JOB DESCRIPTION

This is a job description for one of Aeries’ preferred partner - Quickbase. In this role, you will be working directly for our partner – as an employee of Aeries.

THE TOP 5 REASONS TO JOIN US

Quickbase Center of Excellence:

In 2023, Quickbase set up its Center of Excellence (CoE) in partnership with Aeries – to consolidate its global operations in Bangalore, India.

This CoE is focused on providing best practices, research, support, and training.

About Quickbase

Our no-code platform lets you easily create, connect, and customize enterprise applications that fix visibility and workflow gaps without replacing a single system.

Founded in 1999, Quickbase has since become the leading application platform for dynamic work. Used for complex project and portfolio management, the platform empowers more than 6,000 customers to see, connect, and control their processes and data all in one centralized location. Named an Inc’s Best Businesses of 2022, see for yourself why Quickbase is at the forefront of business- led innovation at Quickbase.com. Quickbase – All together now.

About Aeries

Aeries is a technology services and solutions company, headquartered in Mumbai, India, with centers in USA, Mexico, Singapore, and Dubai

We enable mid-size technology product companies scale and optimize their business. At Aeries, we have various unique engagement models with our partners. One such model is this Global Technology Center that has been “Purpose Built” for Quickbase.

Job Description

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

Requirements

• 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

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