Top Data & Analytics Jobs

The Growth Engineer will design and optimize GTM systems to enhance revenue efficiency through data analysis, automation, and experimentation, collaborating with teams to convert ambiguous problems into structured processes.

Transform multi-source datasets into structured data, perform statistical analysis, build data models and visualizations, monitor KPIs, identify process improvements, and deliver actionable insights to cross-functional stakeholders. The role uses Tableau and related analytics tools to support product direction, operational efficiency, experimentation, and business growth.

The Senior Data Engineer will build data pipelines and infrastructure, modernize legacy systems, and ensure data reliability for analytics at ABCorp.

Leads enterprise data management strategy, governance, quality, reporting, workflow optimization, and operational risk initiatives in a regulated financial services environment. Partners with senior stakeholders to deliver cross-functional programs, dashboards, controls, analytics, and process improvements. Oversees AI and GenAI applications for reporting, documentation, exception management, and process mining while ensuring privacy, model risk, responsible AI, and regulatory compliance.

Designs, develops, tests, and maintains BI reports, dashboards, data models, data warehouses, and ETL processes using Microsoft BI tools. The role analyzes source data, resolves data integrity issues, supports stakeholders and end users, implements data protection solutions, and maintains documentation. This is a fully remote position with approved-location restrictions.

Build and own data pipelines, models, quality checks, dashboards, and visualizations for manufacturing and test data. Partner with optical, manufacturing, and quality engineers to create reliable data solutions, improve pipeline performance and cost, and support engineering and leadership decisions. Establish software engineering practices for data systems, guide technical direction across distributed sites, and mentor other engineers.

Designs and maintains BI solutions, writes optimized SQL and stored procedures, and builds AI-assisted reports and dashboards using Power BI, Tableau, and Excel. Translates business questions into actionable insights for Sales and cross-functional teams, develops data models, supports reporting migrations, and ensures data quality, governance, documentation, and consistency across platforms.

Analyze fundraising data by building reports, dashboards, data pulls, forecasts, and operational metrics. Clean and validate Salesforce and related data, identify quality issues, document standards, and support finance reconciliation. Build lightweight tools and workflows using spreadsheets and Airtable, ensuring important data flows into Salesforce. Partner cross-functionally on reporting architecture and coach fundraisers on effective system use.

Analyze large-scale electronic health record and real-world data using SQL, R, and Python. Scope requests, produce research studies and results, write Databricks SQL regex queries, support customers, investigate data sources, collaborate on peer-reviewed publications, and create enablement materials for researchers.

Analyze supply chain and operations data, build dashboards and decision-support tools, support predictive and prescriptive analytics, gather data requirements, document methodologies, and complete an end-to-end summer project. The intern will work with SQL, Python, Excel, cloud data sources, decision intelligence platforms, and agile sprint practices while collaborating with planners, operators, managers, and business stakeholders.