Analytics Engineer - Finance

Snowflake; Maharashtra; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Snowflake in Pune is seeking an Analytics Engineer to join the Finance Analytics Engineering team. You will build and maintain data infrastructure to power reporting and analysis for the Finance organization, impacting Snowflake’s success as a company.

You will work with SQL, Python, Snowflake, dbt and Airflow, translating requirements into data models, performing QA, and partnering with IT and stakeholders to source data from key business systems.

Qualifications

• 3+ years of experience working as an analytics, data, or BI engineer.
• Advanced SQL skills with experience building data infrastructure for large-scale relational datasets.
• Experience using Python to parse, structure, and transform data.
• Experience with MPP databases such as Snowflake, Redshift, BigQuery, or other relevant technologies.
• Ability to communicate effectively with a wide range of stakeholders.
• Ability to prioritize and execute tasks in a high-pressure, changing environment.
• Creative thinking to solve problems and drive improvements.
• Detail-oriented with a drive for quality and structured solutions.
• Bias for action and willingness to drive organizational improvements.

Responsibilities

• Use SQL, Python, Snowflake, dbt, Airflow and other systems to build and maintain data infrastructure for reporting, analysis and automation.
• Perform data QA and develop automated testing procedures for Snowflake data models.
• Translate reporting and analytics requirements into data model specs.
• Collaborate with IT and stakeholders to source data from key business systems.
• Architect flexible, performant data models to support multiple use cases.
• Contribute to data governance strategies, permissions, security models, lineage and definitions.
• Meet with Finance BI and technical leads to define requirements and plans.
• Create and maintain user-friendly documentation for data models and metrics.
• Identify weaknesses in data and processes and drive improvements.

Skills

Advanced SQL

Python

MPP databases

Communication

Prioritization

Creative problem solving

Attention to detail

Data/process improvement

Action bias

Tools

Snowflake

dbt

Airflow

Job description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

About Snowflake

Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a global, world-class organization with offices in more than a dozen countries and serving many more.

This role requires in-person attendance in our Pune office at least 3 days per week

Job Description

We are looking for an Analytics Engineer to join our growing Finance Analytics Engineering team. In this role, you will drive value and empower decision-making by developing and maintaining the data infrastructure which fuels reporting and analysis for the Finance organization and has a direct impact on Snowflake’s success as a company. As an Analytics Engineer, you will be responsible for the following:

• Use SQL, Python, Snowflake, dbt, Airflow, and other systems while working within an agile development model to build and maintain data infrastructure for use in reporting, analysis, and automation
• Perform data QA and develop automated testing procedures for use with Snowflake data models
• Translate reporting, analysis, and automation requirements into data model requirements and specifications
• Work with IT and other technical stakeholders to source data from key business systems and Snowflake databases
• Architect flexible, performant data models that will support a wide range of use cases while driving the organization towards single sources of truth
• Provide input into data governance strategies and frameworks including permissions and security models, data lineage systems, and data definitions
• Meet regularly with Finance BI and technical leads to define requirements, formulate project plans, provide status updates, and perform user testing and QA
• Build and maintain user friendly documentation for data models and key metrics
• Identify weaknesses in processes, data, and systems, and drive organizational improvements within the Analytics Engineering team

What You Will Need

Required skills

• 3+ years of experience working as an analytics, data, or BI engineer
• Advanced SQL skills with experience standardizing queries and building data infrastructure involving large-scale relational datasets
• Experience using Python to parse, structure, and transform data
• Experience with MPP databases such as Snowflake, Redshift, BigQuery, or other relevant technologies
• Ability to communicate in an effective and efficient manner while working with a wide range of stakeholders
• Ability to prioritize and execute tasks in a high-pressure, constantly changing environment
• Ability to think creatively to solve problems
• An impulse for introducing structure and simplicity into vague, complex problems
• An obsession for detail and quality
• An ability to identify weaknesses in data and process, and a willingness to drive improvement
• A bias for action

Preferred skills

• Experience with ERP and Financial Planning tools
• Experience using Python to parse, structure, and transform data
• Experience working with CI/CD pipelines
• Experience leading or working within a scrum, sprint, or other agile framework
• Past experience supporting product or product finance stakeholders
• Experience working with cost attribution models for SaaS products and tying products out to CSP cost reports
• Familiarity with cloud cost management and understanding of cost structures in cloud environments (e.g. FOCUS Framework)
• Demonstrated experience in cloud computing platforms (e.g., AWS, Azure, Google Cloud)

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.