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Data Analyst

Pay: 
$120,000
  • Looking for junior, mid-level, and senior data analysts
  • Job Description:
    • Analyze data from disparate source systems to understand grouping, meaning, and purpose of data and its use. 
    • Participate in data requirements gathering and analysis meetings with team members, internal and external customers, and stakeholders.
    • Assist sales staff with communicating the features, benefits and value proposition of all of our various service delivery products in a sales environment. This may require customer visits.
    • Assist the sales team with communicating and designing the best solution for a customer or prospect.
    • Liaise with customers throughout and after the delivery of the service to monitor the quality of the solution.
    • Liaise with peers in other regions to share information and knowledge, and ensure best practice outcomes for the customers.
    • Collaborate with technical and non-technical resources to solve issues and develop new functionality.
    • Able to travel for client meetings externally or collaboration meetings internally
  • Education: 
    • At-least a Bachelors degree in computer science or engineering
  • Years of Experience:
    • Junior level: 2~3 years experience
    • Mid level: 3~6 years experience
    • Senior level: 6+ years experience
  • Technology Experience:
    • Expert at analyzing data using Excel or willing to learn data wrangling and munging tools.
    • Some SQL, writing queries, joins, constraints, etc.
    • Some experience in Data visualization tools such as Power BI, Tableau, etc. 
  • Concept Experience:
    • Must understand these concepts: ETL, Data Modeling, Data Dictionary
  • Leadership
    • Looking for people to own and run things and not just look for tasks
    • Must be a self-starter, engineer at heart, loves to solve problems
  • PREFER TO HAVE EXPERIENCE IN:
    • Microsoft Azure
  • BONUS:
    • Experience in Financial Services / FinTech / Governance, Risk, and Compliance
    • Blockchain
    • Analytics, visualization, data science, machine learning, etc.

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