Sr. Data Analyst

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Company: Tribola Tech Inc

Location: Bird In Hand, PA 17505

Description:

08th January, 2025

Working Location: Chicago (320 S Canal St) - Hybrid (1-2 days in office, flexible but HM in Mondays/Wednesdays)

Role Mandate: The selected candidate will be supporting the data analysis and data clean-up needs for the North American Commercial Bank. the US Emerging Middle Market (EMM), US Lower Middle Market (LMM), and the Canadian Mid Market (MM). They will work to support a data cleanup project in the initial stages brought about by the BOTW merge. The selected candidate will have a previous background in data clean-up and data migration projects, strong critical thinking skills, and previous banking experience.

Role Responsibilities Include (but are not limited to):
  • Review duplicated data sources and cleanse based on given protocols.
  • Breaks down strategic problems, and analyses data and information to provide insights and recommendations.
  • Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.
  • Researches and applies continuous improvement in datasets by identifying trends and patterns to transform raw data into actionable business insights.
  • Exercises judgment to identify, diagnose, and solve problems within given rules.
  • Works independently and regularly handles non-routine situations.
  • Broader work or accountabilities may be assigned as needed.

Must-Have Skills:

  • 5+ yrs Data Analytics experience
  • Relevant post-secondary degree preferred
  • Previous experience with data clean-up/data migration projects
  • Intermediate Programming, Query, Modeling and Analytical Tool skills (SQL)
  • Comfortable in a fast-paced and ambiguous environment, and is a quick learner
  • Ability to work independently with limited supervision
  • Strong relationship-building and cross-functional collaboration skills
  • Excellent critical thinking/analytical/problem solving and organizational skills; ability to analyze issues/requests and determine next steps
  • General understanding of data and how it's used to inform business decisions; data-driven decision-making
  • Python/SAS a nice to have
  • Power BI a nice to have
  • Previous banking experience required
  • Background in Lending or Operations an asset.

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