Data Analyst - IT III

Codetech•Chicago, IL

About The Position

We are seeking a skilled and experienced Data Analyst to join the Product Analytics team. The role analyzes data sets to identify trends, patterns, and insights that inform business decisions and helps ensure the quality of data analysis. The analyst develops and automates large data sets for data mining and analysis, including exploratory data analysis and data visualization for ad hoc projects. They apply available tools and their understanding of data to solve evolving business problems. The position involves working with large and complex data sets, reportedly approximately 400 million rows of data per day, and requires independence, initiative, and the ability to propose ideas when users do not provide requirements.

Requirements

  • Bachelor's degree in business, computer science, or a related field.
  • At least 5 years of experience as a Data Analyst, Business Intelligence Developer, or in a related analytical role.
  • Highly experienced with SQL and relational databases.
  • Proficient with data visualization tools such as Power BI, Tableau, Spotfire, and Excel.
  • Strong analytical, data manipulation, and problem-solving skills.
  • Excellent communication skills, including the ability to communicate complex data insights to different stakeholders.
  • Ability to work independently, manage several simultaneous efforts, and remain focused on results.
  • Ability to work with large and complex data sets.
  • Willingness to continue developing and learning technical skills in support of new tools and methods.
  • Required skill: Data Analysis.

Nice To Haves

  • Experience with Akamai, Quantum Metrics, and Dynatrace is a big plus.
  • Strong knowledge of Quantum Metrics.
  • Ability to excel in ambiguous situations and take initiative with minimal supervision.

Responsibilities

  • Analyze data to identify trends and issues that could affect business operations, and propose solutions to mitigate risks.
  • Review data for completeness, accuracy, and consistency to ensure data integrity.
  • Develop and automate large data sets for data mining and analysis.
  • Conduct exploratory data analysis and data visualization for ad hoc projects.
  • Apply available tools and understanding of data to solve evolving business problems.
  • Present ideas and exercise thought leadership when users do not provide requirements.
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