Lead retention and marketing analytics: build lifecycle and segmentation frameworks, design and analyze A/B tests, drive personalization and KPI dashboards, automate retention reporting, and partner with Marketing, CRM, Product, and Data Engineering to turn insights into action.
We are looking for a Senior Data Analyst to lead Retention & Marketing Analytics across the GoMining ecosystem.
You will partner closely with our Marketing and CRM teams to build a data-driven retention strategy — from customer segmentation and lifecycle analytics to A/B testing, personalization, and automated performance insights.
This role is ideal for someone who combines strong analytical expertise with a deep understanding of user behavior, CRM, and retention mechanics.
Responsibilities:Retention & Marketing Analytics- Build and develop a scalable retention analytics framework across the customer lifecycle.
- Define and maintain retention KPIs, lifecycle metrics, and marketing performance dashboards.
- Analyze user behavior and identify opportunities to improve engagement, retention, and customer lifetime value.
- Deliver actionable insights that drive marketing and product decisions.
- Develop customer segmentation models (RFM and beyond) to improve targeting and retention.
- Design data-driven personalization strategies based on user behavior, interests, and lifecycle stage.
- Support the implementation of personalized customer experiences across marketing channels.
- Collaborate with Product and CRM teams to optimize user journeys.
- Design and analyze A/B tests for CRM campaigns, marketing initiatives, and retention improvements.
- Define experiment methodology, success metrics, and statistical evaluation.
- Measure long-term cohort impact and provide recommendations based on experiment results.
- Help establish best practices for experimentation across Marketing and CRM teams.
- Automate retention reporting and marketing performance monitoring.
- Build dashboards and reporting systems used by Marketing, Product, and Leadership teams.
- Develop automated insights and anomaly detection for key retention metrics.
- Work closely with Data Engineering to ensure data quality and scalable analytics infrastructure.
Requirements
- 5+ years of experience in Marketing Analytics, CRM Analytics, or Retention Analytics.
- Strong experience analyzing customer lifecycle, retention, and user behavior.
- Proven experience designing and evaluating A/B tests for CRM communications and marketing initiatives.
- Experience working with CRM platforms such as Customer.io, Braze, Iterable, or similar.
- Deep understanding of customer segmentation methodologies, including RFM and behavioral segmentation.
- Experience building retention and marketing KPI frameworks.
- Strong SQL and Python skills.
- Experience working with cloud data platforms such as BigQuery (preferred), Snowflake, Redshift, or AWS.
- Strong analytical mindset and ability to translate data into business decisions.
- English B2/C1.
Nice to have
- Experience with machine learning and recommendation systems.
- Experience building real-time personalization models.
- Experience with Google Cloud Platform and BigQuery.
- Experience in fintech, crypto, SaaS, or high-scale B2C products.
Benefits
- Learning support - courses, English classes, and conferences (up to 100% reimbursement)
- Unique loyalty program - receive corporate digital miners and earn passive income with no investment
- Team culture: retreats in international locations (for example, company apartments in Cyprus).
- Memorable events with wow prizes - we celebrate big occasions in a big way
- “Employee of the Month” award - we recognize and reward our top performers
- Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year
- New career tracks - real opportunities to grow into expert or top management roles
- Work-life fit - flexible hours and remote work. You don’t need to chase balance - here, work is a part of life, not the opposite. We aim to make work inspiring, not exhausting. For us, results matter most.
Similar Jobs
eCommerce • Mobile • Retail
As a Software Engineer in Infrastructure Reliability, you'll build distributed systems that enhance platform reliability, implement traffic control mechanisms, and develop monitoring tools, working closely with diverse teams.
Top Skills:
AWSChaos Testing FrameworksGCPIncident Response ToolsKubernetesLoad Testing FrameworksMonitoring ToolsObservability ToolsTraffic Control Mechanisms
Security • Software • Cybersecurity • Automation
Sell enterprise SaaS to new customers across EMEA/UK, consistently exceed quota, build and manage a pipeline, consult with senior executives, develop go-to-market strategies, identify product improvements from customer needs, and close new business for large accounts.
Enterprise Web • Hardware • Internet of Things • Software
Manage a portfolio of manufacturing customer accounts to drive digital transformation with Tulip: recommend use cases, track ROI, ensure renewals and expansion, coordinate cross-functional teams, and build scalable Customer Success processes. Travel ~20%.
Top Skills:
Cloud-NativeEmbedded AiNo-CodeTulip
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

.png)

