Sr Analytics Engineer

Quickbase

Bengaluru

On-site

INR 4,000,000 - 5,600,000

Full time

14 days+

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Benefits offered by this job

Modern Health

Group Medical Insurance

Night Shift Allowance

Hybrid Work Allowance

Mobile and Internet Allowance

Meal Benefit

Office Transportation

On-Call Weekend Allowance

Weekend Working Allowance

Employee Referral Bonus

Job summary

Quickbase is seeking a Senior Analytics Engineer to shape and strengthen the analytics foundation, defining modeling standards and evolving our BI platform. You will drive enterprise metrics, ensure structured data for decision making, and operate independently amid ambiguity while translating business problems into durable data solutions.

You will lead BI governance, architecture, and cross-functional collaboration, with a focus on scalable data models, AI-enabled analytics, and transparent,

Qualifications

6+ years of experience in analytics engineering or data engineering.
Deep experience with Power BI administration and dataset modeling
Strong hands‑on experience with Snowflake and dbt
Advanced SQL with demonstrated performance tuning expertise
Experience with Git-based workflows and CI/CD practices
Proven experience designing and governing business metrics

Responsibilities

Lead administration and continuous improvement of the Power BI environment.
Define governance, security, modeling, and deployment standards.
Design reusable, scalable datasets that promote metric consistency across teams.
Improve platform performance, reliability, and cost efficiency.
Architect and implement dimensional models in Snowflake using dbt.
Build durable analytics layers aligned to core revenue and operational domains.
Ensure strong alignment between warehouse structures and reporting logic.
Embed testing, documentation, and performance optimization into standard engineering practice.
Define and formalize KPI logic with clear business definitions and ownership.
Maintain consistency of metrics across tools, systems, and reporting surfaces.
Resolve conflicting definitions through structured analysis and stakeholder alignment.
Strengthen transparency and trust in enterprise data assets.
Treat AI as a core capability in modern analytics, leveraging it to deliver high-quality solutions with greater speed and rigor.
Design data models and governance patterns that enable the organization to safely and effectively leverage AI with trusted data.
Integrate AI into analytics workflows to accelerate modeling, validation, documentation, and insight generation.
Apply disciplined judgment when evaluating AI-generated outputs, ensuring enterprise standards for accuracy and consistency.
Establish practical guardrails for responsible AI usage across both engineering and business consumption.
Translate complex and ambiguous business questions into scalable data solutions.
Communicate technical tradeoffs clearly to both technical and business stakeholders.
Introduce platform and process improvements and drive them through implementation.
Influence data standards across the Data & Analytics function.

Skills

Analytics engineering

Power BI

Snowflake

dbt

SQL

Git CI/CD

Metrics governance

Tools

Snowflake

dbt

Git

Job description

Key Responsibilities

At Quickbase, we help organizations build better ways to run their operations. Our products give teams the flexibility to create applications around how their work actually happens, connecting people, information, and processes so they can keep work moving as needs change.

For more than 25 years, organizations have turned to Quickbase to solve operational challenges that off-the-shelf software wasn't built for. Today, we’re building on that foundation with new products and new possibilities for how people create, adapt, and improve the systems their work depends on.

Working at Quickbase means helping find better ways forward. We’re a team of curious, collaborative people who care about solving problems, learning as we go, and building things that make work better for our customers and each other.

Senior Analytics Engineer

Data & Analytics

About The Role

We are hiring a Senior Analytics Engineer to shape and strengthen the analytics foundation that drives company performance. This is a senior individual contributor role with meaningful influence. You will define modeling standards, evolve our BI platform, formalize enterprise metrics, and ensure data is structured to support confident decision making across the organization. Success in this role requires more than technical execution. You will be expected to operate independently, bring structure to ambiguity, challenge unclear assumptions, and translate complex business problems into durable data solutions.

Key Responsibilities

BI Platform Leadership

Lead administration and continuous improvement of the Power BI environment
Define governance, security, modeling, and deployment standards
Design reusable, scalable datasets that promote metric consistency across teams
Improve platform performance, reliability, and cost efficiency

Analytics Modeling and Architecture

Architect and implement dimensional models in Snowflake using dbt
Build durable analytics layers aligned to core revenue and operational domains
Ensure strong alignment between warehouse structures and reporting logic
Embed testing, documentation, and performance optimization into standard engineering practice

Enterprise Metric Governance

Define and formalize KPI logic with clear business definitions and ownership
Maintain consistency of metrics across tools, systems, and reporting surfaces
Resolve conflicting definitions through structured analysis and stakeholder alignment
Strengthen transparency and trust in enterprise data assets

AI-Enabled Analytics

Treat AI as a core capability in modern analytics, leveraging it to deliver high-quality solutions with greater speed and rigor
Design data models and governance patterns that enable the organization to safely and effectively leverage AI with trusted data
Integrate AI into analytics workflows to accelerate modeling, validation, documentation, and insight generation
Apply disciplined judgment when evaluating AI-generated outputs, ensuring enterprise standards for accuracy and consistency
Establish practical guardrails for responsible AI usage across both engineering and business consumption

Cross-Functional Partnership

Translate complex and ambiguous business questions into scalable data solutions
Communicate technical tradeoffs clearly to both technical and business stakeholders
Introduce platform and process improvements and drive them through implementation
Influence data standards across the Data & Analytics function

What We Look For

Ability to operate independently in complex, evolving environments
Clear and structured communication
Strong analytical reasoning and disciplined problem solving
Ownership mindset with focus on measurable business outcomes
Willingness to challenge assumptions constructively
High standards for data quality, logical rigor, and validation

Qualifications

6+ years of experience in analytics engineering or data engineering
Deep experience with Power BI administration and dataset modeling
Strong hands‑on experience with Snowflake and dbt
Advanced SQL with demonstrated performance tuning expertise
Experience with Git-based workflows and CI/CD practices
Proven experience designing and governing business metrics

Preferred

Experience in SaaS or subscription‑based businesses
Experience working with global stakeholders
Python for automation or platform tooling

Impact

The standards and models established in this role will directly influence revenue visibility, operational efficiency, and decision making. The quality of this foundation will determine how effectively the organization leverages both trusted data and AI to drive performance.

Important Notices

Recorded Interviews.

Quickbase uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription.

Interview Integrity.

AI is part of how we work at Quickbase — we expect you to use it too. Your application and interviews should still reflect you and your own thinking. We’ll tell you when AI is encouraged throughout the selection process. Misrepresentation at any stage may result in removal from consideration for this and future roles.

How We Review Applications

We use AI throughout our hiring process to help review, screen, schedule interviews, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person.

Equal Opportunity Statement

Quickbase is committed to building a diverse and inclusive workplace. We encourage candidates from all backgrounds to apply – even if you don’t meet every qualification listed. We are proud to be an equal opportunity employer.

Benefits