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Associate Data Analyst


Job ID : 35019

Location : College Park, GA

Company Name : wipros

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary : $88000 - $91000  per year

No. of Positions : I have ongoing need to fill this role


Required Skills : Logic and analysis, Relational databases, Problem-solving.

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance


Job Description :

Responsibilities:

  • Apply advanced analytics techniques on large-scale, high-dimensional data to help drive business decisions.
  • Analyze customer behavior o identify unmet customer needs and untapped content opportunities
  • Data wrangling of complex data sets to support modeling of future slates.
  • Support team by aiding in story and visualization building for stakeholder presentations.
  • Optimize our content launch and episode release strategy.
  • Test merchandising strategies to optimize engagement and retention.
  • Ideate and develop new metrics and KPIs, measuring content performance for both tactical and strategic decision-making.
  • Provide ad-hoc analysis support for stakeholders to help move the business forward.
  • Effectively communicate actionable results through compelling data storytelling across the organization.

Qualifications:

  • Bachelor’s degree in Mathematics, Statistics, Operations Research, Computer Science or equivalent knowledge.
  • Attention to detail and willingness to wrangle large sets of complex data.
  • Proficiency in SQL and experience in R and/or Python.
  • Experience in statistical analysis and machine learning techniques: decision trees, regression, clustering etc.
  • Demonstrated ability working independently and applying creativity in solving open-ended problems.
  • Outstanding data storytelling skills through verbal, written, and visual communication.

Key Skills:

  • Logic and analysis.
  • Relational databases.
  • Problem-solving and troubleshooting.
  • Pattern and trend identification.
  • Data mining and data QA.
  • Database design and management.

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