Sweatpals15.03.26
AI SCORE 8.5

Data & Growth Analyst - AI-Driven Insights

$90K–$120K/year

About the Role

We are seeking a Data & Growth Analyst to join our team at Sweatpals, an innovative fitness platform that transforms workouts into social experiences. As a Data & Growth Analyst remote, you will play a crucial role in shaping our analytics framework and driving growth through data-driven insights.

What You’ll Do

  • Own and evolve our marketing attribution framework across web and mobile platforms, utilizing tools like GA4 and Appsflyer.
  • Build reliable dashboards that provide insights into marketplace health, channel performance, and user behavior.
  • Define and instrument key product and growth metrics, including activation, conversion, retention, and repeat bookings.
  • Establish an experimentation practice, partnering with product and engineering teams to conduct rigorous A/B tests.
  • Analyze user and host behavior across various cities and cohorts, translating findings into actionable recommendations for product and growth strategies.
  • Monitor and report on SEO performance, identifying technical issues and prioritizing fixes to enhance our online presence.
  • Collaborate with the Head of AI to evaluate the impact of AI-powered features using clear metrics and experimentation.
  • Utilize AI tools daily to streamline analysis and documentation processes.

Requirements

  • 3-5 years of experience in product analytics, growth analytics, or a related field.
  • Strong SQL skills with the ability to write complex queries.
  • Experience with Python for data analysis, familiarity with tools like BigQuery, Looker, or Metabase.
  • Comfortable working in a fast-paced startup environment with ambiguity.
  • Ability to translate analytical findings into clear recommendations for non-technical stakeholders.

Nice to Have

  • Experience with mobile measurement partners like Appsflyer.
  • Familiarity with SEO tools such as Google Search Console and SEMrush.
  • Proactive use of AI tools like ChatGPT to enhance productivity.

What We Offer

  • Competitive salary with early-stage equity options.
  • Remote-first work environment with flexibility to work asynchronously.
  • Opportunity to shape the analytics function from the ground up.
  • Impactful work that directly influences a marketplace serving millions of users.
  • Supportive team culture that values diversity of thought and encourages initiative.

Join us as a Data & Growth Analyst remote and help us redefine the fitness experience through data-driven insights!

Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

Join Sweatpals as a Data & Growth Analyst and shape the future of fitness analytics. Enjoy a competitive salary and equity in a dynamic remote environment.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in SQL and Python for data manipulation and analysis, with hands-on experience in using BigQuery for large-scale data queries to drive actionable insights.

Strong analytical mindset with experience in utilizing Google Analytics 4 (GA4) and Appsflyer for tracking user behavior and marketing performance, adapting strategies based on real-time data.

Self-motivated and detail-oriented, comfortable working in a fully remote environment, demonstrating the ability to manage time effectively and collaborate asynchronously with cross-functional teams.

Learning Resources

SQL for Data Sciencecourse

Career Path

Data & Growth Analyst - AI-Driven Insights(Now)Growth Data Scientist(1-2 years)Lead Data Analyst(3-5 years)

Market Overview

Market Size 2024
$20B
Annual Growth
12.5%
AI Adoption
45%
Investment
+35%
Labour Demand
+30%
Avg Salary
$85K

Skills & Requirements

Required
SQLPythonGA4
Growing in Demand
Data Visualization (Tableau, Power BI)Machine Learning (Scikit-learn, TensorFlow)Cloud Data Warehousing (Snowflake, AWS Redshift)
Declining
Excel VBATraditional ETL Tools (Informatica, Talend)

Domain Trends

Rise of AI-Driven Analytics
The demand for AI-driven analytics tools is expected to grow by 40% in the next two years as organizations seek to derive actionable insights from data.
Increased Adoption of Cloud-Based Data Solutions
Cloud data warehousing solutions like BigQuery are projected to increase by 50% as companies move away from on-premises databases.
Growing Importance of Data Privacy Regulations
With 60% of companies facing compliance challenges, there is a significant push for data governance and privacy management in analytics.

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