Data Science and Business Intelligence Generalist I

Inside the Role

Develops, analyzes and models operational, economic, management, accounting and other organizational data. Prepares operations analyses, including analysis of competitors, operational effectiveness and capacity utilization. Prepares plans or recommends solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets, evaluates the potential impact of changes and reports on economic forecasts that affect the industry. Responsibilities are within the Data Science & Business Intelligence job family group as a generalist or in a combination of job families.

Posting Information

We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected.

Position offers a starting salary range of $71,000 – $91,000 USD

Pay offered dependent on knowledge, skills, andexperience.

Benefits include annual bonus program; 401kcompany contribution with company match up to6% as well as non-elective company contribution of3 - 7% depending on age;starting at 4 weeks paidvacation; 13+ calendar holidays; 8 weeks paidparental leave; employee assistance program;comprehensive healthcare plans and wellnessprograms; onsite fitness (at some locations); tuitionassistance and volunteer paid time off; short-termand long-term disability plans.

What You Will Drive

Data Mining, Extraction and Analysis - Identify relevant data sources, collect data, and perform various analytical techniques to extract insights using SQL, Excel, Python, or specialized analytics software.Develop, analyze and model operational, manufacturing, and other organizational data.Work with large, complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.

Enterprise Data - Manage and maintain standards and governance for capturing, modeling, storing, and delivering data to the enterprise. Identify data-related business requirements and service standards (i.e., transaction processing speed, reporting capabilities, scalability, etc.). Work with enterprise data models and understand actual and conceptual views of related data sub-architectures (i.e., database, data integration, data warehouse/business intelligence).

Data Visualization and Reporting 64 Create visually appealing and meaningful reports, dashboards, and visualizations to communicate analytical findings and insights to both technical and non-technical stakeholders using tools like Power BI, Grafana, or other analytical data presentation software.

Power Platform Solutions 64 Participate in the design, development, and maintenance of business solutions using Microsoft Power Platform, including Power Apps, Power Automate, Power BI, and related data sources. Translate business requirements into low-code applications, automated workflows, reports, and dashboards. Participate in testing, deployment, documentation, user support, and ongoing solution improvements.

AI and Intelligent Automation - Support the evaluation and development of practical AI solutions that address business needs. Assist with identifying use cases, preparing and validating data, documenting requirements, testing outputs, and monitoring solution effectiveness.

Technical Support - Provide technical support to cross-functional teams during implementation, troubleshooting, and maintenance of data analytic and technology solutions. Participate inthe maintenance and support activities for the data analytics platforms, including monitoring performance, troubleshooting issues, and implementing enhancements along with support and maintenance of local data pipelines.

Technology Consulting - Collaborate with stakeholders from different departments to understand their data and technology requirements and provide guidance on suitable solutions.

Project Management - Coordinate and manage technology projects across different teams, ensuring effective communication, resource allocation, and timely delivery.

Continuous Improvement - Stay up to date with emerging technologies, tools, methodologies, industry trends, and best practices in data analytics and related fields to identify new opportunities for innovation, automation, and enhanced capabilities.

Knowledge You Should Bring

• Bachelors degree from an accredited university/college in related field
• 0-2 years of relevant experience or 4 years of relevant experience in lieu of degree
• Analytical and critical-thinking skills to identify data patterns, solve problems and make data-driven decisions
• Knowledge of how to analyze complex data requirements, troubleshoot data related issues, and propose effective solutions
• Knowledge of relational databases required (i.e. SQL, Oracle)
• Knowledge of data analysis and statistical methods for developing meaningful and accurate responses to business use-cases
• Knowledge of user access controls to applications, tools, and data.
• Knowledge of applications and/or tools to move data to and from thesource systems to the destinationsystems and/or processes
• Ability to maintain appropriate documentation to reflect solution design, life cycles, and configuration of changes includingdata architecture and data lineage
• Experience with data visualization tools (e.g., Power BI)
• Familiarity with Microsoft Power Platform, including Power Apps, Power Automate, Power BI, and common Microsoft 365 data sources.
• Understanding of low-code application development and workflow automation concepts.
• Familiarity with cloud platforms (e.g., Azure, AWS)
• Ability to test solutions, validate results, document findings, and communicate issues to business and technical partners.
• Strong interpersonal skills to effectively communicate with stakeholders from different backgrounds and technical expertise, bridging the gap between business requirements and technical implementation
• Ability to learn new technologies quickly and adapt to changing technological landscapes, as well as the ability to navigate ambiguity

ExceptionalCandidates May Have

• Knowledge of Data Science use cases and in developing and deploying solutions based on data science models.
• Knowledge of ETL/ELT data acquisition, data warehouse management, and data model design principles.
• Knowledge of how to support and leverage integrated (on-prem and cloud) enterprise data environment and tools for data analytics, business intelligence and data science initiatives and projects
• Understanding of responsible AI principles, including data privacy, security, transparency, and human review.

• Experience using AI-assisted tools such as Microsoft Copilot or Azure AI services to support business processes, data analysis, or solution development.

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Where We Work

This position is open to applicants who can work in (or relocate to) the following location(s)-

Detroit, MI US. Relocation assistance is not available for this position.

Schedule Type:

Hybrid (4 days per week in-office / 1 day remote). This schedule builds our #OneTeamBestTeam culture, provides an unparalleled customer experience, and creates innovative solutions through in-person collaboration.