Serotonin
Data Analyst
Who is Serotonin
Serotonin is the top go to market firm for transformative technologies, specializing in marketing, strategy, recruiting, and legal services. With a global team of 90 across 15 countries, Serotonin has supported over 300 clients in consumer tech, web3 infrastructure, digital assets, venture capital, and AI since its launch in 2020. Delivering end-to-end go-to-market solutions across all major marketing channels—including public relations, growth marketing, on-chain analytics, content, research, social, and design—Serotonin accelerates global innovation. At the core of our business is the Serotonin Platform, serving as a central nucleus for the web3 ecosystem, connecting builders and founders with essential resources to drive business growth.
About the Role
This role is primarily focused on individual contribution, positioning you as a key member of a growing analytics team. You will begin by working directly with the team lead, with clear opportunities to take on more ownership and leadership responsibilities as you develop in the role. As you demonstrate your skills, you will also have the chance to mentor junior team members as the team continues to grow.
Responsibilities
Execute analysis and visualization of large datasets to identify trends, patterns, and actionable insights
Work with your team lead to build and maintain predictive models to forecast business performance and trends
Create and maintain comprehensive dashboards that track client KPIs across multiple channels (PR, paid media, social, and web analytics)
Apply statistical techniques to analyze data and identify opportunities for optimization
Translate data into strategic recommendations that drive decision-making
Implement and optimize marketing analytics tools such as Google Analytics, Tableau, and Mixpanel
Prepare regular updates and reports for both technical and non-technical stakeholders
Support the identification of opportunities for automation and reporting process optimization
Collaborate with cross-functional teams to align data strategies with business objectives
Work closely with division lead to recommend strategic pivots based on data that may contradict current assumptions
Support and mentor junior team members as you grow in your role
Requirements
3-5+ years of experience in client services operations within marketing or consultancy environments (agency, consulting firm, strategic advisory, etc.)
Proven background in data analysis, data visualization, and business intelligence
Total proficiency in Python and SQL required, including common data science libraries (pandas, NumPy, scikit-learn, etc.)
Experience with R, Java, JavaScript, or Scala is a plus but not required
Experience maintaining and analyzing numerous disparate databases across multiple vendor and client platforms
Deep experience with data visualization tools like Tableau and Power BI
Advanced experience with cloud infrastructure and data architectures, particularly AWS environments
Portfolio demonstrating dashboard creation and analytics implementation
While experience with blockchain analytics platforms like Dune or Goldsky is certainly valuable, we’re equally interested in candidates who demonstrate exceptional analytical aptitude and learning agility
Experience in tracking and measuring campaign performance across marketing channels
Exceptional communication skills with proven ability to translate complex data into actionable insights for diverse stakeholders
Strong organizational and project management skills
Prior experience (either personally or professionally) in Web3 is a strong plus
Education Requirements
Bachelor’s degree with relevant quantitative coursework highly preferred
Relevant industry certification is highly valued
Equivalent practical experience will be considered for candidates who can demonstrate exceptional analytical capabilities and relevant work history
Benefits
Competitive Salary
Health Insurance – (US Only)
401(k) – (US Only)
Remote Work Environment
Maternity/Paternity Leave
$75,000 – $105,000 a year
Technical Assessment
To apply for this job please visit jobs.lever.co.