Job Description – Data & Analytics Associate (Fresher)
Job Title: Data & Analytics Associate
Experience: Fresher (0–1 Year)
Job Location: Bangalore, Karnataka
Employment Type: Full-Time
Qualification: B.E./B.Tech/BCA/MCA/B.Sc./M.Sc. in Computer Science, Information Technology, Mathematics, Statistics, Data Science, or related field
Job Summary
We are looking for a motivated and analytical Data & Analytics Associate (Fresher) to join our team. The ideal candidate should have a basic understanding of data analysis, database management, data visualization, and statistical concepts.
The candidate will be responsible for collecting, cleaning, analyzing, and interpreting data to support business decisions, identify trends, and generate actionable insights.
Key Responsibilities
Collect, organize, and analyze structured and unstructured data from various sources.
Assist in data cleaning, validation, and preprocessing.
Perform exploratory data analysis (EDA) to identify trends and patterns.
Develop reports, dashboards, and visualizations using Power BI, Tableau, or Excel.
Write basic SQL queries to retrieve and manipulate data.
Support data analysis activities using Python, R, or other analytical tools.
Assist in preparing business reports and performance metrics.
Collaborate with business and technical teams to understand data requirements.
Identify data inconsistencies and support data quality improvement.
Assist in automating routine reporting and data processing tasks.
Support database management and data integration activities.
Maintain documentation related to datasets, reports, and analytical processes.
Present analytical findings and insights to internal stakeholders.
Stay updated with emerging trends in data analytics and business intelligence.
Required Skills
Basic knowledge of data analysis and statistical concepts.
Proficiency in Microsoft Excel, including formulas, pivot tables, and charts.
Understanding of SQL and relational databases.
Basic programming knowledge in Python or R.
Familiarity with data visualization tools such as Power BI or Tableau.
Understanding of data cleaning and preprocessing techniques.
Knowledge of descriptive statistics and data interpretation.
Strong analytical and problem-solving abilities.
Good communication and presentation skills.
Attention to detail and accuracy.
Ability to work independently and collaboratively.
Preferred Skills
Familiarity with Python libraries such as Pandas, NumPy, and Matplotlib.
Basic knowledge of machine learning concepts.
Understanding of ETL (Extract, Transform, Load) processes.
Familiarity with MySQL, PostgreSQL, or SQL Server.
Knowledge of Google Analytics or business intelligence tools.
Basic understanding of cloud platforms such as AWS, Azure, or Google Cloud.
Familiarity with data warehousing concepts.
Knowledge of advanced Excel functions and Power Query.
Experience with academic projects involving data analytics or visualization.
Relevant certifications in Data Analytics, SQL, Python, or Power BI.
Eligibility Criteria
Fresh graduates in Computer Science, IT, Data Science, Statistics, Mathematics, Engineering, or related disciplines.
Candidates from other educational backgrounds with relevant analytical skills may also apply.
0–1 year of experience.
Basic understanding of data analytics and database concepts.
Strong numerical and logical reasoning abilities.
Interest in business intelligence, reporting, and data-driven decision-making.
Freshers with academic projects, internships, or certifications are encouraged to apply.
Roles & Expectations
Support data collection, analysis, and reporting activities.
Ensure accuracy and consistency in datasets.
Create meaningful dashboards and analytical reports.
Assist in identifying trends and business improvement opportunities.
Complete assigned analytical tasks within deadlines.
Collaborate effectively with cross-functional teams.
Continuously improve technical and analytical skills.
Learning & Growth…