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Data Analyst 2

Intelliswift Software · Plano, TX · Onsite

100100

Hiring signal

Actively hiring

Still listed on the employer's own board · publishes a salary range · How we score

All reasons

In its favour

  • Still listed on the employer's own board
  • Publishes a salary range

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Data Analyst 2 at Intelliswift Software. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Pay rate range - $45/hr. to $49/hr.

Schedule

Fully onsite

Job Description

Top skills

-Tableau

-Data Modeling

-SQL

KEY RESPONSIBILITES/REQUIREMENTS

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

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