Top Remote Analysis Reporting Jobs in Ann Arbor, MI

Design and deliver scalable enterprise data platforms supporting analytics and AI for private equity portfolio companies. Lead architecture, data modeling, governance, pipelines, testing, deployment, and monitoring across the full project lifecycle. Manage and mentor cross-functional technical teams, communicate recommendations to senior client stakeholders, and remain hands-on with SQL, Python, cloud data platforms, and transformations. Contribute to AI strategy, reusable architectures, business development, and firm-wide initiatives.

Administer, maintain, install, configure, upgrade, and troubleshoot IBM DB2 databases across AIX and UNIX environments. Develop SQL, DDL, DML, PL/SQL, shell, and deployment scripts; manage database objects; support production systems; and coordinate database changes with application, technical support, and operations teams to ensure availability, stability, and reliability.

Leads the strategy, architecture, implementation, governance, and commercialization of the enterprise data platform. Builds cloud data infrastructure, pipelines, models, DataOps practices, audience intelligence capabilities, and privacy-safe data products. Partners with executive and cross-functional teams to support analytics, personalization, AI, machine learning, reporting, and revenue opportunities. This hands-on technical leader also manages strategic vendors, drives enterprise data initiatives, and communicates technical strategy to non-technical stakeholders.

Leads strategy, roadmaps, quality standards, and modernization for College Board’s higher education data programs. Builds affordability measurement frameworks, dashboards, reports, market analyses, and opportunity scoring to guide institutional and student outreach. Analyzes international higher education data to expand SAT and AP recognition. Partners cross-functionally, manages external relationships, influences stakeholders, and translates complex datasets into strategic recommendations and actionable insights.

Owns go-to-market data governance, quality, enrichment, and automation across Salesforce and connected systems. Designs standards, controls, source-of-truth models, AI and LLM-powered workflows, monitoring, and remediation processes. Partners with Business Operations, Marketing Operations, Customer Success, Finance, IT, and security to improve data accuracy, compliance, reporting, and operational efficiency. Leads data management and automation projects from planning through measurable outcomes.

Analyzes and troubleshoots automotive retail data across ingestion, transformation, and delivery pipelines. The role manages data quality, investigates issues, queries large datasets with SQL and Excel, partners with vendors, engineering, product, and customer-facing teams, and leads improvement projects. Candidates need automotive industry or dealership operations experience, strong analytical and communication skills, and the ability to resolve urgent issues while improving long-term data processes.

Leads the migration of legacy data warehouses and pipelines to an Azure and Databricks lakehouse. Defines technical architecture, reusable Azure Data Factory and Databricks pipelines, reconciliation methods, quality gates, and performance solutions. Mentors data engineers, reviews technical work, and collaborates with product, QA, platform, and customers in a remote Agile environment.

Analyzes marketing data to guide investment decisions, improve campaign performance, segment customers, support A/B testing, and identify conversion opportunities. Builds dashboards and reports, maintains metric definitions and data quality standards, investigates anomalies, and communicates actionable insights to sales, marketing, and global operations partners.

Delivers daily, weekly, and month-end customer reporting while maintaining solution components, validating data, and resolving reporting issues. Analyzes complex datasets, supports customer implementations, and improves reporting efficiency using Excel, Access, SQL, and the Infios FAP Portal. Collaborates with Operations, Product, Implementations, Commercial teams, and customers to provide accurate, data-driven outputs and document scalable processes.

Design and maintain Twilio’s R&D analytics data layer using AWS and analytics modeling tools. Define metrics and data lineage, build automated reconciliation and quality checks, investigate anomalies, and communicate solutions. Collaborate with Product and Engineering, mentor analytics team members, and establish best practices for data modeling, testing, documentation, and code review.