Tue, Nov 15, 2022
Full time

What You'll Do

• Act as the first point of contact to answer all business data queries.

• Develop effective reporting solutions by utilising engineering best practices and various reporting tools.

• Participate in continuous improvement of these reporting solutions.

• Finding the right metrics to report and defining KPIs.

• Drive and support your designated business unit by converting complex data and findings into understandable tables, graphs, and written reports.

• Present appropriate analysis and commentary to technical and non-technical audience.

• Gain subject matter expertise and help define appropriate key metrics for the business unit and discover untapped areas for business improvement.

• Provide concrete data-driven insights.

• Test and communicate new features to users.

• Run regular data integrity audits and A/B Tests.

• Devise and evaluate methods for collecting data, such as surveys, questionnaires, and opinion polls.

• Gather data about consumers, competitors, and market conditions.

What You'll Need

• 2+ years of demonstrated experience working in an analytical role.

• 2+ years of demonstrated experience with business intelligence and visualisation tools creating management dashboards.

• Strong analytical skills and a passion to work with large sets of data.

• Passionate about learning new technologies and working on a product of massive scale and impact.

• Writing SQL queries against large amounts of data.

• Self-starter with excellent communication and organisational skills.

• Ability to get hands-on in a complex operational environment.

• Must be process oriented and a logical thinker with good attention to detail.

• Working knowledge with reporting tools such as Tableau, MicroStrategy or Looker.

• Working knowledge in Python, R, Spark, Hive.

• Experience in ETL / ELT is a plus.

• Experience working with dimensional data, data lakes is a plus.

Nice to Haves:

• Experience working on Shopify.

• Keen interest in Learning New Things and Sharing Information.

Send Us Your CVs on with “Data Analyst” in the subject!



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