
Data Analyst
Stellartech Research Corporation
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- Evaluate marketing campaign performance, providing insights into effectiveness and ROI
- Develop and maintain dashboards and reports to track key performance indicators (KPIs) for both product monetisation and marketing performance teams
- Extract, clean, and manipulate data from various sources to ensure accuracy and integrity
- Conduct A/B testing and other experimental designs to optimize product features and marketing strategies
- Collaborate with product monetisation managers and marketing teams to understand their data needs and deliver actionable insights
- Perform customer segmentation analysis to better understand user behavior and target marketing efforts
- Provide data-driven recommendations to enhance user experience and increase customer engagement
- Utilize statistical methods and tools to identify and predict trends in product usage and market response
- Communicate findings and insights clearly and effectively to stakeholders through presentations, reports, and visualizations
- Stay updated with the latest trends and best practices in product and marketing analytics
Requirements
- Bachelor’s degree in Data Science, Statistics, Marketing, Business, or a related field (Master’s degree preferred)
- Proven experience as a Data Analyst, with a focus on both product and marketing analytics
- Understanding of user acquisition and monetisation strategies (w2w, w2a, app, etc.) as well as in-app purchases analytics
- Proficiency in data analysis tools (Jupyter Notebook) and languages such as Python, R, or similar
- Experience with data visualization tools (e.g., Tableau, Power BI)
- Strong understanding of statistical analysis, A/B testing, and experimental design
- Familiarity with marketing analytics platforms (e.g., Google Analytics, Amplitude)
- Excellent analytical and problem-solving skills
- Strong communication skills with the ability to translate complex data into understandable insights
- Experience with segmentation and predictive modeling is a plus
Benefits
- Health insurance package (Cyprus, Poland)
- Health corner in the Cyprus office
- 21 days of annual leave + 10 bank holidays
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisstatistical analysisA/B testingpredictive modelingcustomer segmentationdata cleaningdata manipulationdata visualizationuser acquisition strategiesmonetisation strategies
Soft Skills
analytical skillsproblem-solving skillscommunication skillscollaborationinsight deliverystakeholder engagementpresentation skillsadaptabilityattention to detailcritical thinking