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