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Data analyst

Posted 8 months ago

We are looking for a data analyst who will be responsible for collecting, processing, analysing and interpreting data, so as to influence strategic and informed decision making


1. Develop, own, and champion strategies for leveraging data from our growth analytics stack.

2. Create analytical and statistical approaches to address business questions, assess data validity, structure data, and provide insights.

3. Continually maintain and enhance dashboards and reports to align with evolving business needs.

4. Design dashboards that expedite the identification of product and service issues.

5. Offer support and training for dashboard utilization.

6. Ensure all company data is centrally available and accessible.

7. Construct scalable data marts from raw data for deriving specified business metrics and insights.

8. Collaborate closely with the DevOps team to develop monitoring and alerting scripts for data pipelines and jobs.

9. Analyze and, if necessary, develop datasets to enhance comprehension of growth KPIs, campaign performance, and user engagement.

10. Process, cleanse, and validate data integrity for analytical purposes.

11. Collaborate with engineering and product teams to guarantee proper data capture in product design.

12. Conduct in-depth analyses to enhance customer acquisition, engagement, retention, referral, segmentation, and revenue across multiple channels. Identify trends and opportunities to improve key user growth metrics.

13. Expand and optimize data and data pipeline architecture.

14. Attain a thorough understanding of the company’s business strategy, products, and analytical outlook.

15. Ensure rigorous practices in the organization’s data stack and data flow processes.

Job Requirements:

1. A minimum of 2 years of SQL experience is required.

2. Minimum of 2 years in a Data Analytics or Data Engineering role, with at least 1 year in a role involving number crunching for reporting purposes (e.g., operations reporting, statistics).

3. Excellent proficiency in quantitative analysis tools, both computer-based and statistical.

4. Strong knowledge of E-Commerce, mobile app growth metrics, including LTV, CR% (Conversion Rate), and Churn.

5. Familiarity with at least one SQL variant.

6. Knowledge of databases such as Redshift, Athena, and MySQL.

7. Exceptional analytical skills and expertise in data validation.

8. Strong oral and written communication skills, including the ability to prepare technical reports effectively.

9. Prior experience with data visualization tools (e.g., Tableau, Power BI) is a plus.

10. Problem-solving skills and the ability to work collaboratively in a team environment.

11. Strong attention to detail and the ability to manage multiple projects simultaneously.

Remuneration and Benefits

1. Salary Range: 120k -150k
2. Access to training and Development Resources
3. Work-Life Balance

4. Daily lunch, HMO

Job Features

Job Category

Data analyst

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