Basic Qualifications:

Bachelor’s Degree in a STEM field from an accredited institution is requiredMinimum of 2 years of experience using Power BI that demonstrated applications of value-addMinimum of 1 year of experience with Python for data analysis, especially pandas and common visualization packages like Matplotlib, Seaborn, and PlotlyAbility 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 positionThis 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 environmentMinimum of 3 years of experience with Python for data analysis and visualizationMicrosoft 365 suite skills, including Power Automate and Power AppsExperience with time series analysis, control charting, and statistical process controlIntermediate SQL knowledge (window functions, pivots, etc.)Experience with Azure, Databricks, and data lakesExperience with other engineering data tools: SAS, Minitab, JMP, MS Excel, Six Sigma, M-CodeStrong verbal and written communication skills to work across various IT, manufacturing, and engineering departments at all levels of the organizationDemonstrated 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 monitoringUtilize DAX to create custom and dynamic measures Create clear and flexible visualizationsClean and prepare data using SQL and M-CodeWork with internal customers to continuously improve dashboard quality and effectivenessOwn the Power BI workspaces for the Howmet Research CenterAssist in vetting and publishing reportsMaintain workspace quality and security, and assist in improving report refresh ratesCollaborate with corporate and local Power BI resources to drive best practicesDesign and build applications in Power Automate and Power Apps for production usePerform exploratory data analysisAnalyze diverse data streams and factors to deliver actionable insightsAssist in developing data quality monitoring systemsApply statistical testing to identify trends in data