Senior Analytics Engineer Jobs

Senior Analytics Engineer

Apollo.io

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

185000.00 - 265000.00 USD / Year

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Job Description:

As a Senior Analytics Engineer, you will be responsible for implementing a scalable analytics infrastructure to empower all analytical purposes for Apollo, converting raw data into verified, well-defined, and standardized assets to empower business decision-making across all layers of the business. In this role, you will have the opportunity to work with numerous cross-functional partners in Engineering, Product, Data Science, and other key aspects of our business (i.e. GTM, G&A) to standardize critical metrics and build intuitive self-service products via the modern data stack (Snowflake, dbt, Looker, Hex). As Apollo continues to grow, data will be a critical anchor to influence our strategy and thus, this role will have high visibility, agency, and autonomy to expand qualitative analysis at enterprise scale. You will be reporting to the Manager of Analytics Engineering within the broader Business Intelligence organization.

Job Responsibility:

Core Data Models: Design, develop, and maintain essential data models that will be leveraged across various business functions
Standards and Best Practices: Define and implement data engineering standards and best practices
Cross-Functional Collaboration: Partner with all parts of the business to understand their requirements and deliver data solutions
Strategic Influence: Play a key role in shaping the future direction of the analytics infrastructure
Develop standardized, transformed, and scalable data assets (via dbt)
Build self-service analytical mechanisms (via Looker and Hex)
Work cross-functionally across Product, Ops, and Go-to-Market stakeholders to gather requirements, develop project plans, and execute high-impact work
Innovate and champion key internal BI & Analytics development workflows and productivity initiatives
Serve as a subject-matter expert regarding our data, champion data literacy, and raise the analytical capability of all folks at Apollo

Requirements:

Tooling experience
Advanced SQL development track record
Experience working with the modern data stack (Snowflake, Looker, dbt, Hex are bonuses)
Clearly established track record of modeling, transforming, and interpreting data from source to insight
Proficient in Python: data manipulation (Pandas, NumPy), automation (Airflow), and analytics (Scikit-learn, SQLAlchemy)
Data Pipeline Orchestration tooling experience (Airflow, Dagster, etc.) and Data Observability tools (Metaplane, Monte Carlo, Datahub, etc.)
Sound understanding of the SaaS industry and it’s levers of impact, bonus for PLG company understanding (LTV:CAC, Activation levers, Conversion Rates (self serve vs. sales-led))
Ability to think objectively, especially when approaching new project, and not be swayed by personal or client bias
Great time management skills
Excellent written and oral communication skills to summarize insights, design data assets, and provide recommendations to audiences of varying levels of technical sophistication

What we offer:

equity
company bonus or sales commissions/bonuses
401(k) plan
at least 10 paid holidays per year, flex PTO, and parental leave
employee assistance program and wellbeing benefits
global travel coverage
life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Additional Information:

Job Posted:
December 19, 2025

Employment Type:

Fulltime

Work Type:

Remote work

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