Top Senior Analysis Reporting Jobs in Detroit, MI

Develop and support IBM Cognos enterprise reporting solutions, including framework models, complex reports, dashboards, scorecards, and self-service BI tools. Partner with database, IT, and business teams to validate data, translate requirements, troubleshoot issues, document solutions, and provide user training. The role requires SQL expertise, performance tuning, strong communication, and the ability to manage priorities across multiple projects and requests.

Analyze marketing and digital marketing performance across social, web, app, and email channels. Develop segmentation, attribution, funnel, conversion, retention, KPI, dashboard, and competitive analyses. Design A/B and multivariate experiments, identify data issues, and translate statistical findings into actionable recommendations for stakeholders and senior leaders. Collaborate with technical teams to improve data reliability and support consumer acquisition, retention, and product performance.

Design, develop, test and support Informatica ETL workflows integrating Oracle, MySQL, Salesforce and Data Lake sources. Create/modify Perl scripts, produce design documentation and data flow diagrams, collaborate with QA and business users, troubleshoot issues, and cross-train team members. Follow secure development practices and support performance and integration testing.

The Senior Business Analyst analyzes relational database data, validates and cleans information, and develops dashboards and reports using Excel, Qlik, and Power BI. The role translates business needs into technical requirements, tracks KPIs, supports strategic decisions, and coordinates cross-functional projects involving IT teams, vendors, integrations, testing, and change management. Responsibilities also include project planning, risk tracking, executive reporting, stakeholder presentations, and oversight of transportation, logistics, billing, payroll, and financial processes.

Leads the design and development of enterprise data engineering and business intelligence solutions using medallion architecture, domain-driven design, advanced data modeling, Power BI, SQL, DAX, Power Query M, and Spark Python. Builds scalable ETL/ELT pipelines, star and snowflake schemas, dashboards, and analytics solutions. Collaborates with stakeholders to define KPIs, translates complex data into actionable insights, drives innovation, and mentors team members.

Develops and supports enterprise business intelligence and reporting solutions using IBM Cognos. Responsibilities include maintaining Framework Manager models, creating complex reports, dashboards, scorecards, and widgets, validating data with database and IT teams, translating business requirements into solutions, training users, documenting issues, and promoting self-service BI.

Configure and implement Informatica IDMC MDM solutions across customer, product, and supplier domains. Responsibilities include data modeling, match and merge logic, survivorship, golden records, hierarchies, data quality, governance, stewardship workflows, user access, testing, deployment, documentation, and production support. The role collaborates with business, governance, integration, and data engineering teams to deliver trusted enterprise master data.

Develop and maintain customer audiences using SQL and PySpark in Databricks. Build and monitor data workflows feeding LiveRamp and other onboarding platforms, validate audience quality, analyze segmentation performance, and document reusable audience logic. Collaborate with data science, engineering, marketing, and strategy teams to operationalize model outputs and support CRM, media, and personalization activation.

The Senior Data Engineer designs and maintains production data pipelines on GCP using BigQuery, Dataform, Airflow, Dataflow, and Cloud Run. They own data validation, cleansing, troubleshooting, API integrations, and reliable datasets for analytics and AI/ML. The role also involves translating client requirements into data solutions, maintaining dashboards, supporting ad hoc requests, and applying Git, code reviews, and CI/CD practices.

Designs, develops, and optimizes scalable batch and near-real-time data pipelines and platforms using Snowflake, AWS, Python, DataStage, and Control-M. Builds data models, ensures data quality and governance, tunes performance and costs, supports production operations, and enables analytics and AI/ML use cases. Collaborates with engineering, data science, BI, platform, and business teams in Agile environments.