Top Remote Analytics Jobs in Ann Arbor, MI

Lead and scale Arcadia's Data & Analytics engineering organization, define multi-year data platform architecture (Snowflake-based), drive platform governance and cross-organizational adoption, optimize large-scale data processing, and align data investments with business goals while building high-performing teams.

Hands-on GA4 analyst contractor managing analytics across multiple clients: diagnose data quality and bot traffic, implement GTM tracking, build Looker Studio dashboards, collaborate with SEO/Paid/Strategy teams, and contribute to internal tooling and measurement improvements.

Lead and scale Arcadia's Data & Analytics engineering org, define multi-year data platform and unified data model, optimize Snowflake architecture, enable cross-functional data usage, set governance standards, and drive technical execution across ingestion, transformation, and analytics.

Lead development and execution of data-driven audit strategies for insurance and PBM clients. Analyze large datasets, design analytics solutions, create dashboards, perform statistical profiling and sampling, ensure regulatory compliance, manage project budgets and client communications, and coach junior staff to improve examination efficiency and effectiveness.

Serve as customers' analytics and measurement expert during onboarding and post-sales. Define measurement strategies, configure data-driven recommendations, perform performance analysis using first- and third-party data, lead discovery sessions, and consult on implementations to align data strategy with business KPIs and maximize Demandbase value.

The Lead Analytics Consultant will guide a team, define analytical strategies, optimize data processes, and collaborate with stakeholders to drive data-driven decision-making.

Lead organization-wide analytics and impact measurement, manage large cross-functional data projects, produce strategic insights and visualizations, advise stakeholders on evaluation and data practices, and help shape analytics team strategy and data infrastructure improvements.

Design, build, and maintain scalable ETL/ELT pipelines and Power BI dashboards; write testable Python, R, and SQL code; enforce version control and engineering standards; partner with data scientists to productionize analytics; explore AI tools; and mentor junior staff.

Oversee the development and maintenance of credit risk models, ensure compliance, validate performance, and manage a team of analysts.

The Director of Analytics leads analytics strategies, data engineering, and statistical modeling to enhance decision-making for healthcare operations, managing a team and ensuring data integrity and quality.

The role involves performing product usage analyses, designing A/B tests, leveraging AI tools for insights, and working cross-functionally to improve business performance metrics.

The VP of Data Strategy & Analytics will operationalize and scale the DSA function, enhancing processes while leading strategic client engagements and measurement frameworks to align cross-functional teams and ensure high-quality data solutions.

Lead the implementation and development of advanced analytics products utilizing blockchain data to detect and mitigate cryptocurrency fraud, overseeing the entire analytics product life cycle with a collaborative team.

Drive go-to-market revenue analytics and strategy by building forecasts, dashboards, and ad-hoc analyses. Partner with Sales, Sales Ops, and Finance to set targets, quota, and deliver actionable recommendations to executive leadership.

Embed clinical science into analytics and product teams to translate operational datasets into actionable protocol design, enrollment, feasibility, and risk-mitigation recommendations. Lead scientific interpretation of eligibility, enrollment modeling, site performance, and analytic model validation. Engage sponsors with deliverables and presentations and develop scalable methodologies, templates, and playbooks to support study design and product roadmap.

As a Senior Data Strategist, lead strategic consultations, interpret performance analytics, design measurement frameworks, and model supporter journeys to enhance donor acquisition and retention for non-profit partners.

The Data Analytics Associate will analyze healthcare data, support research projects, and develop insights for clients in the healthcare sector.

The Director of Data Analytics will lead the analytics roadmap, develop success metrics across departments, and manage a growing data team while ensuring data governance.

The role involves analyzing data security, designing Databricks components for access control, and collaborating on architecture documentation.

The role involves creating testable hypotheses using data, launching A/B tests, and partnering with analysts to improve game metrics. Responsibilities include presenting findings to non-analysts and using benchmarks for actionable insights.

The Data & Analytics Engineer will model and serve data, improve architecture, and collaborate with teams to sustain the data strategy, requiring 5+ years of experience.

The Senior Manager, Data Science & Analytics will lead a team to drive analytics and experimentation strategies for Yahoo Mail's growth and monetization, engaging with product, finance, and marketing to transform data insights into actionable strategies for success.

In this role, you will lead deal analytics efforts, providing data-driven insights for strategic decisions, manage client relationships, and develop junior team members while participating in business development activities.

Lead and scale advertising analytics and tooling to optimize paid-media performance and incrementality. Build predictive and prescriptive models (forecasting, pacing, bidding, attribution), enable automation and self-service insights, and partner cross-functionally to align ad strategy with business goals while coaching a high-performing analytics team.

The Senior Data Analyst will support the Growth Marketing team by developing reports and data insights, conducting statistical analysis, and enhancing data quality for marketing campaigns.