Job Description

Data Analyst:

Key Responsibilities

Data Collection & Management:

Gathering raw data from diverse internal and external sources, including various databases, APIs, and web scraping techniques, involving the development and ongoing management of these databases.

Data Cleaning & Transformation (Data Wrangling):

Cleaning and transforming collected data, by addressing missing values, correcting errors, removing inconsistencies, and handling redundancies to ensure the data is in a reliable, format, which is crucial for data integrity.

Statistical Analysis & Modelling:

Fundamental statistical tools and techniques, such as understanding data distributions, performing hypothesis testing, and conducting regression analysis, to uncover trends and validate findings.

Data Visualization & Reporting:

Creation of detailed reports, dashboards, charts, and graphs that clearly visualize key trends and insights for various stakeholders. Candidate should be skilled in presenting complex data findings in an understandable way to both technical and non-technical audiences.

Supporting Decision-Making:

Provide the essential information required to guide strategic planning and improve business processes across various departments, from retail and healthcare to finance. Ensure that decisions are backed by solid data rather than solely by intuition. Evaluate existing business processes to identify inefficiencies and propose improvements.

Collaboration:

Data Analyst to collaborate with cross-functional teams to ensure that data insights are seamlessly integrated into broader business strategies.

Required Skills & Qualifications

Technical Skills:

SQL:

Excel:

Proficiency in spreadsheet programs like Excel is crucial for working with smaller, single data sheets, performing basic analyses, and creating visualizations.

Programming Languages (Python/R):

Foundational proficiency in Python and R for handling larger datasets, performing more complex statistical analyses, and automating certain tasks.

Data Visualization Tools:

Data visualization tools like Tableau and Power BI.

Analytical & Statistical Skills:

Statistical Methods:

Data Interpretation:

Quantitative Reasoning:

Soft Skills:

Problem-Solving:

Critical Thinking:

Communication:

Attention to Detail:

Business Acumen/Domain Knowledge:

Educational Background & Experience:

Typically, a Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Business Administration, Marketing, or Economics. 3-4 years of experience. Entry to mid-level positions.

Essential Technical Skills for Data Analysts

Skill Category

Specific Skills / Tools

Application in Data Analysis

Data Querying & Management

SQL (SELECT, WHERE, Aggregate Functions, JOINs, DDL/DML)

Extracting, manipulating, and managing data from relational databases for analysis and reporting.

Spreadsheet Software

Microsoft Excel

Performing basic data analysis, calculations, and creating simple visualizations for smaller datasets.

Programming Languages

Python (Pandas, NumPy), R

Handling larger datasets, performing complex statistical analyses, and automating data processing tasks.

Data Visualization Tools

Tableau, Power BI, Matplotlib, Seaborn

Creating clear, dynamic charts, graphs, and dashboards to communicate insights effectively to diverse audiences.

Statistical Software

(Often integrated with Python/R)

Applying statistical methods like hypothesis testing, regression, and descriptive statistics to validate findings and identify trends.

Job Type: Permanent

Pay: ₹500,000.00 - ₹800,000.00 per year

Benefits:

Health insurance Paid time off Provident Fund
Schedule:

Day shift
Work Location: In person