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1mo ago

Data Analytics Engineer

General Motors Warren, MI

Warren, MI

1mo ago Closed

Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Jul 27, 2026).

Job Description

The Data Analytics Engineer role at General Motors focuses on creating and maintaining Power BI reports and dashboards, conducting data analysis to support Global Supplier Quality and Development, and enabling data-driven decisions across APQP and supplier quality processes within a hybrid in-office/remote policy.

Responsibilities

Develop and maintain reports and dashboards using Power BI, Excel, SharePoint, Python, and Oracle SQL Developer to enable complex data analysis for GM Global Supplier Quality and Development.
Support leadership in data driven decision making by building APQP oriented reports and tools.
Provide reporting on Component Readiness Valves (CRV), Production Part Approval (PPAP), and Run at Rate processes across the Global Vehicle, Powertrain, and Software Development Process (GxDP) to aid Supplier Quality Launch Engineers.
Lead integration of the Supplier Process Change Request (SPCR) into Supplier Quality value streams, ensuring stakeholders have timely access to data for change actions.
Assist Supplier Quality Engineers in analyzing Quality Performance Rating (QPR) metrics to identify trends and failure modes using custom KPIs.
Gather functional and technical requirements from Supplier Quality Engineers and Leadership to create reports with drill-down capabilities for users at different organizational levels.
Design, develop, validate, and publish reports in Power BI using DAX and Power Query M to collect, clean, and model data.
Build meaningful dashboards with visualizations such as histograms, bar charts, pie charts, and line plots to communicate insights for critical leadership decisions.
Maintain and update reports deployed to the Power BI Service, including scheduling data refreshes for reliability.
Coordinate cross-functional tasks to move reports from Pre-Production to Production servers via Change Requests.
Leverage Pivot Tables, Data Models, and formulas in Excel to support reporting needs.
Create Macros using VBA to automate data entry and report generation tasks.
Use Oracle SQL Developer and SQL queries to locate relevant data tables and fields for task goals.
Perform data wrangling to extract the requisite fields for reporting.
Act as a Subject Matter Expert on Supplier Quality systems such as SPPS, SQMS, and SCMS in cross-functional initiatives.
Identify data quality issues and advise on changes and updates to data systems.
Adhere to hybrid work policy requiring 3 days in-office and 2 days remote; must be able to report to the local GM office.

Requirements

Bachelor's degree in Data Science, Computer Science, Electrical Engineering, Electronics Engineering, or a related field.
Two years of experience as a Data Analyst or in a related role.
Two years of experience with Microsoft Excel.
One year of experience with Microsoft Power BI.
One year of experience with SQL and Oracle.
One year of experience with VBA macros.
One year of experience with Microsoft SharePoint.

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1mo ago

Data Analytics Engineer - Techno functional

Capgemini Atlanta, GA

Atlanta, GA

1mo ago Closed

$103k - $129k/yr Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Jul 22, 2026).

Job Description

Capgemini in Atlanta, GA (hybrid) is seeking a Data Analytics Engineer with a salary range of USD 103,330 - 128,656 per year.

Responsibilities

Collaborate with business stakeholders to define key metrics, KPIs and data requirements
Design, build and maintain efficient data pipelines and ETL processes to support analytics and reporting
Translate complex datasets into clear business oriented insights and recommendations
Develop and maintain dashboards, reports and visualizations
Ensure data accuracy, consistency and governance across platforms
Conduct deep dive analyses to uncover trends, risks and opportunities
Partner with data scientists, product managers and business teams to support strategic initiatives

Requirements

Bachelors degree in Computer Science, Data Engineering, Statistics or a related field
8 years of experience in data engineering and analytics roles
Strong proficiency in SQL Analytics tools
Proven experience in financial services and wealth management domains with expertise in stock plans, financial data, Crypto and related business processes
Hands on experience with data warehousing solutions such as Snowflake
Solid understanding of data modeling, architecture and governance principles
Excellent communication and collaboration skills

Technologies

SQL Analytics tools
Snowflake
Dataiku
AWS
Azure
GCP

Preferred Skills

Experience with cloud platforms e.g. AWS, Azure, GCP
Familiarity with Analytics tools such as Dataiku
Prior experience working with Wealth Management team

Benefits

Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief
Life and disability insurance
Employee assistance programs

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Kpi Frameworks Data Jobs

Data Analytics Engineer

Data Analytics Engineer - Techno functional

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