Fivetran
is hiring
Senior Data Analyst, Revenue
About Our Company
Fivetran, the global leader in data movement, helps customers use their data to power everything from AI applications and ML models, to predictive analytics and operational workloads. The Fivetran platform reliably and securely centralizes data from hundreds of SaaS applications and databases into any cloud destination — whether deployed on-premises, in the cloud or in a hybrid environment. Thousands of global brands, including Autodesk, Condé Nast, JetBlue and Morgan Stanley, trust Fivetran to move their most valuable data assets to fuel analytics, drive operational efficiencies and power innovation.
Job Description & Responsibilities
You will be part of the Analytics team at Fivetran, where we leverage the most innovative data stack and define industry best-practices for analytics. What is unique about being an analyst at Fivetran is that you get to work as a “full-stack” analyst, covering responsibilities from data engineering, data science and modeling, dashboarding, ad-hoc analysis, stakeholder engagement, and more.
This is a full-time position based out of our Oakland office.
What You'll Do
- Develop and improve upon complex mathematical models that explain and predict Fivetran’s revenue over time.
- Create high-impact, in-depth analyses that inform decision making for executive and C-level leaders; collaborate with executives to define business rules and new metrics.
- Own the development and maintenance of re-usable data models and dashboards that run on top of Fivetran's standardized schemas. We use a modern data stack of Fivetran, dbt, BigQuery, Looker, and Sigma.
- Build data infrastructure that is scalable, optimized, and automated, in order to deliver real-time analytics to stakeholders across Fivetran.
- Assist in training new hires, colleagues, and partners and embody what it means to have a data-driven culture.
- Become a leading voice in the data analytics community.
Requirements
Skills We're Looking For
- Passion for data and analytics
- Advanced/expert level SQL experience
- 3+ years analyzing data and building complex models
- Demonstrated experience using data and analytical abilities to help solve problems and make decisions
- Demonstrated experience using a variety of tools including SQL, Looker, Tableau, etc. to analyze and model raw data sets
- Resourceful, self-motivated and able to successfully complete multiple, competing projects under tight deadlines
- Strong attention to detail
- Strong prioritization & organizational skills
- Excellent verbal & written communication skills
Bonus Skills
- Experience using dbt
- Python experience
- Preferred Bachelor’s degree in a quantitative discipline such as statistics, applied mathematics, economics, computer science, engineering, or a related field; or equivalent analytical acumen/analytics experience
- Experience working at a high-growth, SaaS or B2B product company
What we offer
The pay range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the target position and level. Our pay ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The pay range is subject to change and may be modified in the future. Your recruiter can share more about the specific pay range for your location during the hiring process.
This range represents base salary only and does not include incentive for sales roles, equity, or benefits, if applicable.
Pay Range
$147,200—$184,000 USD
Perks And Benefits
- 100% employer-paid medical insurance*
- Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
- RSU stock grants*
- Professional development and training opportunities
- Company virtual happy hours, free food, and fun team-building activities
- Monthly cell phone stipend
- Recharge, reenergize, and pursue personal and professional goals with a 30-day paid leave after 5 years*
- Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
- May vary by country and worker type - please reach out to your recruiter for more information