Top Data & Analytics Jobs

Design, build, and deploy Snowflake-based Data Cloud solutions on Azure. Act as Snowflake SME to architect data lakes/warehouses, develop ETL/ELT pipelines (batch and streaming), implement data quality, performance tuning, DBT models, and support deployments while working closely with clients and project management.

The Sr. Data Engineer will build and manage data pipelines for large datasets, collaborate with teams, and leverage cloud technologies for data processing.

The Business Systems Analyst collaborates with stakeholders and technical teams to gather requirements, improve processes, validate solutions, and support ERP systems, specifically Microsoft Dynamics 365 Finance and Operations and Business Central.

Lead Data Engineer responsible for defining architecture, engineering standards, and best practices for the enterprise data platform, collaborating with distributed teams for modernization and scalability.

Assist in collecting, cleansing, and analyzing datasets to produce actionable insights, reports, and dashboards for informed business decisions.

Analyzes business change needs, gathers and validates user requirements, translates business needs into functional specifications, and facilitates stakeholder and design sessions. Creates process maps, use cases, wireframes, data migration rules, business rules, and requirements traceability documentation. Supports business process redesign, data-entry component definition, solution analysis, and multiple moderately complex projects while collaborating with customers, users, technical teams, and other stakeholders.

Administer, maintain, and optimize SQL and NoSQL database environments; apply data warehousing concepts; perform data management and maintenance using SQL, Python, and Apache Spark; support cloud database infrastructure with Git, AWS, or Azure; and provide database support for Tableau and Power BI reporting.

Analyzes multi-channel marketing performance, conversion funnels, landing pages, and A/B tests to identify trends, performance drivers, and optimization opportunities. Builds recurring reports and executive-ready insights using large datasets, SQL, and advanced Excel. Partners with marketing, analytics, data, and operations teams to guide strategic decisions, improve data quality, and connect marketing metrics to revenue, unit economics, and company KPIs.

Lead scientific data architecture for biopharmaceutical client platforms. Develop information models, scalable relational and NoSQL integration strategies, analytics environments, ontologies, and taxonomies. Translate architectures for technical and business audiences, abstract common solutions across client environments, and serve as a subject matter expert and thought leader for scientific data modeling methodologies.

Lead a large-scale Oracle Cloud Infrastructure data platform migration through architecture assessment, target-state design, migration planning, and hands-on technical execution. Optimize Oracle databases, SQL, ETL/ELT pipelines, synchronization, and cloud infrastructure. Establish monitoring, observability, automation, coding standards, and deployment practices while leading technical triage and collaborating with engineering, infrastructure, architecture, and business stakeholders.