Job Description  English      Job ID: #1655

Story: Product Owners need insights on how to make mobile users happy, which segments, channels, and conversions to focus on to scale growth.

Key PROBLEM's:

Show which conversions to improve and how until Q1 2023
Show which acquisition channels to scale until Q1 2023
Implement an ongoing process of hypothesis testing until Q1 2023
Implement an ongoing A/B testing process until Q1 2023
How:

Make conversions transparent through the funnel by cohorts, clusters, and channels.
Develop user-friendly & self-explanatory reports and dashboards, and fully automate them so that zero manual adjustments are needed.
Generate hypotheses with clear a/b testing and provide a/b testing results.
Prioritize product backlog accordingly to the business value to development costs ratio.
Collect and process client's feedback.
Competitors research.
Main performance number: % of product funnel covered
Second performance number: Hypotheses tested over month
Third performance number: % of automated OKRs

Functions:

User analytics : Analyze the focus - which channels to scale and which conversions to increase as we know users' clusters, cohorts, channels conversions, activation, churn, referral, and monetization.
Hypotheses : Launch, support, analyze and report product hypotheses.
A/B tests : Conduct, analyze A/B tests.
Reports : Develop grandma-clear dashboards, and daily, weekly, and monthly present performances at analytical breakfasts.
DBAAS : Make databases well-structured, unified, fast and easy to access while safeguarding security access levels for analysts, OKRs, debugging.

Start Date

ASAP

Required Qualifications

2+ years in analytics of high pace tech company.
Experience in mobile product analytics or marketing.
Proficient in SQL and Python to have analytics at fingertips.
Managed developers and can code.
Data Science, cohort, cluster, channel, funnel analytics.
Well articulated and can discipline teammates to articulate their roles and OKRs.

Pay Details

2000-4000 k$ per month