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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Data Analyst • , , Pakistan, Pakistan
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