Senior Analytics Engineer

Job not on LinkedIn

October 27

Apply Now
Logo of Apollo.io

Apollo.io

B2B • SaaS • Artificial Intelligence

Apollo. io is an all-in-one sales platform designed to streamline and enhance sales operations from lead generation to deal management. The platform offers tools for contact and account search, scores and signals analysis, inbound optimization, sales engagement, and more, leveraging AI and a living data network for comprehensive sales intelligence. Apollo. io is ideal for sales professionals, marketers, and revenue operations teams aiming to enhance productivity and efficiency by automating workflow tasks and integrating CRM systems. With a focus on improving sales performance through analytics and conversation intelligence, Apollo. io helps businesses find the right leads at the right time, nurture those leads effectively, and close deals efficiently.

📋 Description

• Design, develop, and maintain essential data models that will be leveraged across various business functions. • Define and implement data engineering standards and best practices. • Partner with all parts of the business to understand their requirements and deliver data solutions that align with their needs while considering scalability. • Play a key role in shaping the future direction of the analytics infrastructure as we scale with Apollo.

🎯 Requirements

• 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 its 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.

🏖️ Benefits

• 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

Apply Now

Similar Jobs

October 24

Cribl

501 - 1000

☁️ SaaS

Data Insights Engineer at Cribl focusing on developing high-quality UI solutions using React and JavaScript. Joining a remote-first team to create scalable and intuitive data visualizations.

JavaScript

React

TypeScript

October 24

Data Solutions Engineer helping design and develop data pipelines for analytics and AI workflows at Higher Logic. Critical role in building data warehouse and enabling AI capabilities across the organization.

AWS

ETL

Postgres

Terraform

October 24

Analytics Engineer at Fetch leveraging data for advertising technology with leadership on data infrastructure. Architecting scalable pipelines to support monetization and client needs in a fast-paced environment.

Airflow

Amazon Redshift

BigQuery

Cloud

Python

SQL

Go

October 23

Senior Analytics Engineer designing and maintaining data models for Consensys. Collaborating with data teams to translate data into business-ready insights.

Amazon Redshift

BigQuery

Cloud

Python

SQL

Tableau

October 23

Staff Analytics Engineer at Netflix developing analytics frameworks for Live Events. Collaborating with cross-functional teams to optimize viewer engagement and strategic decisions.

Airflow

Apache

Python

SQL

Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com