Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises.
Apollo.io provides sales and marketing teams with easy access to verified contact data for over 270 million B2B contacts, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members. Apollo.io is growing rapidly, with 900% revenue growth since 2021, and is looking for world-class talent to keep building with us.
Position Overview:
In your role 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.
Responsibilities
:
- Core Data Models: Design, develop, and maintain essential data models that will be leveraged across various business functions. Your work will ensure consistency and accuracy in the way data is represented and utilized throughout the company.
- Standards and Best Practices: Define and implement data engineering standards and best practices. Provide guidance and support to other teams to ensure adherence to these standards, promoting high-quality data processes and governance.
- Cross-Functional Collaboration: Partner with all parts of the business to understand their requirements and deliver data solutions that align with their needs while considering scalability. Facilitate effective communication and knowledge sharing across teams.
- Strategic Influence: Play a key role in shaping the future direction of the analytics infrastructure as we scale with Apollo. Provide strategic insights and recommendations to enhance the company’s capabilities and drive impact for business decision-making.
Requirements:
- Tooling experience
- 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 You’ll Love About Apollo
Besides the great compensation package and culture that thrives in openness and excellence, we invest tremendous effort into developing our remote employees’ careers. The team embraces that we have a sole purpose: to help customers maximize their full revenue potential on the Apollo platform. This mindset opens us up to a lot of creative approaches to making customers successful at scale. You’ll be a significant part of a lean, remote team, empowered to really own your role as a proactive educator.
We’re very collaborative at Apollo, so you’ll be able to lean on your teammates, even in adjacent departments, to help you achieve lofty goals. You’ll be supported and encouraged to experiment and take educated risks that lead to big wins. And, you’ll have a whole team remotely by your side to help you do it!
