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Associate Data Analyst

Job Title:

Associate Data Analyst

Reports To:

Director, Data Engineering

Department:

Product

Direct Reports: 

N/A



SUMMARY 

We are looking for a dynamic individual to join the fast growing Thnks organization as an Associate Data Analyst

This individual will play a crucial role in bridging the gap between business needs and technical solutions. Your primary responsibilities will involve translating complex business requirements into actionable insights through data analysis, visualization, and reporting. You will leverage your expertise in business intelligence (BI) tools and data visualization platforms to create compelling visuals that effectively communicate data-driven narratives. Additionally, you will be tasked with ensuring data quality by performing data discovery, root cause analysis, and implementing remediation strategies. Your analytical skills will be put to the test as you conduct in-depth data analyses, identify meaningful insights, and provide data-driven recommendations to drive informed decision-making.

Our ideal candidate will be excited to work with a passionate team, learn, problem-solve, and have an innate curiosity and desire to grow. You will thrive in an environment that fosters continuous learning and encourages creative problem-solving.

 

DUTIES AND RESPONSIBILITIES

  • Translate business needs into technical or visual elements using strong BI, reporting, and visualization skills.
  • Perform data discovery, root cause analysis, and remediate data quality issues.
  • Conduct data analysis, identify insights, and provide recommendations.
  • Collaborate with cross-functional teams to understand business and technical requirements.
  • Prioritize and complete multiple projects, demonstrating excellent organizational and time management skills.

 

NECESSARY SKILLS AND QUALIFICATIONS

  • Bachelor's degree in Data Analytics, Computer Science, or a related field, or completion of an accredited software engineering school or bootcamp (or currently pursuing a relevant degree / program).
  • Moderate SQL proficiency.
  • Experience with data visualization tools (e.g., Power BI, Tableau, Mode).
  • Knowledge of Data Management and Data Warehousing concepts and methodologies is a plus!

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