📍Location: Bangalore

💼Job Type: Full Time

💰Salary: ₹3,00,000 – ₹5,50,000 per annum (CTC)

🎓Qualification: B.Sc / B.Stat / B.Com with specialization in Data Analytics

🕒Experience: 0–2 Years (Freshers can apply)

📅Deadline: 2026-04-20

Freshers allowed: Yes

Preferred experience level: Fresher

Category: IT / Data Analytics

Posted: 2026-04-02 · Views: 7

Role & Responsibilities

Analytica Insights is actively looking for a Data Analyst to join their Bangalore office in 2026. This role is ideal for candidates who are passionate about working with data and turning it into actionable insights to help drive business decisions. The Data Analyst will be a key contributor to the analytics team and will work closely with management, product, and operations teams to ensure data-driven decision-making across the organization.
Key Responsibilities:
Data Collection and Cleaning
Gather structured and unstructured data from multiple internal and external sources.
Perform data cleaning and preprocessing to remove inconsistencies, duplicates, and missing values.
Ensure accuracy and reliability of datasets for analysis.
Data Analysis and Validation
Conduct exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
Validate datasets and analytical results to ensure correctness of insights.
Apply statistical techniques to understand correlations and data distributions.
Visualization and Reporting
Create interactive dashboards and visual reports using Tableau, Power BI, or Excel.
Present complex analytical findings in a clear and actionable manner to non-technical stakeholders.
Develop reports that support decision-making for management and business units.
SQL and Database Management
Write and optimize SQL queries to extract, filter, and manipulate data from relational databases.
Collaborate with database administrators to ensure proper data storage and retrieval practices.
Maintain clean, well-documented queries and analytical scripts for reproducibility.
Collaboration with Stakeholders
Work closely with cross-functional teams including Product, Operations, Marketing, and Finance.
Provide analytical support for strategic initiatives, performance monitoring, and operational efficiency.
Participate in meetings to understand business requirements and translate them into analytical tasks.
Business Optimization and Insight Generation
Identify trends, anomalies, and patterns in business data to support process improvements.
Make actionable recommendations for business growth and operational efficiency.
Support predictive analysis projects to anticipate future trends and business outcomes.
Skills & Tools Typically Used
Proficiency in SQL for data extraction and manipulation.
Hands-on experience with Tableau, Power BI, or Excel for visualization and reporting.
Familiarity with Python or R for data analysis is a plus.
Strong analytical thinking, problem-solving skills, and attention to detail.
Ability to communicate technical findings effectively to non-technical teams.

Requirements

Proficiency in SQL, Excel, and data visualization tools (Tableau / Power BI)
Understanding of statistics and data modeling
Strong analytical and problem-solving skills
Ability to communicate insights effectively to non-technical stakeholders
Attention to detail and accuracy in reporting
Basic knowledge of Python/R for data analysis is a plus

Benefits

Health insurance coverage
Provident Fund (PF) and retirement benefits
Performance-based bonuses
Professional development opportunities
Collaborative work environment with mentorship

Selection Process

The selection process for this role at Analytica Insights consists of three structured rounds designed to evaluate both technical skills and overall fit for the organization:
Aptitude Test
This round assesses the candidate’s logical reasoning, quantitative aptitude, and problem-solving abilities.
Duration: Approximately 45–60 minutes.
Format: Multiple-choice questions covering basic mathematics, data interpretation, and analytical reasoning.
Technical / Data Analysis Round
This round evaluates your data handling and analytical skills.
Candidates may be asked to work with datasets, write SQL queries, create visualizations, or solve business-related data problems.
Tools tested can include Excel, Tableau, Power BI, or Python/R, depending on the job requirements.
Duration: 60–90 minutes, including practical exercises and scenario-based questions.
HR Interview
The final round focuses on assessing cultural fit, communication skills, and career aspirations.
Questions may cover previous work experience, problem-solving approach, and team collaboration.
Duration: 20–30 minutes.