Senior Data Analyst
3 weeks ago
Fast-track your career with the Marlee Talent Pool. We're not just matching you with your ideal roles but unlocking your long‑term career potential. Marlee goes above and beyond by identifying key strengths for your CV, helping you discover a career direction you might not have considered where you can truly thrive, and guiding you to develop those essential soft human skills that close gaps in your resume.
Marlee's innovative approach then places you in teams where you'll flourish. Using cutting‑edge motivational science, we connect you with roles in teams and within organizations that make your heart sing and help our partners build their dream teams.
About the role
As a Senior Data Analyst, you'll be the wizard behind the curtain, transforming raw data into insights that will fuel our partner's success. You'll dive deep into user behavior, mapping out product funnels and uncovering hidden opportunities to boost acquisition, activation, retention, and monetization.
As the data champion, you'll foster a culture of data‑driven decision‑making, ensuring that every team has the insights they need to succeed. You'll stay on the cutting edge of data analysis tools and techniques, continuously evolving our partner's data capabilities.
Who you are:
- A data storyteller, translating complex findings into clear, actionable recommendations that resonate with stakeholders across the business
- Build and maintain robust data models to support analysis and reporting
- Collaborate with data engineers on data sourcing, cleaning, and transformation
- Develop predictive models to improve business outcomes
- Create and maintain KPI dashboards and reports
- Design and conduct A/B testing to inform product decisions
- Promote a data-driven culture across the business and directly influence product strategy, help set company goals, and inform senior leadership decisions.
What You'll Bring:
- A keen commercial acumen and the ability to link data insights to business strategy
- Expertise in data modeling, SQL, and data visualization
- Strong analytical skills and experience with advanced statistics and predictive modeling
- Excellent communication skills to present findings to both technical and non-technical audiences
- A collaborative spirit and the ability to work effectively with cross-functional teams
- Problem-solving skills and attention to detail
- A curious mind and a passion for continuous learning
- A commitment to high ethical standards and data quality
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