Data Analyst / Applied Analytics Job in Bangalore – Apply Now!

SWITS DIGITAL Private Limited; Bengaluru Urban; On-site; INR 800,000 - 1,200,000; Full time

Job summary

SWITS DIGITAL Private Limited is seeking a skilled Data Analyst / Applied Analytics in Bangalore. The role involves analyzing large datasets, applying machine learning algorithms, and designing interactive dashboards using Tableau. Candidates should have experience with SQL and Python, along with a Bachelor’s degree in a relevant field.

This on-site position offers strong career growth opportunities in data science, business intelligence, and cloud data engineering.

Qualifications

• 3–5 years of hands-on experience in data analysis or applied analytics roles.
• Strong proficiency in SQL for querying and managing datasets.
• Solid experience with Python for data processing, scripting, and modelling.

Responsibilities

• Analyzing large datasets to identify trends and patterns.
• Writing optimized SQL queries for data extraction.
• Applying machine learning algorithms and statistical techniques.

Skills

Data analysis

SQL

Python

Tableau

Machine learning

Statistical analysis

Education

Bachelor’s degree in Computer Science, Data Science, or related field

Tools

Dataiku

Google Cloud Platform

Microsoft Azure

Git

Job description

Looking to advance your career in data analytics, machine learning, and business intelligence? SWITS DIGITAL Private Limited is hiring skilled professionals for a Data Analyst / Applied Analytics role in Bangalore. This is an excellent opportunity for experienced data professionals to work on real-world business problems using advanced analytics, statistical modelling, and modern data tools.

Job Overview

• Role: Data Analyst / Applied Analytics
• Location: Bangalore
• Experience Required: 3 to 6 Years
• Work Mode: On-site, Full-time
• Notice Period: Immediate to 15 Days Preferred

Key Responsibilities

As a Data Analyst, you will play a critical role in transforming raw data into actionable insights that drive strategic decisions. Your responsibilities will include:

• Analysing large datasets to identify trends, patterns, and actionable insights
• Writing optimized SQL queries for data extraction, transformation, and manipulation
• Applying machine learning algorithms and statistical techniques to solve business challenges
• Designing and maintaining interactive dashboards using Tableau
• Leveraging Python for data processing, automation, and workflow optimization
• Working with Dataiku (preferred) for data preparation and model development
• Collaborating with cross-functional teams, including engineers, analysts, and domain experts
• Communicating insights effectively to both technical and non-technical stakeholders
• Improving data pipelines, workflows, and model performance
• Maintaining clear documentation for datasets, models, and processes
• Staying updated with emerging trends in data science, analytics, and AI

Required Skills & Qualifications

To succeed in this role, candidates should have a strong foundation in data analytics and applied data science:

• Bachelor’s degree (B.E/B.Tech) in Computer Science, Data Science, Information Systems, or related field
• 3–5 years of hands‑on experience in data analysis or applied analytics roles
• Strong proficiency in SQL for querying and managing datasets
• Solid experience with Python for data processing, scripting, and modelling
• Experience in building dashboards using Tableau with best visualization practices
• Familiarity with machine learning techniques and statistical analysis
• Experience with Dataiku (preferred but not mandatory)
• Exposure to cloud platforms such as Google Cloud Platform (BigQuery) and Microsoft Azure
• Understanding of ETL/ELT processes and data quality standards
• Knowledge of Git and CI/CD workflows is an added advantage
• Strong problem‑solving, analytical thinking, and communication skills

Career Growth Opportunities

This role offers strong career progression for professionals aiming to grow in:

• Data Science & Machine Learning
• Business Intelligence & Visualization
• Cloud Data Engineering
• Advanced Analytics & AI-driven decision-making