Fractal

Senior Consultant, Product Analytics & Business Intelligence

Bengaluru
SQL Tableau Looker Power BI dbt Airflow
Description

Senior Consultant - Product Analytics & BI

Location: Bengaluru

Time Type: Full time

Job Description

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

About Fractal  

Fractal is a globally recognized Enterprise AI company with a vision to power human decision in the enterprise. Fractal employs over 5,000 professionals across global locations, including the United States, Canada, UK, Netherlands, Ukraine, India, Singapore, South Africa, UAE, and Australia. It has consistently earned recognition as one of India’s Best Companies to Work For (Top 100, 2025), a ‘Great Workplace’ for eight consecutive years, and among ‘India’s Best Workplaces for Women’ for five years running by the Great Place to Work® Institute. Fractal was also named a Leader in the 2025 Forrester Wave™ for Customer Analytics Service Providers and earned leadership positions in the Everest Group Peak Matrix Assessment 2025 for AI and Analytics Services, and Information Services Group’s 2024 assessments for Data Engineering and Data Science Services. 

About the team  

As a Senior Consultant, you will be a member of a high-performance analytics team. This role is designed for a technical practitioner who thrives on autonomy and enjoys the intersection of data engineering and visual storytelling. You will navigate a dynamic environment characterized by 60% Advanced Business Intelligence and 40% Data Engineering & Exploratory Analytics. Rather than simply executing tasks, you will be expected to provide technical consultation, refine project scopes, and ensure that every deliverable meets the highest standards of analytical rigor. 

Key Responsibilities 

  • Strategic Visualization: Lead the end-to-end lifecycle of complex dashboard suites. You will be responsible for the UX/UI strategy, ensuring visualizations provide intuitive answers to critical product questions. 

  • Pipeline & Logic Stewardship: Manage and edit data pipelines to support reporting needs. You will proactively identify and resolve upstream data issues, ensuring the underlying architecture is as robust as the front-end display. 

  • Proactive Analysis: Conduct deep-dive Exploratory Data Analysis (EDA) to identify product trends. You are expected to look beyond the immediate request to uncover the "why" behind the data. 

  • Agile Partnership: Work within two-week sprints, actively contributing to project planning and estimation. You will provide technical push-back and alternative solutions when a request can be optimized for better performance or clarity. 

  • Analytical Integrity: Own the validation of your work. You will implement rigorous QA processes to ensure data consistency across multiple platforms and stakeholders. 

Core Competencies 

  • Advanced SQL - Expert-level query optimization and the ability to navigate large-scale, decentralized data environments. 

  • BI Architecture - Mastery of Tableau, Looker, or Power BI, with a focus on scalable design and user-centric interactivity.   

  • Data Engineering  - Proficiency in editing ETL/ELT pipelines (e.g., dbt, Airflow, SQL-based transformations) to ensure data readiness. 

  • Technical Intuition - The ability to translate ambiguous business requirements into precise technical specifications.   

  • Communication  - High-fidelity English communication skills, capable of explaining complex technical trade-offs to US-based stakeholders. 

Qualifications 

  • 5+ years of experience in a Data Analytics, BI, or Data Consulting role. 

  • Proven track record of supporting US-based clients or global product teams from an offshore environment. 

  • Bachelor’s or Master’s degree in a quantitative field (e.g., Engineering, Statistics, or Computer Science). 

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Hiring Related Queries

India: [email protected]

Outside India: [email protected]

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Fractal
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