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Pune · On-site · 3-6 Yrs · 4 days ago
Enterprise Software & Network Solutions · 5001 to 10000 Employees · Bozeman, US
Snowflake makes enterprise AI easy, efficient, and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com.
Hiring: Engineering
What employees say
+ Great place to work for teco
− Frequent changes in business model
More reviews on the company profile.
Interview experience · Data Analyst
The interview was well organized, and the interviewer was professional and friendly. However, the technical assessment focused heavily on Apache Spark, which was not mentioned in the job description and wasn't part of my
Average difficulty · Bengaluru · 37 reports
More interview insightsJob description
Overview
We are looking for an Analytics Engineer to join our growing Finance Analytics Engineering team.
Responsibilities
- 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
Qualifications
- 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
- 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
- Past experience supporting product or product finance stakeholders
- 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)
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Job application FAQ
Last updated 15 September 2026
- How do I apply for Analytics Engineer - Finance at Snowflake?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Snowflake may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Analytics Engineer - Finance role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Analytics Engineer - Finance remote or on-site in Pune, Maharashtra?
- This listing is marked on_site with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Analytics Engineer - Finance role at Snowflake?
- This is a mid-level Analytics Engineer - Finance role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.