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ESSENTIAL JOB RESPONSIBILITIES: include but are not limited to:

• Supports and demonstrates IMA’s core values.
• Values and understands the importance of diversity, equity, and inclusion among all IMA associates.

The Data Analyst II role will be responsible for performing moderately complex and detailed analyses using various data sources to provide insight to decision-makers. With minimal guidance from the VP of Insights & Analytics, the role will focus on transforming data into reports, dashboards, analytic apps, strategic/tactical plans, and presentations. This position will play a critical role in building and advancing IMA’s analytic capabilities. The Data Analyst II role will be involved in a variety of analytic efforts working across key pillars of the organization. The candidate will enjoy diving into the nitty-gritty of data, but never lose sight of the big picture. 

 

• Execute a range of standard and ad hoc analytic projects in SQL/R/Python/Power BI utilizing a problem-solving approach to meet business needs with minimal guidance. Research, hypothesize and develop analytical approaches for identifying, analyzing, and interpreting trends or patterns in complex data sets.
• Convert moderately complex business requirements into actionable reports and/or analytic content, including developing, automating, standardizing, and maintaining reports, dashboards, and analyses.
• Analyze & interpret data using a range of statistical and analytic (descriptive, diagnostic & predictive) techniques.
• Use data visualizations to generate presentations that facilitate data storytelling and aid in understanding trends of business importance.
• Clearly and concisely explain analytical findings to non-technical colleagues.
• Serve as a liaison between the Insights & Analytics team and various IMA stakeholders to brainstorm, identify, scope, and prioritize analytic initiatives to drive business value.
• Contribute to building and advancing IMA’s data culture when working with other associates.

 

REQUIRED EXPERIENCE AND SKILLS:  include but are not limited to:

• Demonstrated analytical skills to extract, manipulate, analyze, and communicate significant amounts of data with attention to detail and accuracy required.
• Critical thinking and problem-solving skills with ability to prioritize and multitask required.
• Strong learning agility and ability to independently identify and learn relevant tools, technologies, and processes quickly is required.
• Advanced Excel and intermediate to advanced SQL skills required with demonstrated intermediate to advanced experience in Python or R, with the ability to write efficient queries and scripts involving multiple tables and complex logic. Preferred experience with Power BI and/or DAX.
• Ability to own and manage smaller, less complex projects from ideation through execution.
• Ability to identify and succinctly summarize roadblocks, constraints, and trade-offs, propose potential solutions, and drive toward resolution.
• Ability to develop working relationships across the company and clearly communicate with users to assess needs and requirements.
• Bachelor’s Degree required; degree in a business or quantitative field (e.g., analytics, finance, economics, mathematics, engineering, etc.) preferred.
• 2-4 years required of full-time data analysis experience  
• Limited travel required (less than 25%).

 

COMPETENCIES & TRAITS:

• Agility/Flexibility
• Self- Direction
• Problem Solving
• Technology
• Communicating

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