Senior Data Analyst

DataFull TimeRemote

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*Open to candidates in Pakistan, Indonesia,Malaysia, India and Bosnia*

Senior Data Analyst

Key Responsibilities:

  • Design, develop, and maintain reports and dashboards using BI tools (preferably Looker).
  • Write intermediate SQL queries to analyze, extract, and prepare data from our databases.
  • Collaborate with product and marketing teams to implement and optimize event tracking on websites using tools like Heap or Google Analytics.
  • Support ad-hoc data analysis requests to inform business strategy and operations.
  • Communicate findings and insights clearly to non-technical stakeholders in English, driving data-driven decisions across teams.
  • Ensure data quality and integrity in all reporting and analysis.
  • Proactively identify and resolve data quality issues or inconsistencies.

Required Qualifications:

  • Education: Bachelor's degree in a relevant field (e.g., Computer Science, Statistics, Business Analytics, or a related discipline).
  • Experience: At least 4 years of experience in data analysis or a related role.
  • Technical Skills:
    • At least Intermediate Proficiency in SQL:
      • Capable of writing joins, subqueries, and CTEs with ease.
      • Proficient in performing data transformations, aggregations, and calculations for analytical purposes.
      • Good understanding of conditional logic (e.g., CASE statements) and basic window functions (e.g., RANK, ROW_NUMBER).
      • Comfortable debugging queries and identifying data discrepancies.
      • Exposure to query optimization techniques for improved performance.
    • Hands-on experience with BI tools, preferably Looker.
  • Analytical Expertise: Strong problem-solving skills and the ability to interpret and analyze data to generate actionable insights.
  • Event Tracking: Understanding of web event tracking concepts and experience working with tools like Heap or Google Analytics.
  • Communication: Excellent communication skills in English, with the ability to explain technical insights to non-technical audiences.
  • Remote Work Experience: Comfortable working remotely, with proficiency in using tools like Slack, Zoom, and Google Workspace.
  • Soft Skills: Strong organizational skills, attention to detail, and the ability to work independently and meet deadlines.

Nice-to-Have:

  • Experience with dbt for data modeling.
  • Familiarity with crowdfunding platforms or the fintech domain.
  • Exposure to scripting languages like Python or R for advanced analytics.
  • Basic understanding of data pipeline automation tools (e.g. Airbyte, Hightouch).
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