Top Data & Analytics Jobs

Leads ERP data migration and master data governance for an IFS Cloud implementation. Responsibilities include extracting, profiling, cleansing, mapping, transforming, loading, and reconciling manufacturing, finance, supply chain, and transactional data. Builds Microsoft Fabric pipelines and Power BI models, establishes data quality standards, manages cutover readiness, supports integrations, and coaches business data owners. Requires hands-on ERP implementation experience, advanced SQL, and strong data engineering and governance capabilities.

Conduct management analysis and quality assurance testing for state eServices programs and systems. Develop QA test plans, investigate process improvement opportunities, collect and analyze data, prepare reports and recommendations, provide technical support, troubleshoot issues, and coordinate implementation. The role also supports tax-related compliance research, continuous improvement, metrics, policies, and operational documentation.

Build and scale data insights capabilities, write SQL queries in Snowflake, transform data with Python, and create dashboards in Qlik Sense and Tableau. Support data governance, preprocessing pipelines, predictive modeling, documentation, version control, and automated data workflows. Collaborate with Data Engineering teams to deliver real-time insights for robotics and supply chain automation projects.

Own the company-wide BI strategy, infrastructure, governance, dashboards, LookML models, forecasting, and analytics request process. Partner with executives, business owners, Data Engineering, Product, and Engineering to improve data reliability, translate business questions into recommendations, and surface trends and opportunities. The role requires SQL, BI tooling, and data warehouse expertise, with Python, predictive modeling, and statistical analysis preferred.

Leads the Data Engineering and Analytics team, managing people, technical strategy, intake prioritization, data pipelines, governed reporting, and stakeholder delivery. Oversees Python, SQL, dbt, Airflow, and BigQuery data products while guiding predictive analytics and machine-learning initiatives such as forecasting, recommendations, and segmentation. Establishes quality, reliability, governance, and development standards; mentors team members; supports debugging, process improvement, monthly reporting, invoices, and scorecards. The role also promotes responsible AI adoption and PHI-compliant data practices.

Provides institutional research and analytical support for distance education and resident academic programs. Designs and distributes surveys, analyzes quantitative and qualitative data, prepares course and program reports, coordinates research with academic leaders, supports review boards, maintains accreditation records, and contributes to annual assessment activities.

The Data and Analytics Manager partners with stakeholders to gather reporting requirements, build Power BI or similar dashboards, manage data quality and governance, and deliver actionable business insights. The role oversees data modeling, SQL queries, ETL/ELT collaboration, documentation, reporting intake, user training, and vendor coordination. It also supports data infrastructure improvements, ensures privacy and security compliance, and may mentor junior analysts.

Build and maintain scalable dbt-based data models and analytics-ready datasets for pharmacy benefit management and care navigation. Translate healthcare workflows into auditable data products, implement data quality testing and reconciliation, optimize warehouse performance, and establish documentation, lineage, governance, CI/CD, and observability practices. Collaborate with technical and business teams to support reporting, financial analysis, self-service BI, and future AI-enabled analytics capabilities.

Develop and administer Tableau dashboards, reports, and data integrations supporting enterprise reporting and Release Train Management. Maintain accurate Tableau views, track corrective actions, optimize system performance, and connect new and existing data sources, including JIRA. Produce integrated delivery schedule graphics for leadership briefings, guide RTM teams, and provide data-driven insights aligned with Agile and SAFe processes.

Lead complex customer analytics engagements, translating industrial business needs into scalable analytics architectures and solutions. Advise customers, drive product adoption, identify high-value use cases, mentor Analytics Engineers, resolve technical escalations, and influence product roadmaps. Apply expertise in industrial process data and sectors such as power, pharmaceuticals, and semiconductors. Collaborate with customers, partners, product teams, and account teams to deliver measurable business outcomes.