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Marketing Data Analyst


Job ID : 35044

Location : Texas City, TX

Company Name : Apollose

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

Industry : Information Technology

Salary : $12100 - $14100  per year

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


Required Skills : Communication, Critical thinking, Resourcefulness..

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


Job Description :

Responsibilities:

  • Consults with business leaders to drive improved business performance through.
  • statistical analysis and operational research techniques.
  • Provides prescriptive and predictive analytics expertise to support business stakeholders in understanding opportunity areas.
  • Researches, identifies, and integrates new data sources and associated analytics as appropriate to support strategic analyses.
  • Provides advanced support as required for compliance with regulations, maintaining an awareness of evolving regulatory guidelines and industry practices.
  • Develops presentations, artifacts, and documents to communicate analytical results and output.
  • Collaborates within product teams to deliver/communicate output of advanced analysis to support business priorities.

Qualifications:

  • Bachelor's Degree in Business, Finance, Analytics, Economics, Computer Science, Engineering, Math, Statistics, or other relevant technology degree and/or experience.
  • Preferred, Master's Degree in Business, Finance, Analytics, Economics, Computer Science, Engineering, Math, Statistics, or other relevant technology degree and/or experience.
  • 1 year of relevant experience in data analytics, economics, business, or finance.
  • 1 year of experience and expertise working with SQL.
  • 1 year of partnering with other business functions and communicating complex analyses to non-technical leaders.
  • 1 year of dashboarding and data storytelling, proficiency with data visualization tools such as Power BI and Tableau.

Key Skills:

  • Analyze data.
  • The basics of statistical analysis.
  • Analytics tools, attribution modeling, and forecasting. 
  • Communication, critical thinking, resourcefulness.

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