Senior Growth Analyst

Readdle

. Analyze large datasets in BigQuery and Amplitude to identify product and growth opportunities, trends, anomalies, and actionable insights .

Posted 9/18/2026full-timeRemoteSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in analyzing large datasets using BigQuery and Amplitude to derive actionable insights and support growth initiatives. Proficient in building self-serve reports, designing A/B experiments, and ensuring data integrity across analytics tools.

Highest-signal resume keywords

SQL SkillsBigQuery ExperienceTableau ProficiencyProduct Analytics Tools ExperienceUser Acquisition Strategy

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical RigorChurn ModelingLTV ModelingExperimentationForecasting ModelsSegmentationCausal InferenceLinear ProgrammingEconometrics

Soft Skills

Cross-Functional CollaborationStrategic Thought PartnerBusiness Acumen

Tools & Technologies

AmplitudeMixpanelHeapHotjarPostHogTableauLookerAppsflyerAdjustKochava

Industry Keywords

B2CSaaSMonetizationUser AcquisitionSubscription-Based Products

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudPythonSQLTableau

About the role

Key responsibilities & impact

Analyze large datasets in BigQuery and Amplitude to identify product and growth opportunities, trends, anomalies, and actionable insights
Build and maintain self-serve reports and establish a source of truth for growth metrics
Define, document, and QA event structures for features, campaigns, and experiments
Build a monetization measurement system supporting pricing and migration decisions
Analyze user funnels across ads, stores, onboarding, in-app usage, purchases, and cancellations
Design, sequence, and monitor A/B experiments and feature launches
Validate experiment results with statistical rigor and track long-term impact
Surface insights, hypotheses, and growth opportunities to marketing and product teams
Contribute to quarterly prioritization and roadmap decisions using data and impact scenarios
Build forecasting and scenario models for installs, conversions, retention, and revenue
Ensure data integrity across tools and pipelines through QA processes
Work with measurement vendors to track attribution and optimize acquisition reporting

Requirements

What you’ll need

4+ years in growth, product, or marketing analytics in a B2C or SaaS environment
Experience with user acquisition, pricing, monetization, and/or migration initiatives in subscription-based products
Strong SQL skills
Experience with BigQuery or similar cloud data warehouses such as Redshift or Snowflake
Proficiency in Tableau, Looker, or similar tools for reporting and complex data visualization
Experience with product analytics tools such as Amplitude, Mixpanel, Heap, Hotjar, or PostHog
Experience with marketing attribution platforms such as Appsflyer, Adjust, or Kochava
Familiarity with Python or R for data analysis and automation
Solid understanding of product analytics, marketing analytics, statistics, experimentation, segmentation, churn modeling, and LTV modeling
Proven ability to design self-serve dashboards and act as a strategic thought partner to PM/PMM teams
Solid business acumen and ability to work cross-functionally with product, marketing, and engineering teams
Experience with ML or time-series inference is a strong plus
Advanced analytics experience such as causal inference, quasi-experiments, linear programming, or econometrics is highly advantageous

Benefits

Comp & perks

Customer-centric culture with direct customer engagement opportunities
Opportunities for professional mastery, learning, feedback, and growth
Transparent, collaborative team environment
Opportunities to make real impact through meaningful products
Culture of innovation encouraging and celebrating fresh ideas