Kovilpalayam Coimbatore Tamil Nadu Business data analyst / business intelligence engineer Jobs – 3 Open Jobs Today

Business Data Analyst / Business Intelligence Engineer
QuantumPulse Technologies —Coimbatore, Tamil Nadu
- ₹5,00,000 - ₹8,50,000 a year
- Full-time
- Azure
- Data analysis skills
- SQL
Quick apply
1d
Lead Engineer - Data
Presidio Networked Solutions, LLC —Coimbatore, Tamil Nadu
- Azure
- SQL
- Bachelor's degree
Large Language Model Architect
Accenture —Coimbatore, Tamil Nadu
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree

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Business Data Analyst / Business Intelligence Engineer
QuantumPulse Technologies —Coimbatore, Tamil Nadu
*Experience:* 3 to 5 years in business data analysis, business intelligence, or product analytics. In this role, you will bridge raw operational data and…
₹5,00,000 - ₹8,50,000 a year
Quick apply
1d
Data Analyst
VISION GLOBAL ITES PRIVATE LIMITED —Coimbatore, Tamil Nadu
Collect, analyse, and interpret data to support business objectives and decision-making. Pay: ₹20,000.00 - ₹25,000.00 per month.
₹20,000 - ₹25,000 a month
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Business Data Analyst / Business Intelligence Engineer

QuantumPulse Technologies
Coimbatore, Tamil Nadu

Quick apply

Job details

Permanent | Full-time
₹5,00,000 - ₹8,50,000 a year
1 day ago

Benefits

Provident Fund

Qualifications

Google Analytics Certification
Power BI
Data modelling
Azure
Data mining
Business intelligence
NumPy
R
Data analysis skills
Tableau
SQL
Pandas
Customer segmentation
AWS
Machine learning
PostgreSQL
Data analytics
Macros
VBA
Redshift
Data warehouse
Python
Analytics

Full job description

Job Title:Business Data Analyst / Business Intelligence Engineer

Company Name: Quantum Pulse Technologies

Job Type: Full-Time (On-site)

Experience Level:4 to 7 Years

Job Overview

Quantum Pulse Technologies is looking for an analytical and detail-oriented Business Data Analyst to join our growing analytics team at the SECE Innovation Hub, Coimbatore. In this role, you will bridge raw operational data and executive decision-making by turning complex business datasets into clear, actionable insights. You will design interactive dashboards, build analytical data models, analyze market/product performance, and partner with cross-functional product, finance, and engineering teams to drive data-informed business strategies.

Key Responsibilities

Business Reporting & Dashboards: Design, develop, and maintain high-impact executive dashboards and automated reports using tools like Power BI, Tableau, or Looker.
Data Mining & ETL Pipelines: Query large, multi-source relational and non-relational databases to extract, clean, and model structured data for business intelligence (BI) operations.
Business Performance Analysis: Perform ad-hoc analysis, exploratory data analysis (EDA), trend forecasting, and cohort analysis to evaluate product growth, operational efficiency, and revenue metrics.
Stakeholder Collaboration: Work closely with product managers, marketing teams, and leadership to identify key business metrics (KPIs), translate ambiguous business problems into technical requirements, and deliver data stories.
Statistical Modeling& Forecasting: Apply statistical methods, regression analysis, and predictive modeling techniques to identify trends, forecast business growth, and optimize operational resource allocation.
Data Quality & Governance: Establish processes for data hygiene, validation rules, and consistency across internal reports, data warehouses, and BI tools.
Process Automation: Automate routine data processing and reporting tasks using SQL procedures, Python, or R to reduce manual intervention.
Architected internal project requirements and facilitated high-impact training programs to upskill enthusiastic internal talent.

Required Skills & Qualifications

Core Technical Skills:

Experience: 3 to 5 years in business data analysis, business intelligence, or product analytics.
Advanced SQL: Expertise in complex SQL queries, window functions, CTEs, query optimization, and schema design.
BI & Visualization Tools: Proficiency in Power BI, Tableau, Looker, or Metabase for building production-grade dashboards.
Data Analytics Languages: Hands-on experience with Python (Pandas, NumPy, Matplotlib, Seaborn) or R for statistical analysis and data manipulation.
Data Warehousing: Working knowledge of modern data warehouses such as Snowflake, Google BigQuery, AWS Redshift, or PostgreSQL.
Spreadsheets: Mastery of Excel/Google Sheets (VBA/Macros, Pivot Tables, Power Query) for rapid data modeling.

Soft Skills:

Excellent data storytelling skills with the ability to articulate technical insights clearly to non-technical business partners.
Strong business acumen and problem-solving mindset.
Ability to manage multiple analytical projects simultaneously in a fast-paced environment.

Preferred / Good-to-Have Skills

Relevant analytics certifications (e.g., Microsoft Certified: Power BI Data Analyst, AWS Certified Data Analytics, or Google Data Analytics Certification).
Experience with cloud data platform analytics tools (AWS, Azure, or GCP).
Exposure to machine learning concepts or predictive analytics frameworks.

Benefits & Work Environment

Working inside the technology ecosystem of the SECE Innovation Hub, Coimbatore.
Competitive compensation package aligned with industry standards.
Access to continuous learning programs, mentorship, and career growth opportunities.

Pay: ₹500,000.00 - ₹850,000.00 per year

Benefits:

Provident Fund

Work Location: In person

Quick apply

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