Senior Data Analyst

Data Analyst-II

Have you ever collected your own dataset simply out of curiosity? Do you enjoy asking why” and “how” to get to the core of a dataset? Have you ever helped an executive make a high-impact decision? If so, we’d love to meet you.

Key Responsibilities

• Cross-Functional Collaboration:

  Coordinate with Product Owners and Customer Managers to align deliverables with product requirements and development standards.

• Data Analysis & Growth:

  Leverage SQL to analyze complex business challenges, test hypotheses, and uncover novel opportunities for growth.

• Data Engineering & Snowflake:

  Build, refine, and maintain datasets, tables/views, and transformation workflows in Snowflake using SQL and Python.

• Modeling & Testing:

  Develop and unit test analytical data models and curated datasets.

• Code Quality:

  Implement reusable, well-structured code aligned with established architecture patterns, naming conventions, and development standards.

• End-to-End Delivery:

  Own the full lifecycle of assigned data products, supporting analytics, dashboarding, and AI/ML use cases.

• Data Quality & Documentation:

  Ensure accuracy and completeness through validation, data quality checks, discrepancy investigations, and root-cause analysis while maintaining clear documentation for downstream teams.

• Autonomy & Communication:

  Work independently with minimal supervision, translating complex technical insights into clear, actionable value for both technical and non-technical stakeholders.1

What We Are Looking For

• Education & Experience:

  Bachelor’s degree with

  3–6 years

  of relevant experience in Data Analytics, Data Engineering, Business Intelligence, or a related field.

• Core Technical Skills:

• Hands-on experience with

  Snowflake

  for data engineering and analytics.
• Proficiency in

  Python and SQL

  .

• Preferred Tools:

  Experience with

  Looker

  for data visualization and dashboard creation.

• AI Integration:

  Familiarity with developing data products for AI use cases or integrating AI into business reporting tools is a strong plus.

• Soft Skills:

  Strong analytical mindset, exceptional problem-solving abilities, high attention to detail, and a collaborative approach in a fast-paced environment.

Why Join Us?

• Comprehensive benefits and programs supporting holistic employee health.
• Growth-oriented organization with clear career pathing and development opportunities.
• A deep commitment to Diversity, Equity, and Inclusion (DEI) to ensure a welcoming environment for all team members.