Top Data & Analytics Jobs

Designs, builds, and maintains scalable ETL and data processing pipelines supporting analytics, forecasting, risk, and customer insights. Leads complex SQL development, data modeling, governance, quality, lineage, security, and compliance. Partners with engineering, finance, sales, compliance, product, analysts, and data scientists to translate requirements into reliable workflows. Evaluates emerging technologies, leads proof-of-concepts, and develops automated solutions using Python, Spark, Databricks, cloud platforms, orchestration tools, and modern data warehouses.

Own core SaaS business metrics across Finance and Sales, including revenue, bookings, pipeline, conversion, retention, and margins. Build reliable metric definitions, financial and pipeline models, recurring reports, and production-quality SQL and Python analyses. Partner with leadership on forecasting, budgeting, board reporting, sales performance, pricing, segmentation, capacity planning, and go-to-market experiments. Translate trends and anomalies into actionable recommendations.

Designs and maintains ETL pipelines for IRS data warehousing using SQL, Python, shell scripting, Sybase IQ, and PostgreSQL. Applies statistical and machine learning methods to clean, analyze, and model large datasets. Responsibilities include data quality, pipeline optimization, troubleshooting, documentation, metadata management, stakeholder collaboration, and deployment in Linux, Windows, OpenShift, and Kubernetes environments.

Administer and optimize Azure SQL and Snowflake environments, including database monitoring, query tuning, indexing, ADF pipelines, cost optimization, security, backup, and disaster recovery. Troubleshoot complex issues, document configurations and performance metrics, and collaborate with application developers, BI teams, and infrastructure engineers to deliver scalable data solutions.

Designs, develops, maintains, and improves software applications and business processes. Responsibilities include full lifecycle development, troubleshooting, performance and reliability improvements, CI/CD collaboration, requirements analysis, technology research, package maintenance, portfolio planning, and mentoring junior engineers. The role requires independent work, cross-functional collaboration, and strong software development, documentation, and problem-solving skills.

Administers and supports Oracle databases in AWS and GovCloud environments. Responsibilities include user and permission management, storage monitoring, maintenance, backup and recovery, performance monitoring, troubleshooting, query optimization, security controls, documentation, and collaboration with senior technical staff. The role requires active TS/SCI clearance and on-site work at Patrick Space Force Base.

Supports recurring and ad hoc reporting by running SQL queries, preparing and validating data, maintaining dashboards, and performing data quality checks. Uses Excel and Power BI to analyze trends, explain variances, and refresh reporting outputs. Documents requirements, researches client questions, resolves inconsistencies, and communicates findings clearly to internal and external stakeholders while working under senior guidance.

Analyzes customer loyalty data to generate actionable insights, recommendations, visualizations, and narratives for clients. Builds audience lists, applies segmentation and statistical modeling techniques, develops test plans, and collaborates with CRM, Data Engineering, Business Intelligence, Strategy, and Client Services teams. The role is client-facing and manages request prioritization while supporting loyalty marketing initiatives and measurable business outcomes.

Designs and maintains CORE’s enterprise analytics data platform, including dimensional data warehouses, ETL/ELT pipelines, semantic models, and governed datasets. Integrates clinical, financial, workforce, donor, and operational data while ensuring platform security, reliability, performance, quality, lineage, documentation, and monitoring. Supports Power BI, advanced analytics, and responsible AI initiatives, collaborates with technical and business stakeholders, and translates requirements into sustainable production solutions.

Develops business intelligence solutions, dashboards, reports, visualizations, automated reporting, and ad hoc analyses. Builds statistical, descriptive, and predictive models using machine learning and data mining techniques to generate actionable insights for financial business decisions. Ensures model documentation, reproducibility, validation, monitoring, data quality, and regulatory compliance. Collaborates with stakeholders, data scientists, engineers, and model risk teams while managing projects and communicating findings to business leaders.