Data Analyst evaluating health and welfare programs for Marsh McLennan Agency. Working on claims analysis, actuarial projects, and data report development.
About the role
- Visualization Analyst leveraging data insights for customer acquisition and retention strategies at U.S. Bank. Actively collaborates with senior executives to drive enterprise growth through analytics.
Responsibilities
- Act as SME for data visualization and power BI in the team
- Lead end-to-end analytics across the enterprise insights team, leveraging data insights to improve customer acquisition, retention, and profitability
- Identify and implement KPIs, dashboards, and performance metrics to drive business decision-making and operational efficiencies
- Utilize tools like SAS, SQL, Python, R, or other analytical software to analyze and interpret data
- Apply statistical methods to analyze data and derive meaningful insights
- Understand business goals and objectives to align insights strategies and outputs with overall business objectives and expected outcomes
- Analyze and synthesize data to produce predictive insights, supporting business and channel partners to inform business strategies and decision-making
- Present data and insights in a visually appealing and easily understandable format leveraging Power BI
- Identify, evaluate, and acquire relevant data sources and their locations, collaborate with data providers, ensure data quality and security, maintain infrastructure
- Co-build a high-performing team of data scientists, analysts, and strategists, fostering innovation and continuous learning.
- Partner with senior executives and cross-functional teams (Business Line, Marketing, Technology, Product, and Digital) to align data analytics and insights with business objectives.
- Act as a thought leader, presenting insights to executive leadership and influencing key strategic decisions.
- Develop strategic plans, define goals, identify target segments, collaborate cross-functionally, monitor trends, allocate resources, review and adjust plans.
- Identify and address challenges, develop innovative solutions, and drive continuous improvement.
- Quickly adapt to changing market conditions, technologies, and customer preferences.
Requirements
- 3+ years of experience in data visualization and analytics using power BI, or a related field, with a proven track record in banking, fintech, or financial services.
- Master’s degree preferred in Data Analytics, Business, Finance, Economics, or other quantitative fields.
- Power BI certification (microsoft power BI certification) preferred.
- Deep expertise in data visualization and analytics, predictive modeling, power BI and power point presentations.
- Experience with Azure Synapse and Databricks.
- Strong knowledge of business banking products, lending, payments, and financial services for small to mid-sized businesses.
- Proficiency in SQL, Python, SAS, Power BI, Tableau, or similar analytics tools.
- Strategic mindset with exceptional leadership, communication, and stakeholder management skills.
- Expert knowledge of and skills related to marketing technology stack and staying updated with technology trends including the ability to understand and familiarity with the concepts, principles, and techniques used in statistics.
- Expert/advanced ability to effectively plan, execute, and oversee the selection, evaluation, and ongoing management of vendors and agencies.
Benefits
- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
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