Advanced Analytics Analyst - Strategic Insights

About the Role

Key Responsibilities

• Utilize descriptive statistics to summarize and interpret business banking data, providing clear insights into trends, patterns, anomalies, and opportunities.
• Perform in-depth data analysis to support various business functions, ensuring data accuracy and actionable insights.
• Apply advanced statistical methods and data science techniques, including predictive modeling and machine learning, to uncover trends and drive data-driven decision-making.
• Develop and implement data science models to predict customer behavior, develop business rules, and identify business opportunities.
• Design, develop, and maintain interactive dashboards and reports using data visualization tools (e.g., Tableau, Power BI) to present key metrics and insights to stakeholders.
• Ensure dashboards and reports are user-friendly, accurate, and aligned with business needs.
• Identify, source, and manipulate new data sources and metrics for use in analysis.
• Build and optimize data pipelines and ETL processes to ensure seamless integration and high-quality data availability for analysis.
• Collaborate with data engineering teams to enhance data infrastructure and resolve data quality issues.
• Conduct strategic analyses to evaluate business performance, identify growth opportunities, and support strategic planning initiatives.
• Provide actionable recommendations based on data-driven insights to guide business strategies and improve operational efficiency.
• Address complex business problems with innovative analytical approaches and solutions.
• Work cross-functionally to define analytical requirements, develop solutions, and implement strategies to address business challenges.
• Develop a deep understanding of business banking dynamics and market trends to contribute to strategic initiatives and drive business transformation.
• Partner with product, marketing, strategic partners, customer experience, and various business units to translate business problems into analytics exercises and actionable recommendations.
• Communicate complex data findings and insights effectively to both technical and non-technical stakeholders through presentations and reports.
• Develop and deliver presentations that clearly articulate the value of analytical insights and recommendations using effective and easy-to-understand data visualizations.

Requirements

• 5+ years of experience in advanced analytics, data science, or a related field.
• Bachelor's Degree in Business, Finance, Accounting, Statistics, Data Science, Analytics or related field.
• Strong foundation in descriptive statistics, data analysis, data visualization, data science, and data engineering.
• Partnering with business partners and strategic analysis skills.
• Ability to identify and source new data sources, extract, manipulate, and analyze data.
• Experience developing dashboards and reports using tools such as Tableau or Power BI.
• Proficiency in data querying using SQL and SAS.
• Understanding and leveraging data science and machine learning concepts.
• Excellent problem-solving abilities and strategic mindset.
• Strong presentation and communication skills to convey complex data findings.
• Self-starter with attention to detail and ability to manage multiple projects.

Nice to Have

• Financial services experience.
• Certification in business analytics, data mining, data science or statistical analysis.
• Master's Degree in Business Administration, Information Systems, Statistics, Business Analytics or Data Science.

Benefits & Perks

• 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