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Data Management Analyst L3Harris

Sacramento, CA, United States

Job Description:

Aerojet Rocketdyne, an L3Harris Technologies Company, is seeking an Data Management Analyst.

Essential Functions:

Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution

Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources

Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across datasets

Develop standard documentation for database structures to enable future growth of data uses including predictive maintenance and AI.

Work closely with project managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers

Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity

Conducts user training as necessary.

May design, analyze and maintain computer programs.

May review and approve the work of lower level analysts.

May make assignments and provide direction to less senior employees and support personnel.

Qualifications

Requires a Bachelor’s Degree in mathematics, computer science, economics, statistics or an appropriate discipline and minimum 4 years of prior relevant experience. In lieu of a degree, minimum of 8 years of prior related experience.

• Three or more years of experience mining data as a data analyst

• Proven analytics skills, including mining, evaluation, and visualization

• Technical writing experience in relevant areas, including queries, reports, and presentations

• Strong SQL skills with aptitude for learning other analytics tools and language

Preferred skills and qualifications

• Experience with database and model design and segmentation techniques

• Experience with Business Intelligence, or other database analytics, applications

• Strong programming experience with frameworks, including XML, JavaScript, and ETL

• Practical experience in statistical analysis through the use of statistical packages, including Excel, SPSS and SAS

• Proven success in a collaborative, team-oriented environment

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