Middle Data Analyst
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Role in brief
Inventive Retail Group seeks a Middle Data Analyst to apply SQL and Python skills to iGaming data, focusing on product and commercial analytics, DWH data marts, and A/B testing.
About the role
This Middle Data Analyst role at Inventive Retail Group involves deep dives into iGaming data. The position requires a strong understanding of data warehousing principles and the ability to work with large datasets, using advanced SQL for complex queries and optimization. Candidates should be adept at defining tasks for data engineers to build new data marts and exports.
A core aspect of this role is designing and implementing metrics, along with A/B test design, to drive product and commercial insights. Success in this position means effectively translating data into actionable recommendations that inform business decisions within the iGaming sector.
The role emphasizes practical experience in product or commercial analytics, requiring at least three years in the field. Proficiency in Python, specifically with libraries like Pandas and NumPy, will be used for data manipulation and analysis, complementing the SQL-intensive tasks.
Skills that matter here
- SQL: Advanced SQL skills are essential for complex window functions and optimizing heavy queries on large datasets.
- Python: Python, along with Pandas and NumPy, will be used for data analysis and manipulation.
- BI systems: Experience with BI systems is expected for reporting and visualization of analytical insights.
- Git: Git will likely be used for version control of analytical scripts and projects.
- Hadoop: Understanding of Hadoop suggests working with large-scale data processing environments.
- Airflow: Airflow implies involvement in orchestrating and scheduling data pipelines and analytical workflows.
Who this role suits
- A data analyst with at least three years of experience in product or commercial analytics, specifically within the iGaming domain.
- Someone who thrives on optimizing complex SQL queries and understands columnar DBMS for large data volumes.
- An individual who can design effective metrics and A/B tests to generate actionable business insights.
- A professional comfortable collaborating with data engineers to define requirements for new data marts.
From the employer
Requirements
- At least three years of experience in product or commercial analytics;
- Experience with DWH data marts and understanding of their construction principles;
- Advanced SQL skills (complex window functions, optimization of heavy queries);
- Experience in setting tasks for data engineers for new data marts and exports;
- Experience in designing metrics and A/B test design;
- Understanding of the logic of columnar DBMS for working with large data sets.
Questions about this role
What is the remote work policy for this role?
This position is fully remote.
What level of seniority is this position?
This is a Middle Data Analyst role.
What are the key technical skills required?
Key technical skills include advanced SQL, Python with Pandas and NumPy, experience with DWH data marts, and familiarity with BI systems, Git, Hadoop, Spark, and Airflow.
✓ Drop your CV once, then continue to the employer's application form. Your profile stays here for every recruiter hiring on igamingjobs.