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Product analyst

Reposted 2 Days Ago
In-Office or Remote
2 Locations
Senior level
In-Office or Remote
2 Locations
Senior level
The Data Engineer will build and maintain data pipelines, ensure data quality, and collaborate with product teams to deliver data solutions. Responsibilities include data modeling, documentation, and establishing best practices in data engineering.
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📐 About this role

We are looking for a Product analyst to shape our product analytics initiatives. In this role, you will collaborate closely with our EPD team to develop analytical rigor, establish key metrics, and provide recommendations for product improvements. You will leverage your expertise in FullStory (our primary product analytics tool) to uncover user behaviors, identify friction points, and drive actionable insights that shape our product roadmap.

As an early and foundational member of the data team, you will do more than just analyze data—you will build the future of it at WRITER. This means defining our core metrics layer, consolidating data into a single source of truth, and establishing the analytical rigor that will guide our product and engineering teams.

This is a role where you will navigate the full data lifecycle—from data modeling and dashboarding to deep-dive analysis and stakeholder management. If you are passionate about finding the "so what" behind the numbers and bringing your insights to life, we want to hear from you!

Tech stack

Core tools: FullStory, BigQuery, dbt, Fivetran, Hightouch, Segment, Amplitude, Omni

Periphery tools: Salesforce, Hubspot, Gong

🦸🏻‍♀️ Your responsibilities

  • Data analysis: collect, clean, and analyze data to extract meaningful insights, and identify trends and patterns to inform business decisions. Design and analyze A/B tests.

  • Data modeling: design and build new ELT-based data models using SQL and dbt, implementing efficient testing and validation to ensure the accuracy and integrity of the data.

  • Reporting: create dashboards and visualizations that will lead to better business outcomes, product development prioritization and higher operational efficiencies.

  • Collaboration: partner with Product, Marketing, GTM and other cross-functional teams to standardize and report on key metrics, while supporting each team with their ad-hoc reporting needs.

  • Data enablement & leadership: champion data best practices across the company. Drive the vision for self-service analytics by developing resources, building trusted data models, and establishing the standards that will empower the entire team to make better decisions.

⭐️ What we’re looking for

  • An experienced and curious data professional: you have 5+ years of hands-on experience in product analytics in a SaaS environment. Your intellectual curiosity constantly pushes you to search for the context and insight behind the numbers.

  • A master of the modern data stack: you have advanced SQL and dbt skills and are proficient with product analytics tools (like Amplitude/Mixpanel) and data visualization tools (like Tableau/Looker).

  • A builder who thrives in ambiguity: you excel in a fast-paced environment and see a "dirt path" as an opportunity to create a paved road. You are intrinsically motivated and set the highest possible bar for what you build.

  • A trusted partner and communicator: you can distill complex information into easily consumable reports and insights. You are a proactive communicator who excels at building relationships and acting as a trusted advisor to stakeholders at all levels.

  • Humble, resilient, and committed to growth: you possess humility—no work is too trivial if it’s impactful. You are resilient, open to honest feedback, and self-aware enough to learn from both successes and failures.

Bonus points: You have experience wearing multiple analyst hats (marketing, operations) or have worked on the data engineering side of the house.


🍩 Benefits & perks (US Full-time employees)

  • Generous PTO, plus company holidays

  • Medical, dental, and vision coverage for you and your family

  • Paid parental leave for all parents (12 weeks)

  • Fertility and family planning support

  • Early-detection cancer testing through Galleri

  • Flexible spending account and dependent FSA options

  • Health savings account for eligible plans with company contribution

  • Annual work-life stipends for:

    • Home office setup, cell phone, internet

    • Wellness stipend for gym, massage/chiropractor, personal training, etc.

    • Learning and development stipend

  • Company-wide off-sites and team off-sites

  • Competitive compensation, company stock options and 401k

WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.


#BI-Remote

Top Skills

Airbyte
Airflow
Amplitude
BigQuery
Dbt
Fivetran
Hightouch
Kafka
Omni
Python
Segment
SQL

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