Allianz Partners
Performance Analyst
Allianz Partners - Richmond Heights, Virginia, United States
Work at Allianz Partners
Overview
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Overview
Summary
Provides analytic support to business team(s) in achieving their profitable growth goals by offering insightful, actionable and in-depth data analysis and recommendations based on that research.
Job Functions
Regular, predictable, reliable attendance is an essential function of this position.
Key responsibilities that take no less than 10% of overall job time:
Analyze complex data for trends, highlights in-depth interpretations and provides in-depth root cause analysis. Translate complex data into insightful analysis and make recommendations. Illustrate complex information in a clear concise manner. Define, identify, develop and implement information products to support business needs. Develop a deep understanding of drivers of business performance and dynamically monitor critical operational measures Deliver timely, insightful, and actionable analysis Be accountable for data quality, report accuracy, model integrity, and business impact Develop highly effective predictive methods that support and improve business decision-making Analyze effects of trends in customer behavior on revenue and profitability; recommend product, underwriting, sales, or marketing strategies that drive profitable growth. Identify sources of unprofitability on portfolio and collaborate with functional areas to determine strategic actions. Work with functional areas to identify and implement opportunities for utilizing company data to drive profitable growth solutions. Develop processes and tools to monitor marketing, sales and profitability initiatives. May perform other duties as assigned.
Minimum Qualifications
Bachelor's Degree in Finance, Math or other quantitative field One (1) to three (3) years of analytic experience Strong familiarity with data and analytic/statistical tools such as SQL, R, Python, SAS as well as Excel Strong problem-solving abilities, including demonstrated tenacity at mining data to discover root causes of end results Strong oral and written communication skills, including ability to influence without authority Demonstrated success using data visualization techniques to present analytical findings Ability to focus on assignments and ensure that goals and objectives are accomplished within their prescribed timeframes and within allocated budgets with limited direction.
Provides analytic support to business team(s) in achieving their profitable growth goals by offering insightful, actionable and in-depth data analysis and recommendations based on that research.
Job Functions
Regular, predictable, reliable attendance is an essential function of this position.
Key responsibilities that take no less than 10% of overall job time:
Analyze complex data for trends, highlights in-depth interpretations and provides in-depth root cause analysis. Translate complex data into insightful analysis and make recommendations. Illustrate complex information in a clear concise manner. Define, identify, develop and implement information products to support business needs. Develop a deep understanding of drivers of business performance and dynamically monitor critical operational measures Deliver timely, insightful, and actionable analysis Be accountable for data quality, report accuracy, model integrity, and business impact Develop highly effective predictive methods that support and improve business decision-making Analyze effects of trends in customer behavior on revenue and profitability; recommend product, underwriting, sales, or marketing strategies that drive profitable growth. Identify sources of unprofitability on portfolio and collaborate with functional areas to determine strategic actions. Work with functional areas to identify and implement opportunities for utilizing company data to drive profitable growth solutions. Develop processes and tools to monitor marketing, sales and profitability initiatives. May perform other duties as assigned.
Minimum Qualifications
Bachelor's Degree in Finance, Math or other quantitative field One (1) to three (3) years of analytic experience Strong familiarity with data and analytic/statistical tools such as SQL, R, Python, SAS as well as Excel Strong problem-solving abilities, including demonstrated tenacity at mining data to discover root causes of end results Strong oral and written communication skills, including ability to influence without authority Demonstrated success using data visualization techniques to present analytical findings Ability to focus on assignments and ensure that goals and objectives are accomplished within their prescribed timeframes and within allocated budgets with limited direction.