Senior Marketing Analyst

Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor's degree in marketing, data science, or related field., At least 3 years of experience in marketing, growth, or product analytics., Proficiency in Python, SQL, and data visualization tools like Tableau or Power BI., Experience with marketing analytics tools such as Mixpanel, AppsFlyer, and Salesforce..

Key responsibilities:

  • Manage marketing analytics across various customer lifecycle stages.
  • Develop dashboards and reports for real-time insights using multiple analytics tools.
  • Support lifecycle marketing through data segmentation and performance tracking.
  • Collaborate with data science teams to activate customer profiles and deploy AI models.

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Renmoney Financial Services SME http://www.renmoney.com/
501 - 1000 Employees
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Job description

About the Role

We’re looking for a sharp, businessoriented Senior Marketing Analyst to turn data into insights and automation that drive growth, retention, and marketing ROI. This is a key role powering our next wave of datadriven execution.

You will lead analytics across the customer journey from acquisition to lifecycle and enable smarter decisionmaking through dashboards, segmentation, and experimentation. You’ll also play a central role in activating our Unified Customer Profile (UCP) and embedding AIpowered insights and automation into our marketing engine.

Key Responsibilities
  • Own and manage marketing analytics across acquisition, activation, retention, and reactivation;
  • Develop actionable dashboards and reports using Mixpanel, AppsFlyer, Salesforce, and firstparty data to enable realtime insights;
  • Support lifecycle marketing through datadriven segmentation, cohort analysis, and user journey performance tracking;
  • Collaborate with the UCP and Data Science teams to activate unified customer profiles and deliver more intelligent campaigns;
  • Deploy AIML models (with support from Data Science) to improve churn prediction, upsell targeting, and personalized content delivery;
  • Use AI tools to streamline reporting (e.g., natural language insights), automate campaign analytics, and speed up experimentation;
  • Design and evaluate marketing experiments (AB tests, holdouts, incrementality) to guide strategy and optimize performance;
  • Integrate campaign data across paid and owned channels to measure endtoend funnel efficiency (CAC, LTV, ROI, attribution);
  • Partner with growth, product, and CRM teams to recommend budget allocation, channel strategy, and creative optimization;
  • Present insights and opportunities to senior stakeholders with clarity and business focus.
    • Requirements

      • 3+ years of experience in marketing, growth, or product analytics, ideally in fintech, ecommerce, or SaaS;
      • Strong skills in Python, SQL, Excel, and data visualization tools (Tableau, Looker, Power BI);
      • Experience with marketing tools like Mixpanel, AppsFlyer, GA4, Salesforce, and Customer.io.;
      • Solid grasp of growth metrics: LTV, CAC, retention, churn, funnel conversion, ROI;
      • Experience working with or applying AI models (e.g., churn prediction, dynamic segmentation, automated reports);
      • Comfortable working crossfunctionally with Data Science, Marketing, Product, and Engineering teams;
      • Strong communication skills able to tell a story with data and influence decisions.
        • Benefits

          • Remote opportunity and flexible working hours;
              • Strategic role shaping how data and AI drive growth at one of Nigeria’s leading fintechs;
              • Full access to our AI and analytics stack including Customer.io, Mixpanel, AppsFlyer, and Salesforce;
              • Opportunity to work closely with our CMO, product, and data teams to unlock UCP and portfolio growth;
              • Flat, collaborative culture where speed, learning, and creativity are valued;
              • Competitive salary, paid vacations and additional dayoffs.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Microsoft Excel
  • Collaboration
  • Communication

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