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Business Data Analyst


Job ID : 35375

Location : Houston, TX

Company Name : wipros

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

Industry : Information Technology

Salary : $25000 - $35000  per year

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


Required Skills : Data Visualization, Data Cleaning, Python..

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


Job Description :

Responsibilities:

  • Play a key role in building RFPs and RFIs approvals while ensuring timelines and goals are met.
  • Collaboration with other teams to develop tailored solutions that meet clients' needs using our suite of data, targeting, and product channels.
  • Work with the product and engineering teams in ideation and development of tools to enhance the existing products and increase capabilities of the team.
  • Brainstorm on ideas that have the potential to increase revenue for the company and execute it with the team's help.
  • Projecting client’s potential revenue using sophisticated techniques like Predictive Analytics and Mathematical Modelling
  • Developing optimal audience targeting strategies which cater to client’s KPI with realtime analysis & benchmarking.
  • Development of automated in-house cross-team functional tools which increase efficiency by at least 2x and promote precision along with accuracy.
  • Support Campaign Management team with live optimization support and techniques including segment creation throughout the life cycle of a campaign.

Requirements:

  • 1 year of media experience preferred, but not required.
  • Idea-driven; creates and improves strategies and processes.
  • Ability to see the big picture, identify key issues, and provide proactive tactical and strategic recommendations.
  • Detail-oriented and diligent work ethic with excellent organizational, project/time management, and problem-solving skills.
  • Communicates efficiently, skillfully and tactfully – written, verbal, and presentations.
  • Analytical thinker, digests data to make conclusions, recommendations, and troubleshoot.
  • Ability to excel in a highly dynamic, fast-paced environment that requires fast learning and flexible thinking. 

Key Skills:

  • Data Visualization.
  • Data Cleaning.
  • Python.
  • SQL.
  • Machine Learning.
  •  Linear Algebra and Calculus 

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