Data Intelligence Specialist (Collections & New Businesses)

Added
16 days ago
Type
Full time
Salary
Salary not provided

Related skills

analytics data engineering sql python dbt
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๐Ÿ“‹ Description

  • Data foundation: Model and build the data layer that supports collections in each new initiative โ€”
  • Map available source data for each new product or vertical, assess gaps, and specify what must be
  • Ensure data quality, consistency, and reliability across the pod's assets, including validation
  • Maintain and evolve the pod's data assets as initiatives scale and requirements change.
  • Build and maintain the dashboards through which each new initiative's collections performance is
  • Structure the recurring reporting routines that feed the pod's management rituals and the

๐ŸŽฏ Requirements

  • Experience in Analytics Engineering, Data Analytics, or BI roles.
  • Prior experience in Credit, Collections, or Recovery areas, with working knowledge of the domain's
  • Advanced SQL and demonstrated ownership of production dashboards used for recurring business
  • Proven track record building data structures and dashboards from the ground up, in contexts where
  • Comfort with ambiguity and shifting priorities, working alongside initiatives still being defined.
  • Strong plus: Python for analysis and automation; experience with dbt, Airflow, or equivalent

๐ŸŽ Benefits

  • Compensation: Competitive salary, PLR (Annual Performance Bonus - for eligible roles), and Variable
  • Health & Well-Being: Health Plan, Dental Plan, Life Insurance, Wellhub (Gympass), and
  • Quality of Life: Meal and Food Vouchers, Birthday Day Off, Mother's Day, and Father's Day.
  • Flexibility: Home Office Allowance and the Work From Anywhere (WFA) program.
  • Family & Care: Childcare Allowance, Atypical Parenting Allowance, Extended Parental Leave, and
  • Education & Career: Partnerships and discounts with educational institutions.
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