Project Description
Data Analyst – Job Description
Overview
We are seeking a detail-oriented and analytical Data Analyst with strong expertise in data processing, visualization, and statistical analysis. The ideal candidate will have hands-on experience with tools like Python, SQL, Power BI, Tableau, and Advanced Excel to transform raw data into meaningful insights that support business decision-making.
Key Responsibilities
Collect, clean, and analyze large datasets from multiple sources
Write optimized SQL queries to extract and manipulate data
Perform data analysis using Python and libraries such as Pandas, NumPy, Matplotlib, and Seaborn
Develop interactive dashboards and reports using Power BI and Tableau
Automate repetitive data tasks and reporting processes
Identify trends, patterns, and actionable insights from data
Work closely with stakeholders to understand business requirements
Ensure data accuracy, consistency, and integrity
Perform exploratory data analysis (EDA) and statistical analysis
Create and maintain documentation for data processes and reports
Technical Skills Required
Programming: Python (Pandas, NumPy, Matplotlib, Seaborn)
Database: SQL (Joins, CTEs, Window Functions, Query Optimization)
Visualization Tools: Power BI, Tableau
Spreadsheet Tools: Advanced Excel (Pivot Tables, VLOOKUP/XLOOKUP, Power Query, Macros)
Data Handling: Data Cleaning, Data Transformation, ETL Processes
Concepts: Statistics, Data Modeling, Data Warehousing basics
Preferred Qualifications
Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field
Strong problem-solving and analytical thinking skills
Ability to communicate insights clearly to non-technical stakeholders
Experience working with real-world datasets and business scenarios
Soft Skills
Strong communication and storytelling ability
Attention to detail
Time management and multitasking
Business understanding and curiosity
Tools & Technologies
Python, SQL
Power BI, Tableau
Microsoft Excel
Jupyter Notebook / VS Code
Git (optional but preferred)