About the role

Data Analyst - Dbt Ownership

Job Summary:

We are seeking a skilled Data Analyst to own the vital layer that supports our growth, operations, product, and client success functions. This role not only requires expertise in data engineering disciplines but also business acumen to ensure our data models and insights are trustworthy and impactful for decision-making across the organization.

Key Responsibilities:

Build and maintain scalable dbt models across staging, intermediate, and smart layers with proper testing, documentation, and version control.
Maintain and improve data products as business requirements evolve, including RevOps logic changes across models, schemas, dashboards, and MIS reporting.
Own data structures and warehouse design for assigned domains, ensuring scalability, data freshness, quality, and cost efficiency.
Ensure data accuracy and proper representation across key datasets, dashboards, MIS reports, and RevOps data flows.
Perform SQL-based root cause analysis (RCA) across data models and key organizational metrics to identify trends, root causes, performance gaps, and revenue-impacting opportunities.
Automate recurring reports, analytics workflows, and set up alerts to minimize manual data work through scalable pipelines.
Collaborate with cross-functional teams to translate business questions into clear requirements, analyses, and timely insights.

Requirements:

1+ years of relevant experience in Analytics, Business Intelligence (BI), or Data Engineering roles.
Strong SQL skills with experience writing and optimizing queries on large relational databases.
Excellent analytical and problem-solving skills with the ability to navigate complex data, schemas, ETLs, and business logic.
Experience building dbt models for warehousing that integrate data across new and legacy infrastructure.
Experience in investigating root causes and resolving data discrepancies effectively.
Strong business judgment with the ability to leverage data to influence decisions and identify growth opportunities.
Ability to decompose complex problems into executable tasks, prioritize effectively, and deliver within timelines.

Preferred Qualifications:

Hands-on experience with dbt, Python, and cloud data warehouses (Snowflake, BigQuery, Redshift), Git, or experimentation/A-B testing.
Interest or exposure to conversational AI, speech data analytics, voice agents, or contact-center metrics.

Benefits:

Competitive compensation packages designed to attract top talent.
Flexible working hours to promote work-life balance.
Opportunity for professional growth and development through continuous learning.
Diverse and inclusive work culture that values each team member's contributions.
Access to cutting-edge technologies and innovative projects.
Comprehensive health and wellness benefits tailored to your needs.
Location: Noida, with options for hybrid working arrangements.