Job Description – Data Analyst

Job Overview

We are hiring a Data Analyst on behalf of our client to collect, process, analyze, and interpret data to generate meaningful business insights. The ideal candidate should have strong analytical and problem-solving skills, along with knowledge of SQL, MS Excel, and data visualization tools. This is an excellent opportunity for freshers and early-career professionals who are interested in transforming raw data into actionable business recommendations.

Roles and Responsibilities

Collect, clean, and organize data from multiple internal and external sources.
Analyze datasets to identify trends, patterns, and valuable business insights.
Write, execute, and optimize SQL queries to extract and analyze data.
Develop and maintain interactive dashboards and reports using Power BI, Tableau, or similar tools.
Create charts, graphs, and visualizations to communicate analytical findings effectively.
Monitor key performance indicators (KPIs) and prepare regular performance reports.
Support business teams by handling data-related queries and ad-hoc analytical requests.
Ensure data accuracy, consistency, completeness, and quality across reports.
Collaborate with product, marketing, finance, and operations teams to understand business requirements.
Document data processes, reporting standards, and metric definitions.
Use statistical techniques to interpret data and support informed decision-making.

Preferred Candidate Profile

Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related field.
0–2 years of experience in data analysis, reporting, or a related role. Internships are also considered.
Strong knowledge of SQL for data extraction and analysis.
Proficiency in MS Excel, including formulas, Pivot Tables, VLOOKUP, and XLOOKUP.
Familiarity with data visualization tools such as Power BI, Tableau, or Looker.
Basic knowledge of Python or R for data analysis.
Understanding of statistics, data interpretation, and analytical methods.
Strong analytical thinking and problem-solving abilities.
Good verbal and written communication skills.
Ability to explain technical findings and business insights to non-technical stakeholders.

Education

UG: Any Graduate
PG: Any Postgraduate

Job Details

Industry Type: Recruitment / Staffing
Department: Data Science & Analytics
Employment Type: Full-Time, Permanent
Role Category: Data Science & Analytics – Other
Role: Data Analyst

Key Skills

SQL, Python, R, Machine Learning, MS Excel, Pivot Tables, VLOOKUP, XLOOKUP, Power BI, Tableau, Looker, Statistics, Data Cleaning, Data Analysis, Data Visualization, Dashboard Reporting, KPI Tracking, Google Analytics, Google Sheets, BigQuery, ETL, A/B Testing, AWS, Microsoft Azure, Google Cloud Platform (GCP), Communication Skills, and Problem-Solving Skills.