Data Analyst

Judit Inc

Data Analyst

Plano, TX
Full Time
Paid
  • Responsibilities

    Top skills:

    • Business Analysis
    • Tableau
    • SQL

    Schedule: Fully onsite 9am-5pm

    Skills and Qualifications

    • Master’s degree in Mathematics, Computer Science, Economics, or Statistics
    • 5-7 years experience mining data as a data analyst or business data analyst
    • Proven analytic skills, including mining, evaluation, analysis, and visualization
    • Technical writing experience in relevant areas, including queries, reports, and presentations
    • Strong Google Big query,SQL or Excel skills with the ability to learn other analytic tools
    • 5+ years experience using reporting tools such as Tableau.
    • Technical expertise regarding data models, database design development, data mining and segmentation techniques
    • Working experience with transactional data sets
    • Previous experience in ecommerce analytics or similar function with heavy focus on data analysis
    • Must have executive level power point creation experience

    Responsibilities

    • Develop, implement, and maintain leading-edge analytic reports, taking complicated problems and building simple frameworks
    • Identify trends and opportunities for growth through analysis of complex data sets
    • Create best-practice reports based on data mining, analysis, and visualization
    • Evaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning data
    • Work directly with management and users to gather requirements, provide status updates, and build relationships
    • Proactively analyze data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance, investigating and communicating areas for improvement in efficiency and productivity
    • Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources