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Business Intelligence Engineer

Job in 400001, Mumbai, Maharashtra, India
Listing for: Jobgether
Full Time position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Engineering, Business Intelligence
Job Description & How to Apply Below
Position: Staff Business Intelligence Engineer
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Business Intelligence Engineer based in India.

This role sits at the core of enterprise data strategy, transforming complex datasets into scalable, reliable, and self-service analytics capabilities that empower decision-making across the organization. You will be responsible for shaping and evolving BI platforms, enabling high-quality reporting systems, and building data products that support critical business functions such as finance, sales, marketing, and operations. The position blends hands-on technical expertise with strategic ownership, requiring you to design robust BI architectures while also enabling advanced analytics and AI-driven insights.

You will work closely with data engineers, business stakeholders, and AI teams to translate analytical needs into impactful solutions. A key part of the role involves driving the adoption of self-service analytics and improving data accessibility across the organization. This is a high-impact opportunity to define how data is consumed and leveraged at scale in a remote-first, global environment.

Accountabilities

Own and evolve enterprise BI platforms, ensuring scalability, performance, governance, and long-term roadmap alignment.
Design and build reusable dashboards and reporting solutions that deliver actionable insights across multiple business functions.
Architect and implement self-service analytics solutions, enabling non-technical users to access and interpret data independently.
Develop agentic AI-driven analytics capabilities, including natural language querying and automated insight generation.
Collaborate with data engineering and business teams to translate requirements into scalable, well-documented data products.
Define and enforce BI best practices, including semantic layer design, metric standardization, and data governance frameworks.
Partner with stakeholders across Finance, Sales, Marketing, and Operations to identify high-impact analytics opportunities.
Ensure data quality, consistency, and accessibility across BI systems and reporting layers.
Drive continuous improvement of BI tools, processes, and user adoption across the organization.

Requirements

7+ years of experience in business intelligence, data analytics, or related fields, including senior/staff-level responsibilities.
Strong experience managing enterprise BI tools such as Tableau, Looker, Superset, or similar platforms.
Advanced SQL skills with strong experience in data modeling and modern data warehouses (e.g., Snowflake, Athena, or equivalent).
Proven track record of building self-service analytics solutions that reduce dependency on centralized data teams.
Experience working directly with business stakeholders to define requirements and deliver scalable analytics products.
Strong understanding of data governance, metric definition, and semantic layer design.
Familiarity with dbt or similar transformation frameworks is a plus.

Experience with Python for analytics automation or data workflows is desirable.
Exposure to AI/LLM-based analytics solutions or agentic AI systems is highly preferred.
Strong communication, stakeholder management, and problem-solving skills.

Benefits

Competitive compensation package with performance-based growth opportunities
Remote-first work environment with global collaboration exposure
Comprehensive healthcare and wellness benefits
Generous paid time off, parental leave, and flexibility programs
Retirement savings and financial well-being support programs
Opportunity to work on cutting-edge AI-powered analytics and BI platforms
Strong culture of innovation, ownership, and continuous learning

How Jobgether Works

We use an  AI-powered matching process  to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether

Data Privacy Notice:  By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made…
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