Top Data & Analytics Jobs

Manages enterprise master data creation and change requests across global organizations. Creates and maintains customer, vendor, material, grade, and service master data in SAP, performs data loads and validation, resolves defects, coordinates with cross-functional teams, and ensures data accuracy, governance, SOX, ITAR, audit, and service-level compliance.

Provides strategic leadership for analytical operations, finance support, HCC, and project management teams. Oversees data warehousing, database administration, data marts, SQL development, workflow and application design, reporting automation, dashboards, hospital contract modeling, and financial analysis. Manages staff performance, improves operational processes, leads special projects, and develops tools that support executive decision-making and organizational efficiency.

Leads enterprise data architecture, systems integration, governance, reporting, and analytics modernization. Designs relational databases, automated imports, ETL processes, validation routines, Power BI models, and data standards. Supervises data staff, supports compliance and executive reporting, manages documentation and data security, partners with IT and external vendors, and improves interoperability, reliability, and operational visibility across enterprise systems.

Build and maintain FinOps data pipelines, BigQuery and dbt models, cost attribution systems, forecasting and anomaly detection models, and cost-versus-revenue analytics. Identify and implement AWS and GCP savings opportunities, automate governance with Python, Terraform, and Lambda, and partner with Engineering, Finance, Product, and leadership on cloud costs, forecasting, reporting, and architecture decisions.

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.

Analyzes complex business and system data, writes queries and reports, maintains and monitors applications, troubleshoots issues, and identifies process improvements. Partners with departments and management to evaluate technology needs, implement solutions, document procedures, and lead cross-functional projects. Communicates findings and project status while coordinating priorities, system updates, automation, and core banking software changes.

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.