As Sr. Data Analyst I, you’ll monitor, analyze, and support resolution of issues in support of production transaction and interface files processing

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessed withour people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do:

• Support operations and conduct data analytics projects to provide information and insights to stakeholders for decision-making or solution development.
• Implement data standards and deploy automation tools to extract, synthesize, and validate data from different sources and transform data into usable metrics.
• Construct data sets, monitor data quality, troubleshoot and resolve database issues to ensure data integrity.
• Utilize scripting and querying tools like Python, R or SQL, data visualization/BI tools, statistical methods, and data modeling to produce reports, data files, and dashboards.
• Collaborate with stakeholders to understand their needs, objectives, and requirements.

What you’ll need to succeed:

• Active DoD Secret clearance.
• Bachelor's degree in business, a quantitative field, or equivalent field of study
• 4+ years of experience working on business or data analytics projects.
• Deep understanding of statistical concepts and methods, including hypothesis testing, regression analysis, time series analysis, and forecasting. Ability to apply these techniques to solve business problems.
• Experience in creating clear, compelling visualizations using tools like Tableau or Power BI to communicate insights to both technical and non-technical audiences.
• Knowledge of data warehousing concepts and experience with Extract, Transform, Load (ETL) processes to prepare data for analysis.