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:
Work Location: In person
