Senior Data & Analytics Manager — AI-Driven Insights

DRUM Associates; New York (NY); On-site; USD 140,000 - 170,000; Full time

Job summary

DRUM Associates is partnering with a fast-growing HR tech SaaS company in New York to reinforce its Data & Analytics team. You will help turn data into decisions by building scalable models, pipelines, and dashboards while ensuring high data quality.

You will collaborate with Product, Finance, People, and Revenue stakeholders and bring an AI-native approach to analysis. Strong SQL, Snowflake, dbt, and BI tooling are essential to success.

Qualifications

• 5+ years of experience in data engineering, analytics, BI, data governance, or related field.
• Strong SQL skills; hands-on experience with Snowflake or a comparable cloud data warehouse.
• Familiarity with modern data stack tooling: dbt, Airflow, Fivetran, or equivalents.
• Experience with a modern BI platform (Sigma, Tableau, Looker, or similar).
• Excellent communication skills — able to translate technical work for non-technical stakeholders.

Responsibilities

• Partner with stakeholders across Product, Finance, People, and Revenue to define data and analytics needs.
• Design, build, or govern scalable data models, pipelines, dashboards, or reporting frameworks.
• Champion data quality, documentation, and certification standards across the organization.
• Bring an AI-native approach to your work — using modern tooling to accelerate analysis, development, and workflows.
• Translate ambiguous business questions into structured, actionable analytical work.
• Contribute to team-wide rituals such as All Hands, data demos, and quarterly business reviews.

Skills

SQL

Stakeholder communication

Analytical thinking

Ambiguity tolerance

Data storytelling

Tools

Snowflake

dbt

Airflow

Fivetran

Sigma

Tableau

Looker

Job description

DRUM Associates is partnering with a fast-growing HR tech SaaS company in New York to reinforce its Data & Analytics team. You will help turn data into decisions by building scalable models, pipelines, and dashboards while ensuring high data quality.

You will collaborate with Product, Finance, People, and Revenue stakeholders and bring an AI-native approach to analysis. Strong SQL, Snowflake, dbt, and BI tooling are essential to success.