Data Science and Business Intelligence Generalist I

dtna; Detroit (MI); On-site; USD 71,000 - 91,000; Full time

Benefits offered by this job

Annual bonus

401k match

Vacation 4 weeks

13+ holidays

Parental leave

Employee assistance

Healthcare plans

Onsite fitness

Tuition assistance

Disability plans

Job summary

dtna in Detroit seeks a data analytics professional to develop, analyze and model operational, economic, and organizational data, delivering insights on capacity, efficiency and performance.

You will work across data mining, enterprise data governance, dashboards and Power Platform, and contribute to AI-driven automation while collaborating with cross-functional teams to implement data solutions.

Qualifications

• Bachelor's degree required; analytical and critical-thinking skills to identify data patterns and solve problems.
• Ability to analyze complex data requirements, troubleshoot data issues, and propose effective solutions.
• Strong knowledge of relational databases (SQL, Oracle) and data analysis techniques.
• Familiarity with statistical methods for meaningful insights.

Responsibilities

• Data Mining, Extraction and Analysis: identify data sources, collect data, apply advanced analytics to extract insights.
• Enterprise Data: maintain data standards and governance, model and deliver enterprise data.
• Data Visualization and Reporting: build dashboards and reports for technical and non-technical stakeholders.
• Power Platform Solutions: design and maintain low-code apps and workflows with Power Platform.
• AI and Intelligent Automation: evaluate AI use cases, prepare data, validate outputs, monitor results.
• Technical Support: assist cross-functional teams during implementation and maintenance.
• Technology Consulting: guide stakeholders on data/tech requirements and solutions.
• Project Management: coordinate technology projects across teams, ensure timely delivery.
• Continuous Improvement: stay updated with new analytics tools and practices.

Skills

Analytical thinking

Critical thinking

Problem solving

Data-driven decisions

Education

Bachelor's degree in related field

Tools

SQL

Oracle

Job description

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.

We Take Care of Our Team

Position offers a starting salary range of $71,000 - $91,000 USD
Pay offered dependent on knowledge, skills, and experience.

• annual bonus program


• 401k company contribution with company match up to 6% as well as non-elective company contribution of 3 - 7% depending on age


• starting at 4 weeks paid vacation


• 13+ calendar holidays


• 8 weeks paid parental leave


• employee assistance program


• comprehensive healthcare plans and wellness programs


• onsite fitness (at some locations)


• tuition assistance and volunteer paid time off


• short-term and 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 - 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 - 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 in the 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

• Bachelor's 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 meaningfu