Advanced Analytics Data Analyst

We are seeking an experienced Senior Advanced Analytics Analyst to join our Business Banking Analytics team within our Enterprise Analytics & Customer Experience (EACX) Department. This role involves a blend of advanced analytics, statistical analysis, data science, and data engineering to deliver insightful analysis and support strategic initiatives for our business partners in marketing, product and the business line.

This analyst will develop holistic insights by working with partners in marketing, sales, product lines, customer experience, call center, data engineering and various other analytical groups. The analyst will also partner closely with customer experience teams to incorporate customer feedback and satisfaction into data analytics to provide our business banking partners a holistic view of the customer. The analyst will have a passion for generating impactful and actionable insights and opportunities from data.

Key Responsibilities:

• Descriptive Statistics & Data Analysis:

  • 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.

• Advanced Statistics & Data Science:

  • 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 analytical models to forecast trends, assess risk, and identify business opportunities.

• Dashboard & Reporting Development:

  • 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.

• Data Engineering:

  • 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.

• Strategic Analysis:

  • 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.

• Problem Solving:

  • 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.

• Strategic Mindset:

  • Develop a deep understanding of business banking dynamics and market trends to contribute to strategic initiatives and drive business transformation.

  • Continuously evaluate and refine analytical approaches to stay aligned with evolving market conditions and business goals.

  • Ability to partner with product management, marketing, customer experience, and various business partners to translate a business problem into an analytics exercise.

• Presentation & Communication:

  • Communicate complex data findings and insights effectively to both technical and non-technical stakeholders through compelling 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.

Basic Qualifications
- Bachelor's degree in a related field, or equivalent work experience
- Five to seven years of statistical and/or data analytics experience

Preferred Skills/Experience

- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field; Master’s degree or relevant advanced certifications preferred.

- Proficiency in descriptive and advanced statistical analysis, with experience in data science and machine learning.

- Expertise in dashboard and report development using tools such as Tableau or Power BI.

- Strong data engineering skills, including experience with ETL processes and data pipeline management.

- Excellent problem-solving abilities and a strategic mindset, with a proven track record of translating data into actionable business insights.

- Strong presentation and communication skills, with the ability to effectively convey complex data findings to diverse audiences.

- Business banking or financial services experience
- Working knowledge of analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS, Geo-spatial tools and others to perform analysis and interpret data
- Experience in analytics, advanced analytics/statistics, predictive modeling
- Strong analytic skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets
- Demonstrated project management skills
- Effective interpersonal, verbal and written communication skills

The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.