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ProAssets LLC

Analyst - Analytics & Business Intelligence

Certificates : Evidencia de estudios (Mandatory)

Division/Department : B2C

Skills : Patience, Communication, Interpersonal skills, Teamwork, Flexibility, Ability to multi-task, Judgement, Initiative, Customer focus, Work ethic, Stress management, Attention to detail

Experience : 2 Years

Reports to :

Shift type : FullTime   |  Salary type : Exempt

1 week ago

Date : 07/27/2026

Job Description :

As an Analyst for Analytics & Business Intelligence you will play a critical role in enabling data-driven decision making. This role involves building small to mid-size business intelligence (BI) solutions –data sets, queries, reports, dashboards, analyses– to answer business questions and deliver insights from data, in a way that is easily digestible by internal stakeholders. You will work closely with the business to gain an understanding of business goals and objectives to build BI solutions that enable effective, data-driven business decisions, while delivering end products on schedule. The Analytics & Business Intelligence Analyst will work on complex BI strategic projects and support with complex dashboarding and analysis using one or more analytics visualization tools (e.g. Excel, Tableau, QuickSight, PowerBI). The Analyst will also troubleshoot data, analyses and code, research root causes, propose solutions, and take ownership in the next steps of their resolution.

Minimum qualifications

  • Bachelor's degree in Engineering, Computer Science, Data Science, Statistics, Economics, Finance or other quantitative field
  • At least 2-4 years of experience building operational reports and developing BI tools using software such as Tableau, PowerBI, Looker, etc.
  • Proficiency in SQL scripting
  • Ability to structure, analyze, and contextualize vast, unstructured or incomplete data in the context of business problems and drive business impact
  • Excellent analytical and modelling skills

Preferred qualifications

  • Experience in telecommunications or large-scale enterprise data environments is a plus
  • Programming in Python and/or R nice to have
  • Experience working in AWS data environments is a plus

EEOC