Analytics Engineer
About The Position
Verkada’s Growth Ops team is looking for a talented individual to play an integral role in leveraging our data and technology to help our marketing team run better, faster, and smarter. You will have the opportunity to play a vital role in both creating and driving world-class insights that will drive the next phase of growth here at Verkada. Successful Marketing Analytics leaders at Verkada are fluent in SQL and data modeling, understand the principles of effective data visualization, and know how to contextualize their work within the business in order to drive growth. This role reports to our Sre. Manager, Analytics Engineering. We are committed to a thriving in-office culture. This role requires that you be on-site at our office in San Mateo, CA 5 days a week.
Requirements
- 3–5 years of experience in data analytics or data science.
- Advanced SQL proficiency and experience working with modern databases (BigQuery, Snowflake, Redshift)
- Experience building dashboards with data visualization tools (Looker, Tableau, Power BI).
- Demonstrated track record of success in a high-growth, self-directed business environment.
- Strong analytical mindset; enjoys solving complex and ambiguous problems.
- Excellent verbal and written communication skills, with ability to translate complex data into clear business narratives.
- Must be willing and able to commute 5 days in office.
Nice To Haves
- Direct relevant experience in Marketing Analytics or a similar function (Growth Analytics, Data Science, Product Analytics, etc.)
- Experience with data modeling, ETL/ELT, and data warehousing.
- Experience with dbt
- Experience with Looker/LookML
- Proficiency with Python, R, and statistical analysis.
- Familiarity with business systems: Salesforce, Marketo, Outreach, or similar.
Responsibilities
- Own the full analytics workflow, from transforming raw data in dbt to building dashboards in Looker and presenting findings that influence strategy.
- Collaborate with stakeholders to design metrics that align with company objectives and inform decision-making.
- Build and maintain scalable, well-documented data models in dbt and Looker/LookML that power reporting and analysis across the org.
- Help shape data governance and foster data literacy, empowering stakeholders to self-serve with trustworthy and accurate data.
- Present clear, actionable insights to both technical and non-technical audiences.
Benefits
- Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
- Nationwide medical, vision and dental coverage
- Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
- Expanded mental health support
- Paid parental leave policy & fertility benefits
- Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
- Professional development stipend
- Fertility Stipend
- Wellness/fitness benefits
- Healthy lunches provided daily
- Commuter benefits
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
