Here’s a detailed breakdown of a Data Analyst job description (based on roles at companies like Bajaj Finserv Lending Ltd and similar) — you can use this as a reference to tailor your resume or prep for interviews.
To support business teams by collecting, processing and analysing data to derive actionable insights.
To build dashboards/ MIS (Management Information Systems) and reporting frameworks for decision-making.
To work on data pipelines, ETL (extract-transform-load) workflows and data integrity for the business’s analytics needs.
Write efficient SQL queries for extraction, transformation and loading of data.
Develop scripts (often in Python) for data processing, analysis and automation.
Use data platforms/tools like Databricks, Power BI, or other BI tools to build pipelines and dashboards.
Perform exploratory data analysis (EDA): find trends, patterns, anomalies; present findings.
Maintain data integrity, monitor data quality, troubleshoot data issues.
Collaborate with cross-functional teams (business, product, operations) to understand data requirements and deliver insights.
In some roles: Responsible for specific data domains (like “bureau data” in credit/finance) and drive automation of processes.
Typically a Bachelor’s degree (in IT, Computer Science, Engineering, or equivalent) though sometimes other graduates may qualify.
Core technical skills:
Proficiency in SQL (querying, creating tables/views/indexes)
Experience with ETL workflows, data pipelines
Familiarity with Python (for scripting/automation
Experience with BI tools (Power BI, dashboards)
Understanding of cloud/data platforms (Azure/AWS/GCP) is preferred.
Other skills: strong analytical mindset, problem-solving, attention to detail, good communication.
Emphasise SQL + Python + any BI tools experience (Power BI/Tableau etc).
Show ability to work end-to-end: data extraction → transformation → visualization → insight.
If you have experience with cloud platforms or large datasets, highlight it.
Demonstrate how you used data to influence business decisions or improved processes.
Include teamwork/cross-functional collaboration examples (since you’ll often interact with product/business teams).
Here are some of the benefits offered by Bajaj Finserv Limited (or companies within the group) which are relevant for a Data Analyst role (or similar), especially in India. Depending on the specific role and location, some benefits may vary.
Competitive compensation: Reviews from Data Analysts at the company rate “salary & benefits” quite highly (around 4.1/5) for the role.
Health & wellness coverage: The company provides group mediclaim (health insurance) plans and also life insurance (group term insurance) for employees.
Gratuity & retirement benefits: The company has funded gratuity schemes (for employees with continuous service of 5 years or more) as per the Payment of Gratuity Act.
Leave policy & flexible working options: The company states that employees have “generous leave policy” and flexible office options to maintain work-life balance.
Career growth opportunities: The company lists internal job transfers, promotions and up-skilling as part of its benefits program.
Wellness programmes / preventive health: Through its health arm, the company offers wellness programmes, health check-ups, partner labs for diagnostics etc.
Additional perks during situations: For example, the company covered vaccination costs for employees and their dependents during COVID-19.
For a Data Analyst role you can expect:
The competitive compensation means your technical skills (SQL, Python, BI tools) are likely to be well rewarded.
Good health and retirement benefits contribute to your long-term stability (useful if you’re in data roles which may have evolving tech demands).
Leave / flexibility and wellness programmes help maintain work-life balance (important given that data roles sometimes involve tight deadlines or crunch periods).
Career growth and internal mobility mean you can move laterally or vertically, for example into analytics-lead, data engineering or business intelligence roles.
Wellness and health cover means you and your family are supported beyond just the salary.
When you’re interviewing, you may want to ask about:
The variable compensation / bonus structure for the role — how it’s calculated, what targets you’ll have.
The typical leave policy and whether remote/hybrid work is allowed (especially relevant if you prefer flexibility).
The up-skilling / training budget — what analytics/BI/data science tools will you get training for.
The data infrastructure & team setup — for instance if you’ll be using modern tools (cloud, big data), or older ones — this affects how your “benefit” is in terms of growth.
Any geographic/relocation perks if you are moving city (if the role is in e.g., Pune, Mumbai).
Details about health & wellness benefits (for you and dependents), and the retirement/gratuity scheme (vesting period etc).
: 🏢 Company Overview Name: Bajaj Finance Limited (BFL) Founded: 1987 (as Bajaj Auto Finance Limited) Headquarters: Pune, Maharashtra, India Industry: Financial Services Type: Publicly Listed Non-Banking Financial Company... Read More