Data Analyst, Writer
Product
+ Stock options
AI writing assistant
Open for applications
AI writing assistant
201-500 employees
Open for applications
+ Stock options
201-500 employees
Company mission
To bring generative AI to the enterprise.
Role
Who you are
- 5+ years of hands-on experience in a product analytics role, ideally in a SaaS environment
- Advanced SQL and dbt skills
- Proficient with product analytics tools like Amplitude, Mixpanel, or similar
- Proficient with data visualization tools like Tableau, Looker, or similar
- An analytical mindset, with the intellectual curiosity to search for context and insight behind the numbers
- Ability to distill complex information into easily consumable reports and communications that provide insights, enabling quick decision making
- Thrives in ambiguity and can create paved roads from dirt paths
- Bonus points if you have worn multiple analyst hats - marketing analyst, product analyst, operations analyst
- Extra bonus points if you have experience working on the data engineering side of the house
- High intellectual curiosity and a proclivity to lean into a new subject matter
- A trusted advisor and partner for all levels of the organization
- Intrinsically motivated: you set the highest possible bar for what you build and ship
- An eye for spotting an opportunity, intuition for determining which ones to prioritize, and courage to follow through
- Possesses humility — no work is too trivial if it’s impactful
- Resilient and open to honest (and kind) feedback; tough skin
- Self-aware and committed to learning the why for both successes and failures
- Proactive communication skills, both sync and async
- Experience managing and building relationships across multiple departments and stakeholder levels
- A natural affinity to our values of connect, challenge, own
What the job involves
- We are looking for a Data Analyst to spearhead 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 lead growth initiatives and present insights that will directly impact our product roadmap
- As an early member of the team, you’ll play a key role in shaping the future of data at Writer
- You’ll help define our metrics layer and consolidate our data into a single source of truth
- You’ll have to navigate between data modeling, dashboarding and stakeholder management
- You’ll constantly be challenged with hard problems, while juggling many data requests
- If you are passionate about getting the “so what” out of any analysis and bringing your insights to life, we want to hear from you!
- 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 literacy: Develop resources to empower data access. Drive the vision, building, and adoption of self-service analytic capabilities
- Data leadership: Champion best practices and serve as a subject matter expert in data modeling, analytics, and visualization
Our take
AI-assisted writing tools have taken off over recent years. With the likes of high-exposure company Grammarly accelerating adoption of such tools, a flurry of startups have appeared to offer their own takes. Writer’s angle is to leverage AI as a means of standardizing and scaling both content and communications for business teams. The tool offers autofilling and inline suggestions that keep content aligned with pre-determined company language and style guides.
This branded fine-tuning function distinguishes it from full copy-generation competitors, as well as from Grammarly itself, which is a more generalist copyediting tool. It subsequently caters to major enterprise clients looking to maintain standards across multiple and sprawling teams, and the company has managed to net major clients like Deloitte, Twitter, UiPath, and Accenture.
While AI-related buzz remains solidly around generative AIs like ChatGPT and Bard, Writer's narrow target market - in which it has already found success - supplies plenty of scope to grow, as AI copyediting tools look set to rapidly become content industry standard. With continued new launches and updates to its offerings as well as an impressive $100 million Series B awarded in 2023, the company is well-placed to seek further success into the future.
Steph
Company Specialist at Welcome to the Jungle
Insights
229% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Nov 2024
$200m
SERIES C
Sep 2023
$100m
SERIES B
Total funding: $326m
Company benefits
- Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA
- Flexible location and schedule options
- Competitive parental leave policy
- Company stock options
- 401k plan with employer contributions
- Learning and development stipend
- Generous PTO
- Distributed from Day 1: Our processes and operating cadence are built around a distributed culture
- SF office space: If you prefer working from an office, we have a beautiful sunny one in Union Square, the heart of San Francisco
Company HQ
Union Square, San Francisco, CA
Leadership
May Habib
(CEO)Harvard economics graduate, who was previously VP of sovereign wealth fund Mubadala Development Company, and a global shaper at the World Economic Forum. Also co-founded Qordoba.
Waseem Alshikh
(CTO)Previously co-founded CloudAppers, then served as CTO at iMENA. Subsequently co-founded AI content editor Qordoba.
Salary benchmarks
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