Top Data & Analytics Jobs

The Director of Data & Digital Enablement at Ipsen leads the data and digital strategy, manages cloud data platforms, and collaborates across departments to optimize data architecture and solutions.

Designs, develops, and maintains BI reports, dashboards, and visualizations (primarily Tableau) using SQL and relational databases. Partners with stakeholders to gather requirements, build data models, validate data accuracy, and deliver KPIs. Supports integrations, troubleshooting, and evaluation of AI-enabled analytics and automation solutions.

Analyze customer and caregiver data to identify workflow improvements, build dashboards and visualizations, support Customer Success with QBRs and presentations, translate findings into actionable recommendations, and create scalable data processes while advising Product and Engineering.

Own end-to-end data migrations from messy legacy municipal systems into GovWell: map and ingest data, validate and reconcile with SQL/Python, lead technical onboarding calls with government staff, ensure production data quality, and iterate on tools and playbooks with Product and Engineering.

Lead architecture, implementation, and optimization of scalable data platforms, ETL/ELT pipelines, and data governance. Ensure security and compliance, mentor junior engineers, drive CI/CD and IaC for data workflows, and collaborate with stakeholders to deliver actionable analytics and reporting.

Lead design and execution of the internal analytics stack: scale the data warehouse, build dbt ETL pipelines, model data for cross-functional reporting, create dashboards and forecasts, implement data quality checks, and partner with Product, Sales, Finance, and Operations to define KPIs and automate analytics workflows.

Design, deploy, and administer Hadoop/Big Data platforms. Install, upgrade, patch, configure, and support Hadoop ecosystem components. Manage HDFS security and ACLs, backup and disaster recovery. Work with business teams to gather requirements, write technical documentation, and manage priorities and operational support.

Perform quantitative and unstructured data analysis, develop data-gathering applications, create SQL queries and visualizations, document business and functional requirements, establish KPIs, optimize inventory and supply metrics, and support process improvement and auditing activities.

Design, develop and implement test data masking and subsetting solutions using IBM Optim. Gather requirements from application and testing SMEs, create automation for masking processes, collaborate with DBAs, data modelers and QA, and support existing masking artifacts and processes.

Lead enterprise data integration, standardization, and reporting architecture. Onboard legacy sources (Jack Henry/jhaKnow) into Snowflake and governed reporting, drive data quality, reconciliation, and mapping between banking platforms, enable trusted datasets for analytics and AI, and govern reporting standards across Technology, Finance, Risk, and business stakeholders.