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Growth Data Scientist/Analyst (copy)
LondonSource: WhatJobs
£60,000–£80,000
We are seeking a dynamic Growth Data Scientist/Analyst to join our Growth team. The successful candidate will be instrumental in leveraging data to drive strategic decisions, optimize growth initiatives, and enhance user acquisition strategies.
Responsibilities
Data Analysis and Visualization
Design, develop, and maintain interactive dashboards in Tableau to support both recurring and ad-hoc reporting needs across various growth functions and leadership teams, enabling real-time performance tracking and insights
Write and optimize SQL queries to analyze large-scale datasets, supporting initiatives like user acquisition optimization, campaign performance evaluation, and customer lifecycle management to drive business growth
Partner with cross-functional teams—including growth, product, data engineering, and external vendors—to improve data infrastructure, ensuring accurate, scalable, and efficient data pipelines that support business goals
Streamline and automate recurring data workflows and processes, manage SQL automation and job scheduling, and maintain thorough documentation to enhance team productivity and data reliability
Develop advanced analytical models to inform marketing strategies, including predictive analytics and marketing mix modeling, providing actionable insights for campaign planning and optimization
Leverage statistical techniques and business intelligence tools to uncover trends, patterns, and opportunities that inform strategic growth decisions
Collaborate closely with cross-functional stakeholders to implement data-driven solutions and support end-to-end project delivery, ensuring alignment with business objectives and timelines
Stay proactive in professional development by exploring emerging tools and methodologies in data science and analytics, continuously enhancing analytical capabilities and industry knowledge
Requirements
Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Engineering, Information Systems, or related fields
2+ years of experience in data analysis or a related field. Experience in the Crypto and Technology industry is a plus
Proficiency in SQL, Databricks, and Tableau for processing, analyzing, and visualizing large datasets
Experience with statistical software (e.g., R, Python) and libraries for managing, manipulating, and analyzing data
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at querying, report writing, and presenting findings
Understanding of digital marketing concepts, such as user acquisition (organic, non-organic, partnerships, etc.), campaign management, and customer lifecycle management
Familiarity with tools like AppsFlyer, Google Tag Manager, Google Analytics, and SensorTower
Strong communication skills to effectively convey complex data insights to non-technical stakeholders and to translate business needs into technical and data requirements
Ability to thrive in a fast-paced environment, manage multiple projects, and adapt to shifting priorities
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