements, models processes, and recommends process or technology solutions. The role bridges aviation leadership, sales, supply chain, finance, operations, and IT; supports implementation, testing, UAT, stakeholder communication, training, KPI monitoring, and continuous improvement. The position requires at least three years of relevant Business Analyst experience and up to 25% travel for site visits.

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).

Conducts research, data analysis, interviews, and reporting to identify eCommerce site performance and customer experience improvements. Manages data and reporting requests, prioritizes work by business impact, defines KPIs with stakeholders, translates business needs into documentation and deliverables, and presents findings to management. Requires SQL, data analysis, eCommerce experience, cross-functional collaboration, and strong communication skills.

Builds data ingestion, integration, transformation, modeling, and quality frameworks for DHS financial management programs. The role uses SQL, Python, R, PySpark, and Databricks to analyze large datasets, develop predictive and machine learning models, support data governance, and generate decision-making insights. Responsibilities also include client meetings, documentation, presentations, client service, and business development support.

Analyzes and transforms data to create Tableau dashboards, reporting tools, and business intelligence solutions. Leads data-cleaning scripts using Databricks, SQL, and Python; maintains analytics solutions; identifies workflow automation opportunities; and translates client needs into scalable analytics and data science use cases. The role supports federal government clients, consulting delivery, business development, and stakeholder presentations.

Own end-to-end production data platforms, writing Python and SQL, designing AWS pipelines, modeling analytics data, and implementing quality and reconciliation controls. Make architecture decisions independently, ensure correctness and auditability, and use AI coding tools effectively. The role also supports applied AI initiatives including entity resolution, LLM-assisted analytics, embeddings, and anomaly scoring.

Develop and execute revenue growth analyses covering pricing, promotions, price-pack architecture, product mix, and trade terms. Identify revenue and profit opportunities using shopper, customer, market, competitive, and promotional insights. Partner with Sales, Marketing, Finance, and Supply Chain on commercial planning, pricing cycles, scenario modeling, and promotional ROI. Scale analytical frameworks internationally and support the evolution of RGM tools, operating models, and decision-making routines.