Back to the stack

Immediate Hiring: Mid-Level Staff Product Data Analyst

Remote Worldwide Hiring now

Role Snapshot:

  • Start Date: Immediate openings available
  • Position: Mid-level Staff Product Data Analyst
  • Company: Workwarp
  • Compensation: a competitive salary
  • Location: Remote

 

 

This is a remote position. Mid-Level Staff Product Data Analyst - Remote Job, 2-3+ Year Experience... Annual Income: $90K - $100K A valid work permit is necessary in the US/Canada About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities. As a Staff Product Data Analyst, you play a vital role in creating and refining advanced churn and LTV models by leveraging a wide variety of data sources. You will work hand-in-hand with multiple business departments to develop complex models and effectively communicate their business impacts, maintaining a leadership position in efficiency, quality, and other key metrics identified by you and pertinent stakeholders. This pivotal role falls under the Data Platform organization and you will report directly to the Head of Data Platform. Moreover, Financial Planning ∧ strategy Data Engineering, and cross-functional business teams will be the key to unlocking their potential through the strategic use of data and be the last mile for translation to impact on business. Responsibilities: ┬Ľ An exceptional storyteller through dashboards and oral presentations to effectively communicate insights and recommendations to stakeholders across all organizational levels. ┬Ľ Collaborate closely with product owners and marketing teams to analyze the value of new features, enhancements, and projects as well as provide insights and hypotheses that will lead to experiment design in efforts of growth, retention, and expansion ┬Ľ Based on exploratory analysis, create customer profiles, and develop metrics such as LTV and Churn based on these profiles ┬Ľ Build out scalable data models that serve as the single source of truth for the growth product teams to be leveraged across the organization ┬Ľ Analyze and recommend improvements to website performance by examining customer experience, conversion effectiveness, abandonment points, customer demographics, and website usability trends. ┬Ľ Experimentation Evangelist - educate and promote a data-driven culture through experimentation Requirements: ┬Ľ 7+ years of experience in a highly analytical role, with at least 5+ years in a product analytics/data science role, preferably in a Product Led Growth organization with a focus on growth OR master or Ph.D. degree with 3+ years of demonstrated experience in a product led growth organization with a focus on growth optimization ┬Ľ Advanced proficiency in SQL and A/B testing, as well as an understanding of data warehouse principles including data modeling; ┬Ľ Experience in product-led growth A/B experiments involves understanding product metrics, formulating hypotheses, designing and implementing tests, analyzing results, and optimizing based on findings to drive key metrics like activation, retention, and revenue. ┬Ľ Proficiency in utilizing scalable packages/libraries for experimentation, power analysis, in-depth statistical analysis, causal inferencing, and visualization in R or Python. ┬Ľ Excellent analytical and problem-solving skills, with the ability to identify and prioritize growth opportunities based on data and experiment results ┬Ľ Strong written and verbal communication skills and the ability to distill complex analytical solutions into actionable insights and communicate business impact to non-technical audiences ┬Ľ A demonstrated self-starter with excellent prioritization skills, able to drive projects to completion with minimal guidance. Benefits: ┬Ľ A fast-paced and collaborative environment ┬Ľ Learning and development allowance ┬Ľ Competitive compensation and opportunity for advancement ┬Ľ 100% medical, dental, and vision coverage ┬Ľ Flexible PTO policy ┬Ľ Monthly wellness stipend, home office stipend Apply Job!

 

Take the Next Step

Are you ready for this challenge? Apply now and let's discuss how you can become a vital part of our success story.

Apply To This Job
Apply for this role Opens the employer's application page — free, no JobStack account needed.

More from the stack

Immediate Hiring: Mid Market Account Executive

Remote Worldwide
View role

Immediate Hiring: Mid Stack Software Engineer

Remote Worldwide
View role

Immediate Hiring: MIG Welder- Entry Level

Remote Worldwide
View role

Immediate Hiring: Minnesota-Based Virtual SLP Opportunity

Remote Worldwide
View role

Immediate Hiring: Mission Systems Human-Computer Interaction

Remote Worldwide
View role

Immediate Hiring: Mobile App and Game Tester - 100% Remote

Remote Worldwide
View role

Immediate Hiring: Mobile App Critic (No Experience Required)

Remote Worldwide
View role

Immediate Hiring: Mobile App Technical Reviewer - Careers Remote

Remote Worldwide
View role

Immediate Hiring: Mobile Associate, Store in Store - Retail Sales

Remote Worldwide
View role

Immediate Hiring: Mobile First Architect (Part Time)

Remote Worldwide
View role

Experienced Full Stack Data Entry Specialist – Home Based Remote Opportunity for College Students

Remote Worldwide
View role

Trainee Cyber Security (Employability Bootcamp)

Remote Worldwide
View role

Experienced Work from Home Customer Service Coordinator - Bank Voice

Remote Worldwide
View role

Experienced Remote Live Chat Customer Support Specialist - Delivering Exceptional Customer Experiences from Home at blithequark

Remote Worldwide
View role

Software Engineer, Service Resiliency

Remote Worldwide
View role

Country Manager - Saudi Arabia

Remote Worldwide
View role

Principal Design Engineer

Remote Worldwide
View role

Part-time work from home- sales

Remote Worldwide
View role

Lead-Inside Sales

Remote Worldwide
View role

[Remote] AI Systems Engineering Expert

Remote Worldwide
View role