Top Data & Analytics Jobs

Supports competitor analysis for Commercial General Liability, Property, and Auto insurance lines. Researches competitor rate filings, updates competitor databases, maintains Tableau dashboards, and modifies SQL code to generate analysis tables. The intern also participates in special projects and analyzes policy coverages while delivering accurate, efficient work.

Develops and supports ETL workflows, enterprise data warehouses, data marts, and automated data pipelines. Uses Informatica, PL/SQL, and scripting to move data between on-premises systems, Snowflake, Salesforce, and other platforms. Participates in technical design, programming, testing, standards, change control, and 24-hour on-call support. The role requires four days onsite in Lansing, Michigan and may involve ADP I or II clearance and U.S. citizenship.

Supports Workday Adaptive Planning and One Model HR analytics capabilities. Develops workforce data models, transforms data from HCM, payroll, and workforce systems, builds reporting and automation solutions, validates data quality, performs reconciliation and root-cause analysis, and supports HR data governance, privacy, and access controls. Partners with HR, Finance, Operations, and IT stakeholders to translate business needs into scalable reporting and analytics solutions.

Designs and builds ETL/ELT pipelines and data architectures across hybrid big-data and traditional database environments. Develops dimensional and normalized data models, ingests structured and unstructured sources, maintains data quality and security, troubleshoots pipeline issues, and delivers analytical reports and dashboards using Cognos and Tableau. Collaborates in agile teams, manages change requests, audits data integrity, and applies testing, documentation, and development best practices.

Transforms complex workforce and operational data into actionable insights through reports, dashboards, data models, forecasting, and performance analytics. Partners with stakeholders to define requirements, improve data quality, resolve reporting issues, support compliance, and guide business decisions. Leads complex analytical initiatives, establishes reporting standards, mentors analysts, documents processes, and develops scalable automated solutions for workforce planning, capacity, scheduling, and operational performance.

Supports data integration development and validation by analyzing ETL processes, verifying data integrity, testing integrations, diagnosing defects, and aligning business requirements with technical solutions. Collaborates with integration developers using Agile methods, follows data security standards for personally identifiable information, and participates in requirements reviews and project planning.

Collects, organizes, validates, analyzes, and presents departmental data to support administrators and inform recommendations. Responsibilities include preparing reports, identifying trends, resolving data discrepancies, coordinating meetings, handling special projects, training staff, and providing administrative and operational support for building functions, purchasing, scheduling, and daily department activities.

Lead enterprise Power BI and Microsoft Fabric analytics initiatives from strategy through implementation. Responsibilities include designing semantic models, DAX, SQL queries, dashboards, row-level security, dataflows, pipelines, Lakehouse and Data Warehouse solutions, Spark notebooks, deployment pipelines, workspace governance, and data governance. The role partners with senior stakeholders, standardizes KPIs, enables self-service analytics, and supports analytics modernization in regulated industries.

Leads global master data quality and governance, manages onshore and offshore teams, and develops data quality standards, playbooks, dashboards, validation rules, and automated monitoring. Collaborates with business, IT, finance, sales, operations, and customer service stakeholders to resolve root causes, improve data integrity, support reporting, and maintain master data across enterprise systems. Serves as the organization’s data quality subject matter expert.

Designs, builds, and optimizes cloud data solutions using Microsoft Fabric and Azure. Develops data pipelines, Lakehouse architectures, ELT/ETL processes, data models, semantic models, and Power BI reporting. Partners with stakeholders to define requirements and technical designs, supports platform migrations, and implements data quality, governance, security, and monitoring practices. The role also contributes to AI and machine learning data initiatives and requires strong SQL, Python, PySpark, and modern cloud data engineering expertise.