Analytics Engineer - Finance

Snowflake
Pune
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceExperience: 3+ yearsSkills: ["Communication","Prioritization","Problem-solving","Attention to detail","Data quality mindset"]

Build and maintain the data infrastructure that powers Finance reporting, analysis, and automation. You’ll use SQL, Python, Snowflake, dbt, and Airflow within an agile environment to translate BI needs into data models, perform data QA with automated testing, and architect performant models aligned to single sources of truth. Partner with Finance BI and technical leads, contribute to data governance and security models, and deliver user-friendly documentation and documentation-ready metrics.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Snowflake
Snowflake
4 days ago

Analytics Engineer - Finance

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Build and maintain the data infrastructure that powers Finance reporting, analysis, and automation. You’ll use SQL, Python, Snowflake, dbt, and Airflow within an agile environment to translate BI needs into data models, perform data QA with automated testing, and architect performant models aligned to single sources of truth. Partner with Finance BI and technical leads, contribute to data governance and security models, and deliver user-friendly documentation and documentation-ready metrics.
Location: Pune
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Build and maintain data infrastructure for Finance reporting, analysis, and automation using SQL, Python, Snowflake, dbt, and Airflow.
  • •Perform data QA and develop automated testing procedures for Snowflake data models.
  • •Translate reporting, analysis, and automation requirements into data model requirements and specifications.
  • •Source data from key business systems and Snowflake databases in collaboration with IT and technical stakeholders.
  • •Architect flexible, performant data models, contribute to data governance/security/lineage frameworks, and maintain documentation for models and metrics.

Key Requirements

  • •3+ years experience working as an analytics, data, or BI engineer.
  • •Advanced SQL with experience standardizing queries and 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, or BigQuery.
  • •Strong communication and the ability to prioritize and execute in a fast-changing, high-pressure environment.
Experience:3+ years
Skills:CommunicationPrioritizationProblem-solvingAttention to detailData quality mindset
Tech Stack:SQLPythonSnowflakeDbtAirflowRedshiftBigQueryERPCI/CDScrumAgileAWSAzureGoogle CloudFOCUS FrameworkSaaS

Company Brief

Snowflake
Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bozeman, United States
Founded: 2012
WebsiteLinkedIn