Job Description

1. Analyze small and large volumes of internal data to produce meaningful insights that support business decisions.

2. Explore internal datasets to identify potential use cases and insights that can be packaged for external partners as part of data monetization initiatives.

3. Work closely with commercial teams to understand their objectives and recommend data-based solutions.

4. Prepare reports and analysis on core telecom KPIs, including customer acquisition, churn, recharges, and campaign performance.

5. Support marketing and commercial campaigns through structured testing approaches such as A/B testing.

6. Apply basic statistical and analytical techniques to answer business questions.

7. Independently manage assigned tasks and projects, taking ownership from analysis through to delivery.

Skills Required

1. Bachelor's in Computer Science / Data Science / IT / Engineering



2. Strong ability to clean, prepare, and work with data using SQL and big-data tools such as Hive, Impala & Spark. Python experience will be a plus.



3. Experience in building analytical and statistical models to understand and predict customer behavior.



4. Ability to present data insights in a clear and simple way using Tableau or other data visualization tools.



5. Good analytical thinking and the ability to understand what the data is saying from a business point of view.



6. Experience working with telecom data and an understanding of key telecom commercial metrics.

Requirements

Required years of experience and role level (Junior / Mid-level / Senior)

Required years of experience and role level (Junior / Mid-level / Senior)

Mid-Level 4-6 Years

Employment type (Permanent / Contract) and contract duration, if applicable

12 Month Contract Extendable

Work location:

Propose both: Onsite in Doha / Remote

Telecom experience - mandatory or preferred, and minimum years required (if applicable)

Mandatory 2 year

Mobilization timeline / expected joining date

30-45 days