Analytics Engineer

Why Hover wants you

Hover is looking for an Analytics Engineer with strong experience in the GTM space to join our Analytics Engineering team. Sitting alongside our Data Engineering, GTM Systems, Business Analytics, and Data Science teams, you’ll be a core part of our centralized data org that partners cross functionally to enable Hover to both make the right decisions and make them happen. These data teams set Hover’s data strategy and evangelize a data driven culture across the entire company, advising cross-functional partners on data best practices, building Data Literacy, and establishing Standard Operating Procedures.

The Data and Analytics Engineering (DAE) teams are directly responsible for:

• Ensuring rigorous governance, security, and controls for Hover’s data systems and our use of data; we take responsibility for the ethical use of our data, and privacy is at the forefront of our culture


• Designing, building, and maintaining an effective and efficient data platform and infrastructure; our data tech stack includes Segment, Airbyte, Snowflake, dbt, Census, Mixpanel, Hex, and Tableau


• Ingesting, cleansing, and storing disparate sources of data via reliable and actionable pipelines


• Transforming, testing, deploying, and documenting clean data sets, modeling data to empower analysts and end-users; analytics engineers leverage best practices and creative solutions to improve the structure of our data for analytics across the organization


• Designing, building, and iterating on data structures and new processes for developing internal AI use cases

You will contribute by

While you’ll contribute across the board, the last two bullets in particular will be your sweet spot as an analytics engineer.  You’ll be doubling down on your expertise, being a key contributor supporting data initiatives of our GTM functions, translating business questions to analytics questions, and helping to serve stakeholders across the business by building best in class data products for internal and external use. In addition, you will be unlocking AI capabilities for these stakeholders to improve data democratization across the org.
The team works cross-functionally in a full stack environment delivering data pipelines, scripting automation, building data models, and acts to enable the core business intelligence function of Hover. You’ll work within and help build Hover’s modern data platform including tech such as Snowflake, Airflow, DBT, Tableau, Census, and 3rd party ingestion tools to realize that BI function along with continually striving for more efficient and elegant data modeling and usage.

On a daily basis, you’ll write SQL/Python and use varying tools and scripting languages to help our team develop a best in class self service data platform. This will include data modeling based on stakeholder input, working with data engineers/analysts/data scientists to develop appropriate pipelines for team stakeholders, and following a product oriented approach to sustainable analytic development. Along with business stakeholders, this role will regularly collaborate with our engineering counterparts to assure a clean and efficient data model at both ends of the full data lifecycle.

Your background includes

• 5+ years of progressive experience in Analytics Engineering, Data Engineering and/or Analytics


• A track record of understanding complex business needs from diverse stakeholders and translating those requirements in order to best to structure and implement data to drive impact


• Demonstrated experience in delivering business impact to teams in Growth, Marketing, Finance, Support or other GTM areas


• A mindset to build frameworks and data structures for scale and long term flexibility


• Expert in SQL writing and hands on experience developing in dbt and Snowflake (production models, macros, testing, documentation standards, etc)


• Familiarity with Data Visualization tools such as Tableau and Hex


• Familiarity with GTM platforms such as Salesforce, Intercom, and Gong


• Experience using Python to create scalable pipelines and transformations in orchestration tools such as Airflow


• Exceptional communication skills (both written and verbal) and a desire to share your knowledge with clarity, patience, and empathy


• The ability to work independently and set your own priorities with careful attention to detail and deadlines


• A natural affinity for structure and efficiency

Benefits

• Compensation - Competitive salary and meaningful equity in a fast-growing company


• Healthcare - Comprehensive medical, dental, and vision coverage for you and dependents


• Paid Time Off - Unlimited and flexible vacation policy 


• Paid Family Leave - We support work/life balance and offer generous paid parental and new child bonding leave 


• Mandatory Self-Care Days - A day set aside each month to allow employees to recharge 


• Remote Wellbeing Resources - We provide recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance 


• Learning - We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications

Hybrid roles at Hover

Hover has Hubs in San Francisco and New York City, where we expect that all employees living within a 50-mile radius of our offices will come into their local Hover office at least three times a week to build rapport and foster organic connection. At this time, Hover is not considering fully remote roles.

The US base salary range for this full-time position is $162,000 - $200,000 annually. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all applicable US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

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