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Data Analyst

Acurus Solutions Private Limited Verified employer

Full time
Location
India
Work mode
Not stated
Salary
₹11L – ₹25L a year estimatetypical for IT Jobs in India, 852 posts
Posted 1 year ago Last checked 1 hr ago

Free · takes a minute · your resume fills your profile

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Role at a glance

You will
  • The candidate should have the ability to work with large datasets, perform data analysis, generate reports, and support business teams with…
  • Extract, analyze, and interpret data from databases and Excel files.
  • Develop and maintain operational and management reports.
Must-have skills
Data Structures & AlgorithmsMS ExcelMySQLPivot TablesReconciliationSQL

How well do your skills match this job?

Sign in to see your fit: the skills, experience and location this job asks for, checked against your profile.

Job description

Location: Royapettah, Tamil Nadu, India
Department: Data

Job Opening – Data Analyst

Department: Data & Analytics


Role: Data Analyst

Job Overview

We are looking for a detail-oriented Data Analyst with strong Excel skills and basic to intermediate knowledge of MySQL. The candidate should have the ability to work with large datasets, perform data analysis, generate reports, and support business teams with meaningful data insights.

Required Skills

  • Microsoft Excel – Expertise required
    • Advanced Excel formulas and functions.
    • VLOOKUP, XLOOKUP, INDEX-MATCH, SUMIF, COUNTIF, etc.
    • Pivot Tables and Pivot Charts.
    • Data cleaning, validation, formatting, and reconciliation.
    • Working with large datasets and preparing MIS reports.
    • Conditional formatting and basic Excel automation.
  • MySQL – Basic to Intermediate
    • Knowledge of SQL queries and database concepts.
    • SELECT, WHERE, GROUP BY, ORDER BY, JOINs, and aggregate functions.
    • Ability to write queries to extract and analyze data.
    • Understanding of table relationships and data structures.

Key Responsibilities

  • Extract, analyze, and interpret data from databases and Excel files.
  • Develop and maintain operational and management reports.
  • Perform data validation and reconciliation across multiple data sources.
  • Identify data discrepancies and support root-cause analysis.
  • Maintain accuracy and consistency across reports and datasets.
  • Support automation and process improvements in reporting activities.

Preferred Skills

  • Basic knowledge of SIGMA computing, Snowflake, Power BI, Tableau, or any BI reporting tool.
  • Exposure to healthcare or revenue cycle management (RCM) data is an advantage.
  • Basic understanding of data visualization and reporting concepts.

Key skills

Required

Data Structures & AlgorithmsMS ExcelMySQLPivot TablesReconciliationSQL

Preferred

Data VisualizationPower BITableauSnowflake

Job market insights

564active Data Structures & Algorithms jobs in India
1,261active MS Excel jobs in India
481active MySQL jobs in India
₹11L – ₹25L advertised yearly salary for IT Jobs in India (middle half of 852 posts that show a salary; median ₹17L)

Jobs asking for Data Structures & Algorithms in India also ask for

  • Python43%
  • Java37%
  • SQL30%
  • CI/CD28%
  • AWS27%

From live job posts on CoreHRx, updated 12 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Data Analyst job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹11L – ₹25L a year (typical for IT Jobs in India, 852 posts).

What kind of job is this?

It is a full time job.

This guide is for Indian job seekers preparing for SQL rounds in data analyst, data engineer, backend developer and database roles, from freshers to experienced professionals. It has 60 questions in three levels: easy covers joins, grouping and NULLs; medium covers window functions, CTEs, indexes and isolation levels; hard covers locking, MVCC, query tuning and classic puzzles such as login streaks and medians. Answers use ANSI SQL, with MySQL 8 and PostgreSQL notes where the two differ. Write each query against your own sample tables first, then compare your result with the sample answer.

Questions you may be asked

  1. What is the difference between WHERE and HAVING?
  2. What is the difference between DELETE, TRUNCATE and DROP?
  3. What is the difference between an INNER JOIN and a LEFT JOIN?
  4. What is the difference between a primary key and a unique key?

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