Growth Data Scientist/Analyst - Dubai, United Arab Emirates - Stanley Mac

    Stanley Mac
    Stanley Mac Dubai, United Arab Emirates

    1 week ago

    Description

    POSITION OVERVIEW

    The Growth Data Scientist/Analyst is a strategic role focused on leveraging advanced analytics and data science techniques to drive business growth, optimize user acquisition strategies, and enhance overall organizational performance. This position requires a dynamic professional who can transform complex data into actionable insights, support cross-functional teams with data-driven decision-making, and continuously improve analytical capabilities to maintain competitive advantage in a fast-paced technology environment.

    KEY RESPONSIBILITIES
    Data Analysis & Visualization

  • Design, develop, and maintain sophisticated interactive dashboards in Tableau to support both recurring and ad-hoc reporting requirements across various growth functions and leadership teams

  • Enable real-time performance tracking and deliver actionable insights through intuitive data visualization and reporting frameworks

  • Create executive-level reports and presentations that effectively communicate complex analytical findings to diverse stakeholders

  • Establish data visualization best practices and standards across the organization to ensure consistency and clarity

    • Advanced SQL & Database Management

  • Write and optimize complex SQL queries to analyze large-scale datasets, supporting critical business initiatives

  • Conduct in-depth analysis for user acquisition optimization, campaign performance evaluation, and customer lifecycle management to drive sustainable business growth

  • Develop efficient query structures and database designs to improve data retrieval performance and analytical efficiency

  • Maintain data quality standards and implement validation procedures to ensure accuracy and reliability

    • Data Operations & Engineering

  • Partner strategically with cross-functional teams including growth, product, data engineering, and external vendors to enhance data infrastructure

  • Ensure the development and maintenance of accurate, scalable, and efficient data pipelines that support evolving business requirements

  • Implement data governance frameworks and quality assurance processes to maintain data integrity across all systems

  • Collaborate on architectural decisions to optimize data storage, processing, and accessibility

    • Process Automation & Optimization

  • Streamline and automate recurring data workflows and analytical processes to enhance operational efficiency

  • Manage SQL automation, job scheduling, and workflow orchestration to reduce manual intervention and improve reliability

  • Maintain comprehensive documentation of data processes, methodologies, and technical specifications to facilitate knowledge sharing and team productivity

  • Identify opportunities for process improvement and implement solutions that enhance team capabilities

    • Advanced Analytics & Predictive Modeling

  • Develop sophisticated analytical models to inform marketing strategies, including predictive analytics and marketing mix modeling

  • Apply statistical techniques and machine learning algorithms to uncover trends, patterns, and opportunities that drive strategic growth decisions

  • Provide actionable insights for campaign planning, optimization, and resource allocation

  • Conduct A/B testing, cohort analysis, and attribution modeling to measure and improve marketing effectiveness

    • Strategic Collaboration & Project Management

  • Collaborate closely with cross-functional stakeholders to implement data-driven solutions and support end-to-end project delivery

  • Ensure alignment with business objectives, timelines, and success metrics throughout project lifecycles

  • Translate business requirements into technical specifications and analytical frameworks

  • Manage multiple concurrent projects while maintaining quality standards and meeting deadlines



    • ​​​​​​​QUALIFICATIONS & REQUIREMENTS
    Education

  • Bachelor's degree in quantitative field such as Computer Science, Statistics, Engineering, Information Systems, Mathematics, or related discipline

  • Master's degree in Data Science, Analytics, or related field is preferred

    • Experience

  • Minimum 2+ years of progressive experience in data analysis, data science, or related analytical roles

  • Experience in cryptocurrency, blockchain, or technology industry is highly advantageous

  • Demonstrated track record of delivering actionable insights that drive business growth

  • Experience working in fast-paced, agile environments with rapidly changing priorities

    • Technical Skills

  • Database & Analytics Platforms: Advanced proficiency in SQL and experience with Databricks for data processing and analysis

  • Data Visualization: Expert-level skills in Tableau for creating interactive dashboards and visualizations

  • Programming Languages: Strong proficiency in Python and/or R for statistical analysis and data manipulation

  • Statistical Libraries: Experience with data science libraries such as pandas, NumPy, scikit-learn, matplotlib, and similar tools

  • Marketing Analytics Tools: Familiarity with AppsFlyer, Google Tag Manager, Google Analytics, and SensorTower

  • Version Control: Experience with Git and collaborative development workflows

    • Domain Knowledge

  • Strong understanding of digital marketing concepts including user acquisition strategies (organic, non-organic, partnerships)

  • Knowledge of campaign management, attribution modeling, and customer lifecycle management

  • Understanding of growth metrics, KPIs, and performance indicators relevant to digital businesses

  • Familiarity with conversion funnel optimization and retention strategies

    • Core Competencies

  • Analytical Excellence: Strong analytical skills with ability to collect, organize, analyze, and disseminate significant amounts of information with meticulous attention to detail and accuracy

  • Communication Skills: Exceptional ability to convey complex data insights to non-technical stakeholders and translate business needs into technical and data requirements

  • Problem Solving: Creative problem-solving approach with ability to identify root causes and develop effective solutions

  • Adaptability: Ability to thrive in fast-paced environments, manage multiple projects simultaneously, and adapt to shifting priorities

  • Collaboration: Strong teamwork skills with ability to work effectively across departments and with diverse stakeholders

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