Top Remote Data & Analytics Jobs in Detroit, MI

Build and maintain a near real-time financial dashboard by integrating market and forecast APIs, automating financial models, and crafting clear visual narratives using Flourish and Canva. Collaborate with design and marketing partners, ensure data accuracy and performance, and optimize data flows across multiple feeds.

Senior Snowflake Developer responsible for SAP data extraction and loading into Snowflake. Work includes handling delta/full loads, CDC, large-volume processing, error handling, and SAP ECC source knowledge (procurement, sales). Lead SAP-to-data-platform migrations and work with replication tools (SNP Glue, SLT, Replicate). Remote role with IST-shift hours.

Design and deliver end-to-end Azure Data & AI solutions. Lead technical presales, architect production-ready lakehouse platforms, guide delivery teams, ensure CI/CD, governance, performance, cost optimization, and strong client satisfaction.

The Senior Data Architect designs scalable data architectures across Azure and Snowflake, aligning data strategies with business goals, ensuring data governance, and leading modern data initiatives. They mentor teams and oversee architecture documentation and solution design reviews.

As a Senior Analytics Engineer, you will own Solv's analytics stack, focusing on data pipeline efficiency, customer-facing analytics, and AI-powered tools, working with internal teams to improve metrics, dashboards, and data visibility.

The Data Analyst will support operational reporting and stakeholder needs, working with SQL and Artiva to meet business requirements through data and reporting solutions.

The Solutions Consultant will conduct product demos, assist in sales cycles, and provide evidence of product value while maintaining product knowledge and client relations.

The Business Intelligence Analyst analyzes complex data for finance teams, develops reports and dashboards, and enhances financial reporting solutions. They collaborate with teams to ensure reporting accuracy and alignment with business needs.

The Senior DataOps Engineer oversees data management and storage systems, ensuring timely access to secure and accurate data, improving data workflow automation, and collaborating with teams to meet business needs.

The role involves developing insights from data to shape strategies for eyewear and software operations, focusing on customer experience, operational efficiency, and business growth. Collaboration across functions and advanced analytics are key to identify trends and enhance the customer journey.