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For engineers eyeing data

From shipping features to shipping insights. Five trait checks first.

Data science isn't just ML libraries — it's a different way of thinking. Test how your traits score against DS, ML engineering, analytics engineering, and adjacent roles. Free.

Analytical + verbal weighting

Data roles weigh analytical and verbal reasoning very differently from software engineering. The trait engine flags both — see if you actually fit before bootcamp-ing in.

Adjacent roles included

ML engineer, data analyst, analytics engineer, AI engineer — every neighbouring role ranked. The right pivot may not be 'data scientist'.

Indian DS market reality

INR salary bands by city, real Indian DS hiring funnel, sector breakdown (product vs services vs consulting). No US-LinkedIn fluff.

Careers your traits already fit

Technology

Data Scientist

Data Scientists turn messy, real-world data into decisions and shipped products. A typical week mixes SQL queries on a warehouse (Snowflake, BigQuery, Redshift), exploratory analysis in Python notebooks, building and deploying ML models (forecasting, recommenders, fraud detection, churn, NLP), and translating findings for product, growth, or finance stakeholders. In India's tech hubs, the role spans pure analytics-leaning DS at Flipkart/Swiggy/PhonePe, applied ML at FAANG-India and Razorpay/Paytm, and research-heavy DS at Microsoft Research India and pharma/genomics labs.

Peak

₹70.0L

Technology

Data Engineer

Data Engineers build and operate the pipelines that move data from source systems (apps, payments, clickstreams, logs) into warehouses and lakehouses where analysts and ML teams can use it. The day-to-day work spans designing schemas, writing batch and streaming ETL jobs, owning Airflow/Dagster DAGs, tuning Spark or dbt models, monitoring pipeline freshness and cost, and partnering with analysts and data scientists who depend on the data being correct, fresh, and explainable. In India, the role is heavily concentrated at product unicorns (Flipkart, Razorpay, Swiggy, Zomato, PhonePe, Cred), fintech and BFSI players (HDFC, Kotak, ICICI), and the GCCs of global firms (Walmart Global Tech, Goldman Sachs, JPMorgan, Microsoft) — all of whom run terabyte-to-petabyte-scale warehouses on Snowflake, BigQuery, Redshift, or Databricks.

Peak

₹60.0L

Technology

Data Analyst

Data Analysts turn raw business data into decisions. The day-to-day work spans writing SQL on a warehouse to answer specific business questions, building Tableau / Power BI / Looker dashboards that PMs and ops teams actually use, sizing a problem with quick exploratory analysis, running A/B test reads, and translating findings into 1-page memos that non-technical stakeholders can act on. In India, Data Analyst is the most common 'first analytics job' for graduates from B.Tech, BCA, B.Com, and BBA backgrounds — it sits at TCS, Accenture, Cognizant, EY-Parthenon, ZS Associates, Mu Sigma, and Tiger Analytics for the services side, and at every product unicorn (Flipkart, Swiggy, Razorpay, Cred, PhonePe, Meesho), fintech, and D2C brand on the product side.

Peak

₹40.0L

Technology

AI Engineer

AI Engineers build production systems on top of large language models — RAG search, agents, fine-tuned models, prompt-orchestration pipelines, and the evals and guardrails that keep them reliable. The work sits between traditional software engineering and applied ML: you write Python services, design retrieval pipelines (vector search, BM25, rerankers), pick or fine-tune the right base model, write evals that quantify quality, and ship features against latency and cost SLOs. In India through 2026, the role is one of the fastest-growing technical hires — concentrated at fintechs (Razorpay, Cred, Paytm), SaaS companies (Freshworks, Zoho, Postman, Atlan, Hasura), AI-native startups (Sarvam AI, Krutrim, Ola Krutrim, Yellow.ai), and the GCCs of Microsoft, Google, Adobe, and Salesforce — and pays a clear premium over generalist backend roles.

Peak

₹90.0L

Finance

Business Analyst (Finance)

Business Analysts in financial services are the bridge between business stakeholders and technology / operations teams — they gather requirements, document AS-IS and TO-BE processes, write functional specifications, run UAT, and drive change-management for projects ranging from core-banking upgrades to RBI / SEBI compliance rollouts to GST automation and digital-onboarding programmes. Distinct from a Data Analyst (who works with numbers and dashboards), the Business Analyst is process-led: they sit in workshops, run JAD sessions, write BRDs and FRDs, and shepherd projects through approval gates. In India this role is concentrated at the BFSI verticals of TCS, Infosys (Finacle, Finacle Digital), Wipro, Cognizant, Capgemini, Tech Mahindra, and at the Big-4 advisory practices (Deloitte, EY, KPMG, PwC) — supporting projects at HDFC Bank, ICICI Bank, SBI, Axis Bank, NSE, BSE, depositories, AMCs, and global banks' India captives. The career ladder runs Associate BA → BA → Senior BA → Lead / Principal BA → Practice Head / Engagement Manager.

Peak

₹35.0L

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