Data Scientist

An entry-level data analyst collects, cleans, and interprets data sets to provide actionable insights, typically using tools like Excel, SQL, and Tableau or Power BI. Responsibilities include building reports, identifying data trends, and supporting business decisions through analysis. Key skills include data manipulation, visualization, and strong communication. Coursera

Responsibilities

• Data Cleaning & Preparation: Cleaning data by removing duplicates and inconsistencies, and organizing raw data into usable formats.
• Data Analysis: Using SQL, Excel, and scripting languages (Python/R) to interpret patterns and trends in data.
• Reporting & Visualization: Creating interactive dashboards and visual reports (Tableau, Power BI, Google Data Studio) for stakeholders.
• Collaboration: Working with team members to understand business requirements and translate technical findings into actionable insights.
• Data Maintenance: Supporting the maintenance of databases and automating routine reporting processes. Reddit +5

Required Skills and Qualifications

• Technical Skills: Proficiency in SQL (querying), Excel (PivotTables, VLOOKUP), and data visualization tools.
• Analytical Skills: Ability to analyze large datasets to identify patterns.
• Communication: Strong ability to explain technical findings to non-technical audiences (storytelling with data).
• Education: Bachelor’s degree in math, statistics, computer science, or economics, though many roles accept candidates with relevant certifications and projects.

Job Types: Full-time, Part-time, Permanent, Fresher, Internship, Freelance

Pay: ₹189,593.32 - ₹257,145.80 per year

Expected hours: 40 per week

Work Location: Remote