Senior Product Analyst, Strategy and Insights at Scribe

San Francisco, California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

5+ years of experience in data-focused roles supporting a product audience, helping make roadmap trade-offs in a fast-paced environment (startup experience preferred)
Expertise in SQL to build complex, scalable queries, with familiarity in a scripting language like Python for descriptive and statistical analysis
Hands-on experience with Snowflake, dbt, Sigma Computing, and Mixpanel (or similar tools)
Ability to proactively identify new product opportunities by deeply understanding data
Deep understanding of users, excitement about analyzing rich datasets across customer cohorts, and ability to build metrics frameworks to explain user behaviors
Thrive in high autonomy, handling data requests and proactively surfacing new product opportunities
Exceptional communication and stakeholder management skills, translating complex data insights into actionable strategies for diverse audiences
Customer and business-oriented mindset, balancing quantitative data with qualitative insights to drive product and strategic decisions
Attention to detail, going above and beyond surface-level asks to predict feature impacts on business

Responsibilities

Partner with the VP of Product to define and execute Scribe's data strategy aligning with organizational goals, delivering through data initiatives
Partner closely with Data Engineering, Revenue Ops, and Finance teams to create a holistic picture of customer impact
Develop and implement North Star metrics by creating scalable datasets and dynamic dashboards for timely, actionable insights enabling data-driven decisions
Measure the impact of every new feature before, during, and after development to ensure positive business metric impacts
Conduct deep-dive analyses on product health and usage using funnel analysis, root cause analysis, and statistical modeling to uncover insights and drive growth
Help build the foundation for a high-performing data analytics team by mentoring future analysts and fostering a culture of rigorous experimentation and continuous learning

Skills

Key technologies and capabilities for this role

SQLFunnel AnalysisRoot Cause AnalysisStatistical ModelingDynamic DashboardsScalable DatasetsNorth Star MetricsData Strategy

Questions & Answers

Common questions about this position

What experience level is required for this role?

Candidates need 5+ years of experience in data-focused roles supporting a product audience, with startup experience preferred.

What technical skills are required for the Senior Product Analyst role?

Expertise in SQL for complex queries, familiarity with Python for analysis, and hands-on experience with Snowflake, dbt, Sigma Computing, and Mixpanel or similar tools are required.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

What does the team structure look like for this role?

You will be part of the Product team, working closely with 5 product managers, the VP of Product, Data Engineering, Revenue Ops, and Finance teams.

Scribe

AI-powered platform for creating guides

About Scribe

ScribeHow provides a platform for creating how-to guides and training documents using artificial intelligence. The platform automatically generates step-by-step guides for any web or desktop process, which helps businesses save time and resources by eliminating the need for manual documentation. It also features automatic redaction of sensitive information from screenshots to ensure compliance with data protection regulations. ScribeHow operates on a freemium model, allowing users to access a free version with the option to upgrade for more features. This approach attracts a diverse range of customers, from small businesses to large corporations. The user-friendly interface has been recognized for simplifying the guide creation process, contributing to the growth of businesses that use it.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$53.5MTotal Funding

SERIES_BCompany Stage

Enterprise Software, Cybersecurity, AI & Machine LearningIndustries

201-500Employees

Benefits

Health Insurance

401(k) Retirement Plan

Unlimited Paid Time Off

Parental Leave

Remote Work Options

Home Office Stipend

Risks

Competition from Google and Microsoft could overshadow Scribe's AI offerings.

Rapid revenue growth may lead to operational challenges if not managed properly.

The freemium model poses financial risks if conversion rates to paid plans are low.

Differentiation

Scribe uses AI to automate step-by-step guide creation, saving time and resources.

The platform's automatic redaction feature ensures compliance with data protection regulations.

Scribe's freemium model attracts a broad range of customers, from small to large businesses.

Upsides

Scribe's revenue grew 400% last year, indicating strong market demand.

The rise of remote work increases demand for Scribe's asynchronous documentation capabilities.

Scribe's integration with tools like Asana and Trello enhances its utility for project management.

Land your dream remote job 3x faster with AI

Try Jobo Free