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Data & Analytics jobs

Data engineers, scientists, analysts and BI developers who turn data into decisions.

A data & analytics worker collects, cleans, models and presents data so that teams can act on facts — building pipelines, dashboards, reports and statistical or machine-learning models. Strong SQL, a scripting language and the judgement to ask the right question are the core of the role. Employers hire for this role in every market — India, the Gulf, Europe, North America, Southeast Asia, Africa and Australia — on site, hybrid and remote, and GoodProfile is open to candidates and companies anywhere in the world.

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Live data & analytics openings

  • Marketing Data Analyst

    SK ASSOCIATION sponcer by Tranzindia network corporate private limited company · Chennai, India · Remote · full-time

  • Data Analyst

    SK ASSOCIATION sponcer by Tranzindia network corporate private limited company · Chennai, India · Remote · full-time

15 data & analytics roles

Open the role you do for its own page — the work, the skills employers ask for, and live openings.

Skills employers look for

Qualifications & certificates

Where data & analytics workers are hired

How to get hired as data & analytics workers

  1. 1Create your free profile with your trade, skills, certificates and years of experience — this is what recruiters search.
  2. 2Build or upload your resume. The free builder makes an ATS-friendly PDF in minutes; imported PDFs are read automatically.
  3. 3Apply to openings in one click, and set your city and preferred locations so matching jobs are pushed to you.
  4. 4Stay findable. Employers search candidates directly on GoodProfile — a complete profile is how they reach you, even before a job is posted.
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Frequently asked questions

Which tools should a data & analytics worker know first?

SQL above everything, then one BI tool and one scripting language. Cloud data platforms (BigQuery, Snowflake, Databricks) are the next step and are asked for in most senior openings.

Is this role hired remotely?

Often. Many data teams are distributed; add remote to your preferred locations to see those openings.

How do I stand out?

Show outcomes — the decision your analysis changed, the pipeline you built and its scale. Put those on your GoodProfile resume, not just tool names.

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