Associate Data Analyst - Builders Program - (Emirati National)
Tamara · Dubai, United Arab Emirates
Posted about 3 months ago
or apply directly on Tamara's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Tamara's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- No 0% of Tamara's roles list one
- Ghost-job risk at Tamara
- high 32 stale, 1 reposted of 33 open
- Hiring momentum
- 61 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Tamara's own greenhouse board since 2026-08-03. Full hiring picture for Tamara.
About this role
The Associate Data Analyst role at Tamara involves transforming raw data into reliable datasets and supporting analytics across teams. You will model data, create AI-friendly data products, and ensure data quality while collaborating with engineers and product experts. The position is designed for recent graduates or those with limited experience, emphasizing hands-on responsibilities and growth in a fast-paced environment.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Tamara as an employer.
What you need
- Fresh graduate or < 1 year of relevant experience (internships, projects, or part-time roles count)
- Solid SQL fundamentals (joins, aggregations, basic window functions)
- One programming language for analysis (preferably Python) with basic skills in data manipulation (tables/dataframes)
- Basic statistics (distributions, sampling intuition, confidence basics)
- Strong analytical thinking: ability to define a problem, form hypotheses, validate data, and explain results
- Strong attention to detail and commitment to accurate, reliable outputs
Nice to have
- Exposure to data modeling concepts (star schema, slowly changing dimensions, metrics definition)
- Familiarity with modern analytics stacks (dbt, BigQuery, Snowflake, Looker, PowerBI, Tableau) through coursework or projects
- Experience creating AI-ready data assets (clean semantic layers, metric definitions, data contracts, documentation, and evaluation or sanity-check checklists)
- Experience using AI assistants responsibly to accelerate analysis or analytics engineering work (for example, SQL drafting, code scaffolding, documentation)
- Experience with version control (Git) or basic software engineering practices
Worth weighing
- Role emphasizes ownership and immediate contribution, which may be challenging for some recent graduates
- Focus on AI readiness and responsible use of AI tools may require a learning curve
- Fast-paced environment may not suit everyone, especially those looking for a more structured onboarding process
Summarised from Tamara's posting. Read the full original.
Listed by Tamara on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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