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Analytics Manager (Remote)

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

Please note that as part of our interview process, candidates may be required to complete a technical assessment with screen recording to evaluate proficiency in Python, SQL, and data analysis. This will involve solving real-world data problems similar to those you would encounter in this role.

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Average salary estimate

$90000 / YEARLY (est.)
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$75000K
$105000K

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What You Should Know About Analytics Manager (Remote), Serotonin

Join Serotonin as an Analytics Manager and become an integral part of our dynamic and innovative analytics team! At Serotonin, we specialize in transformative technologies, supporting clients across consumer tech, web3 infrastructure, AI, and more. As an Analytics Manager, you’ll dive deep into large datasets to extract trends, patterns, and actionable insights that drive our clients’ success. This is a unique opportunity to collaborate directly with our team lead and have a real impact as you contribute to the development and maintenance of predictive models and comprehensive dashboards that track key performance indicators. Whether it's implementing marketing analytics tools like Google Analytics and Tableau or mentoring junior team members, your role will be pivotal in aligning data strategies with our business objectives. You’ll also have the chance to present your findings to both technical and non-technical stakeholders, translating complex data into strategic recommendations. At Serotonin, we value analytical aptitude and a passion for driving innovation. Explore your potential as you take ownership in a supportive remote work environment. Let’s redefine the way we approach analytics together!

Frequently Asked Questions (FAQs) for Analytics Manager (Remote) Role at Serotonin
What are the main responsibilities of the Analytics Manager at Serotonin?

The Analytics Manager at Serotonin is responsible for executing detailed analysis and visualization of large datasets, working with the team lead to maintain predictive models, and creating dashboards that track client KPIs across various marketing channels. This role also involves translating data into strategic recommendations, optimizing marketing analytics tools, and supporting junior team members.

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What qualifications are needed to apply for the Analytics Manager position at Serotonin?

To qualify for the Analytics Manager position at Serotonin, candidates should have 3-5+ years of experience in client services operations within marketing or consultancy, proven skills in data analysis and business intelligence, and proficiency in Python and SQL. A bachelor's degree with relevant coursework and industry certifications are highly valued, alongside excellent communication and project management skills.

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What tools and technologies will I be using as an Analytics Manager at Serotonin?

As an Analytics Manager at Serotonin, you will work with various analytics tools such as Google Analytics, Tableau, and Mixpanel. Additionally, experience with data visualization libraries, as well as cloud infrastructure like AWS, will be vital in supporting your data analysis and reporting tasks.

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Is prior experience in Web3 necessary for the Analytics Manager role at Serotonin?

While prior experience in Web3 is a strong plus for the Analytics Manager role at Serotonin, it's not strictly necessary. We are more interested in candidates who demonstrate exceptional analytical aptitude and a willingness to learn about the blockchain space.

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What can I expect from the interview process for the Analytics Manager position at Serotonin?

Candidates can expect a comprehensive interview process for the Analytics Manager position at Serotonin, which may include a technical assessment focusing on proficiency in Python and SQL. This assessment will evaluate your ability to solve real-world data problems and understand data analysis within our innovative framework.

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Common Interview Questions for Analytics Manager (Remote)
Can you describe your experience with data analysis and data visualization?

When responding to this question, highlight specific projects you've worked on, the tools you used, and how your analysis led to actionable insights. Mention your familiarity with data visualization tools like Tableau, and explain how you communicated findings to stakeholders.

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How do you approach building predictive models?

Discuss your methodology for building predictive models, including data collection, cleaning, feature selection, and model validation. Share specific examples where your predictions influenced business strategy or outcomes.

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What strategies do you use to optimize marketing analytics?

Talk about the marketing analytics tools you've implemented and how you've used data to drive marketing strategy. Provide instances where your analysis led to improved campaign performance or better allocation of resources.

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How do you ensure effective communication of complex data insights to non-technical stakeholders?

Explain your process for simplifying complex data findings. Emphasize your use of visualizations, storytelling approaches, and your ability to tailor your communication to the audience's level of expertise.

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What challenges have you faced in analytics, and how did you overcome them?

Identify a specific challenge you've encountered in your analytics career, how you approached it, and the outcome. This shows problem-solving skills and resilience, which are essential for the Analytics Manager role.

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How do you handle large datasets in your analysis?

Discuss your strategies for managing and analyzing large datasets, including the tools you use, efficiency techniques like data sampling or chunking, and your familiarity with databases and querying techniques.

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Can you give an example of a successful project you led in your previous role?

Share a project you led from start to finish, elaborating on your goals, the actions you took, contributions to the team, and the results achieved. Highlight metrics that demonstrate success.

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What is your experience with mentoring team members?

Reflect on your previous mentoring experiences, discussing your approach to fostering growth in junior team members. Mention any specific success stories or feedback you've received.

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How do you stay updated on industry trends and analytics best practices?

Talk about your methods for keeping current with industry trends, such as following relevant publications, attending webinars, and networking with other analytics professionals.

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How would you approach a situation where data contradicts your team's assumptions?

Explain how you would analyze the data thoroughly before addressing the contradictions, fostering an open discussion with your team, and providing insights based on the data to recommend strategy pivots.

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Full-time, remote
DATE POSTED
April 9, 2025

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