Position Summary:

The Data Analyst provides cross functional support with routine and project level data to better identify risks, validate key assumptions and trends and make recommendations based on findings. They will be responsible for building and maintaining data visualizations, transforming and analyzing data and provide support to various departments by identifying problems and presenting solutions. They must be able to manage multiple short and long-term projects at a time and assist with implementing scalable business improvements.

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Data Analyst critical responsibilities:  

• Collect, store, transform and analyze data to identify problems and make recommendations to support overall business objectives and growth.
• Create detailed reports using data reporting tools and providing insights based on findings.
• Perform quality assurance reporting to ensure output is accurate and within control parameters.
• Build and maintain data visuals that are accurate, scalable and informative.
• Write efficient queries to retrieve and extract needed information.
• Create clear and concise reports and visualizations using Power BI and Python that summarize findings and communicate insights to stakeholders.
• Participate in cross-functional projects with other departments and the senior management team.
• Utilize data analysis to identify areas of growth and opportunity and identify risks.
• Stays abreast of changes in reporting / analytic tools and techniques to grow and expand their capabilities.
• Create and manage reports to track project progress and provide regular updates to various departments and leadership.

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Qualifications of a strong candidate: 

• Bachelor's degree in computer science, information systems or related field required.
• 3-5 years of experience with large data set analysis, transformation and data modeling.
• Proficiency in Power BI, Python or SQL required.
• Proven experience with identifying problems and making scalable recommendations based on findings.
• Prior experience with probability statistics preferred.
• Experience with financial and/or operational data analysis.
• Ability to work independently, with minimal supervision.
• Ability to effectively manage multiple priorities with a strong attention to detail in a fast-paced environment.
• Ability to manage multiple priorities simultaneously.
• Excellent presentation, written and oral communications skills.
• Strong analytical, quantitative, and problem-solving abilities.
• Must be able to pass a pre-employment background check.