Analytics Engineer

StellarMettle Placements is looking for an Analytics Engineer to build scalable, high-quality data models that power Sales and Revenue insights. This role sits at the intersection of data engineering and business intelligence, partnering closely with Sales Ops and GTM leadership to deliver trusted, actionable analytics.

RESPONSIBILITIES

Design and build performant analytical datasets using advanced SQL and modern modeling practices

Develop and maintain data models in DBT, including testing, documentation, and lineage

Optimize data workflows within Snowflake, balancing performance and cost efficiency

Translate Sales/Revenue business requirements into scalable data products and dashboards

Support CI/CD-driven analytics development (version control, code reviews, deployment pipelines)

Deliver executive-ready reporting for pipeline, forecasting, quota attainment, and revenue performance

REQUIRED EXPERIENCE

5+ years in Analytics Engineering, Data Engineering, or advanced BI within a modern data stack

Advanced SQL expertise with strong data modeling fundamentals (star/snowflake schemas, fact/dimension design, incremental models, medallion architecture)

Hands-on experience with DBT (or equivalent transformation frameworks)

Experience with Snowflake or similar cloud data warehouses (performance tuning, cost optimization)

Proven ability to partner with business stakeholders and deliver trusted analytical assets

Experience working in CI/CD-enabled data environments

Experience supporting Sales Ops, RevOps, or Commercial Analytics teams

Experience modeling CRM data (e.g., Salesforce)

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