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Job ID : 34712

Location : Texas City, TX

Company Name : Apollose

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

Industry : Information Technology

Salary : $31000 - $44000  per hour

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

Required Skills : Proficiency Data Modeling, Python, Data analysis tools, ..

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

Job Description :


  • Derive insights from data analysis, conduct root-cause analysis of operational issues identified by the data, and provide recommendations to remediate operational issues.
  • Transform raw data and analysis into data visualizations and interactive dashboards using dashboard tools.
  • Drive understanding of our customers and their interaction with our contact center and customer operations teams, through in-depth analyses of customer interaction, engagement, and transcribed calls.
  • Answer complex business questions via SQL  queries to enable business owners to make critical decisions.
  • Investigate to identify problematic trends that may impact customer experience and operational metrics negatively.
  • Support customer operations projects, initiatives and decision making with business and data analysis.
  • Recommend changes in business model and processes to achieve efficiencies or experience improvements.
  • Participate in operational discussions for problem resolution and be able to communicate complicated business/technical solutions.
  • Improve data culture by providing data visualization ready to use templates.
  • Assist with the development of requirements, testing, training documents, SOPs and related materials for customer operation projects, applications and services.


  • Bachelor's Degree in Data Analytics, Statistics, Economics or related field.
  • 5 years of experience in Data Analytics.
  • Manage, transform, and analyze data using SQL or similar tools.
  • Experience with data visualization tools, such as Power BI and Tableau.
  • Comfortable with ambiguity with the ability to challenge traditional thinking to solve problems.
  • Ability to translate business language into technical requirements.
  • Ability to clean, wrangle, and transform large, complex data sources, using fit-for-purpose data analysis techniques to generate robust insights.
  • Strong Microsoft Office skills: Excel, PowerPoint, Access and Google skills: Sheets, Slides, etc.

Key Skills:

  • Advanced knowledge of data analytics, cleaning and preparation.
  • Proficiency with data modeling and data analysis tools.
  • Expertise in programming languages Java, Python, R, SAS, Scala, SQL.
  • Experience with statistical and mathematical analysis.

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All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. is not a Consulting Company/Training Company/H1B Sponsor.

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