Howmet Aerospace Inc. (NYSE: HWM), headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. Our primary businesses focus on jet engine components, aerospace fastening systems, titanium structural parts and forged wheels. With $7.4 Billion in revenue in 2024, our products play a crucial role in enabling fuel efficiency and lightweighting, contributing to our customers' success and making a positive impact on the world. To learn more about the way Howmet Aerospace Inc. is advancing the sustainability of our customers, markets, and communities where we operate, review the 2024 Environmental Social and Governance report at www.howmet.com/esg-report . Follow: LinkedIn , Twitter , Instagram , Facebook , and YouTube .
Equal Opportunity Employer:
Howmet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other applicable legally protected characteristics.
If you need assistance to complete your application due to a disability, please email [email protected] Qualifications:
Bachelor's Degree in a STEM field from an accredited institution is required
Minimum of 2 years of experience using Power BI that demonstrated applications of value-add
Minimum of 1 year of experience with Python for data analysis, especially pandas and common visualization packages like Matplotlib, Seaborn, and Plotly
Ability to work in a self-directed and cross-functional team environment.
Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position
This position entails access to export-controlled items and employment offers are conditional upon an applicant's ability to lawfully obtain access to such items
Preferred Qualifications:
Prior experience in a manufacturing environment
Minimum of 3 years of experience with Python for data analysis and visualization
Microsoft 365 suite skills, including Power Automate and Power Apps
Experience with time series analysis, control charting, and statistical process control
Intermediate SQL knowledge (window functions, pivots, etc.)
Experience with Azure, Databricks, and data lakes
Experience with other engineering data tools: SAS, Minitab, JMP, MS Excel, Six Sigma, M-Code
Strong verbal and written communication skills to work across various IT, manufacturing, and engineering departments at all levels of the organization
Demonstrated ability to work effectively in a collaborative and matrixed team environment
Howmet Aerospace, Engines currently seeks a Data Analyst to join our team in Whitehall, Michigan! As a Data Analyst at the Howmet Research Center (HRC), you will join a team of Data Scientists and Machine Learning Engineers. This team is part of a high-performance multidisciplinary R&D team aiming to advance the state-of-the-art in aerospace manufacturing at our casting, alloy, core and rings facilities. As a Data Analyst, you will be expected to leverage your mastery of data analytic tools to build tools and perform exploratory data analysis to drive improvements in our production plants.
Primary Responsibilities:
Design, program, and maintain Power BI dashboards for production use in engineering, manufacturing, finance, and machine learning monitoring
Utilize DAX to create custom and dynamic measures
Create clear and flexible visualizations
Clean and prepare data using SQL and M-Code
Work with internal customers to continuously improve dashboard quality and effectiveness
Own the Power BI workspaces for the Howmet Research Center
Assist in vetting and publishing reports
Maintain workspace quality and security, and assist in improving report refresh rates
Collaborate with corporate and local Power BI resources to drive best practices
Design and build applications in Power Automate and Power Apps for production use
Perform exploratory data analysis
Analyze diverse data streams and factors to deliver actionable insights
Assist in developing data quality monitoring systems
Apply statistical testing to identify trends in data
Equal Opportunity Employer
Please see job description for required skills.
