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The Great Sussex Way

Data Analyst III

The Great Sussex Way

Data Analyst III transforming data into actionable insights at IXIS. Collaborating with stakeholders and building predictive models and visualizations for business strategies.

Posted 6/24/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
CloudPythonSQL

About the role

Key responsibilities & impact
  • Conduct exploratory analyses across large, complex, and disparate datasets
  • Identify meaningful trends, patterns, anomalies, and opportunities hidden within data
  • Develop clear, compelling narratives that connect analytical findings to business outcomes
  • Translate complex analytical results into actionable recommendations for technical and non-technical audiences
  • Develop and evaluate predictive models, forecasting methodologies, segmentation frameworks, and advanced analytical solutions
  • Design and execute statistical analyses, hypothesis tests, experiments, and measurement frameworks
  • Support machine learning initiatives by preparing data, validating outputs, and measuring performance
  • Build and maintain executive dashboards and self-service analytics solutions within the ATLAS platform
  • Create intuitive visualizations that simplify complex datasets and support strategic decision-making
  • Improve reporting frameworks, visualization standards, and analytical methodologies
  • Extract, transform, and analyze data from APIs, databases, cloud platforms, and third-party systems
  • Build reproducible analytical workflows using SQL, Python, Git, and modern analytics tools
  • Contribute to scalable data models and analytical infrastructure
  • Collaborate directly with clients and internal stakeholders to solve business challenges
  • Support strategic planning initiatives through quantitative and qualitative research
  • Serve as a trusted analytical advisor for both internal teams and external partners
  • Identify opportunities to improve existing processes, methodologies, products, and analytical frameworks
  • Evaluate emerging technologies, AI tools, and analytical techniques
  • Help shape the future roadmap of the ATLAS platform

Requirements

What you’ll need
  • Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, Engineering, or a related quantitative discipline
  • 5–8+ years of experience in analytics, business intelligence, data science, consulting, or related fields
  • Advanced SQL skills with experience querying and optimizing large datasets
  • Strong proficiency in Python, R, or both
  • Deep understanding of statistical methods, experimental design, and hypothesis testing
  • Experience building dashboards and visual analytics solutions
  • Exceptional problem-solving abilities and analytical thinking
  • Strong communication and storytelling skills with the ability to present complex findings clearly

Benefits

Comp & perks
  • Competitive compensation
  • Health, dental, and vision insurance
  • Short-term and long-term disability coverage
  • 401(k) with company match
  • Wellness program
  • Professional development opportunities
  • Flexible hybrid work environment
  • Significant career growth potential

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
SQLPythonRstatistical methodsexperimental designhypothesis testingpredictive modelsforecasting methodologiesdata visualizationanalytical solutions
Soft Skills
problem-solvinganalytical thinkingcommunicationstorytellingcollaborationstrategic planningadvisory skillsprocess improvementclient engagementdata-driven decision making