Data Analyst

Summary

SWBC is seeking a talented individual to work with Data Scientist, Data Engineers, and BI Developers to deliver data driven solutions that impact business performance. The Data Analyst will leverage various tools to manage, organize, and analyze data, providing insights and supporting data initiatives across the organization.

Responsibilities

• Develops and provides requirements for dynamic reporting solutions supporting both internal and external clients to include on time and accurate distribution of daily/weekly/monthly reports as required; and performs ad hoc reports and dashboard reporting options
• Analyzes reports/dashboards for trends in activity and performance and provides data analysis results utilizing various data visuals such as charts, graphs, pivot tables, and the like
• Utilize skills in quantitative analysis, data wrangling, and data storytelling to see beyond the numbers and understand how data can enhance end user decision making and process flow optimizations
• Helps establish requirements and success criteria for Data Modeling and Data Engineering efforts to support the development of centralized data solutions for all end users and business units
• Assists with the development and maintenance of documentation, governance, security best practices
• Supports data validation, KPI development, data model calculations, dashboard development criteria, proof of concepts, and ad hoc reporting requests

Skills

• Bachelor's Degree in Data Science, Data Analytics, Business, Finance, Mathematics, Computer Science, related field, or equivalent experience
• At least 1-2 years of experience in quantitative analysis in a fast-paced environment or across a diverse set of product lines
• Experience in BI development and best practices across various BI tools (Tableau, Power BI, DOMO, or Looker Preferred)
• Experience communicating results of analyses to technical and non-technical leadership teams to influence the strategy
• Strong understanding and ability to interpret ambiguity
• Excellent and effective communication skills, both verbal and written
• Proficient in various data specific coding languages (Python, SQL, Jinja, etc.)
• Able to make decisions and recommendations
• Able to lift up to 20 lbs. of files, supplies, documents, or other related items
• Experience in banking, payments processing, or risk management preferred

Qualifications

Must Haves

• Bachelor's Degree in Data Science, Data Analytics, Business, Finance, Mathematics, Computer Science, related field, or equivalent experience
• At least 1-2 years of experience in quantitative analysis in a fast-paced environment or across a diverse set of product lines
• Experience in BI development and best practices across various BI tools (Tableau, Power BI, DOMO, or Looker Preferred)
• Experience communicating results of analyses to technical and non-technical leadership teams to influence the strategy
• Strong understanding and ability to interpret ambiguity
• Excellent and effective communication skills, both verbal and written
• Proficient in various data specific coding languages (Python, SQL, Jinja, etc.)
• Able to make decisions and recommendations
• Able to lift up to 20 lbs. of files, supplies, documents, or other related items

Nice to Haves

• Experience in banking, payments processing, or risk management preferred

Benefits

• Competitive overall compensation package
• Work/Life balance
• Employee engagement activities and recognition awards
• Years of Service awards
• Career enhancement and growth opportunities
• Leadership Academy and Mentor Program
• Continuing education and career certifications
• Variety of healthcare coverage options
• Traditional and Roth 401(k) retirement plans
• Lucrative Wellness Program