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Top Remote Data & Analytics Jobs in Detroit, MI

1,239+ Job Results
8 Days Ago
USA
Remote
31 Employees
Senior level
31 Employees
Senior level
Professional Services
The Data Analytics Architect leads the design and administration of a federal customer’s data analytics suite. Responsibilities include working primarily with Splunk and Cribl in cloud environments, optimizing data storage configurations, and collaborating with teams on security content requirements for SOC operations.
8 Days Ago
United States
Remote
146 Employees
Entry level
146 Employees
Entry level
Software • Consulting
As an Analyst in the Holt Group, you will conduct financial, market, legal, and product research, and craft quantitative analyses, presentations, and reports. You will learn financial modeling while working collaboratively in a part remote, part in-office environment focused on litigation consulting.
9 Days Ago
United States
Remote
14 Employees
Entry level
14 Employees
Entry level
Marketing Tech
The role involves building and maintaining comprehensive account databases for clients, researching and identifying relevant companies, and validating B2B data accuracy. A skilled B2B Data Developer will utilize data mining techniques and collaborate with internal teams to tailor data collection to client needs.
9 Days Ago
40 Locations
Remote
61 Employees
Entry level
61 Employees
Entry level
Information Technology • Software
As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.
9 Days Ago
United States
Remote
4,788 Employees
Entry level
4,788 Employees
Entry level
Digital Media • Gaming • Software
The Research Associate role at a new AI startup involves data collection, QA, data analysis, and improving AI interactions with humans. This position offers opportunities for career advancement and learning new software skills on the job.
9 Days Ago
USA
Remote
55 Employees
Entry level
55 Employees
Entry level
Artificial Intelligence • HR Tech • Machine Learning • Social Impact • Software • Consulting
The Revenue Operations Analyst will manage and optimize the Marketing Ops, Sales Ops, and Customer Success Ops at Wonderlic. Responsibilities include overseeing the RevOps tech stack, ensuring compliance with processes, onboarding team members, streamlining operations, and setting up insightful dashboards.
Top Benefits:
401-K
401-K Matching
Customized Development Tracks
+36 More
9 Days Ago
USA
Remote
237 Employees
Mid level
237 Employees
Mid level
Software
The Data Engineer will be responsible for analyzing and converting customer data onto the enterprise software platform, focusing on ETL solutions and establishing best practices for data conversion. Tasks include collaborating with analysts, leading customer sessions, executing data profiling, and managing multiple projects while ensuring data quality.
9 Days Ago
United States
Remote
73 Employees
Senior level
73 Employees
Senior level
Agriculture
Lead the Data Science team, developing AI models and statistical systems while collaborating with cross-functional teams. Drive research and data strategies that enhance product effectiveness and farmer profitability.
9 Days Ago
United States
Remote
300 Employees
Senior level
300 Employees
Senior level
Consumer Web • Digital Media • eCommerce • Fintech • Financial Services
The Senior Data Analyst will predict revenue and margins to guide marketing and sales decisions, providing actionable insights and solutions to improve business decisions. This role involves analyzing data, maintaining performance reports and dashboards, and collaborating with various teams to drive data-driven strategies.
9 Days Ago
USA
Remote
87 Employees
Junior
87 Employees
Junior
Fintech
As a Data Engineer at Legalist, you will design and develop scalable data pipelines, collaborate with cross-functional teams to meet data needs, and optimize data pipeline performance. Responsibilities include developing ELT processes, participating in agile development, and applying best practices in data modeling.
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