Top Data & Analytics Jobs

Leads and builds Instructure’s decision science function, including hiring, team development, roadmap ownership, experimentation, causal and predictive modeling, executive insights, and data literacy. Partners with product, engineering, marketing, finance, and executives to guide product, pricing, retention, go-to-market, and operational decisions. Establishes analytical standards, supports data infrastructure, and ensures ethical, privacy-conscious use of student data.

Analyzes complex data to identify trends, challenges, and opportunities supporting tactical and strategic business decisions. Develops data collection systems, performs statistical analysis, creates reports and dashboards, and delivers end-to-end analytic solutions. Collaborates with business and technical teams to understand objectives, improve data quality, and provide actionable insights using business intelligence tools, databases, reporting packages, and data modeling techniques.

The Relationship Manager serves UHNW clients, enhancing client satisfaction, managing operations, and implementing advanced planning techniques. They aim to drive retention and growth in the Wealth Management Team by fostering client relationships and optimizing services.

Leads teams delivering IT solutions and manages architecture, systems analysis, development, integration, deployment, maintenance, budgets, vendors, and technical support. Assesses business and client requirements, develops technology plans, ensures architectural compliance, resolves technical issues, coordinates software and hardware implementations, monitors performance, and manages training. Supervises staff, oversees hiring and performance management, negotiates contracts, and partners with business units on technology strategy and investments.

Designs and builds scalable data platforms and pipelines for scientific, clinical, manufacturing, and process-engineering data. Responsibilities include developing batch and streaming ETL/ELT systems, integrating Databricks, Snowflake, cloud platforms, MES, SCADA, and laboratory systems, and enforcing governance and GxP compliance. The role provides hands-on technical leadership, establishes data engineering standards, and collaborates with scientists, process engineers, and platform teams. It requires three days onsite weekly in Indianapolis and unrestricted U.S. work authorization.

Own the company’s data platform architecture, reliability, governance, and roadmap. Lead a team while remaining hands-on with complex designs and queries. Drive tooling decisions, data modeling, orchestration, observability, identity resolution, canonical data models, and AI-ready data foundations. Ensure data freshness, correctness, lineage, access control, PII handling, and auditability while partnering with engineering, marketing, sales, and legal operations.

Establish and develop a FinOps practice focused on IT and cloud cost analytics. Build dashboards, analyze infrastructure spending, identify savings opportunities, evaluate configurations and vendor contracts, forecast expenditures, and track efficiency KPIs. The role collaborates with engineering, operations, and finance teams to promote cost awareness and support leadership budget decisions. It also includes emergency response assignments, non-business-hours availability during emergencies, and travel within the company service territory.

Manage and support PostgreSQL and MySQL databases in a large, high-transaction environment. Own incidents and service requests, meet SLAs, review backups and monitoring reports, respond to alerts, troubleshoot performance issues, and maintain high availability, partitioning, security, and recovery processes. Improve database provisioning automation, monitoring, and alerting while collaborating with engineering teams on recurring issues. The role is hybrid in the Atlanta area.

Develops and maintains Power BI dashboards integrating CMMS and other systems through SQL and APIs. Translates operational and maintenance data into actionable insights for asset reliability, maintenance optimization, compliance, safety, costs, and resource planning. Responsibilities include requirements gathering, application design and integration, testing, training, system enhancements, risk analysis, database management, prototypes, and application lifecycle planning. Requires work across office, plant, and remote sites, including on-call responses and occasional hazardous physical conditions.

Administers and supports Azure data platforms, troubleshooting databases, ETL pipelines, large datasets, data-quality issues, and performance bottlenecks. Develops and supports data workflows using Python, Databricks, PySpark, T-SQL, and related Azure technologies. Responsibilities include query optimization, stored procedures, indexing, root-cause analysis, incident ownership, stakeholder communication, production support, and technical coaching.