Data Analyst III

IXIS

1d•Hybrid

About The Position

IXIS is seeking a highly analytical, intellectually curious, and technically skilled Data Analyst III to join our Analytics team. This is not a traditional reporting role. You will work directly with large-scale datasets, predictive models, AI-powered analytics solutions, and executive stakeholders to solve complex business problems. The ideal candidate is equally comfortable writing advanced SQL, building statistical models, designing dashboards, and presenting strategic recommendations to clients and leadership teams. You'll partner closely with data engineers, software developers, strategists, and product leaders to help drive innovation across our ATLAS platform and client engagements. This role is ideal for someone who enjoys turning ambiguity into clarity and using data to influence real business decisions.

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
Demonstrated ability to work independently in ambiguous environments

Nice To Haves

Predictive modeling and machine learning
Customer analytics and segmentation
Marketing analytics and attribution
Digital analytics (Google Analytics, Adobe Analytics, GA4)
Retail, automotive, or e-commerce analytics
Cloud analytics environments (AWS, Azure, or GCP)
API integrations and automated data pipelines
Data engineering and ETL workflows
Git-based development workflows
Agile/Scrum environments
Generative AI and AI-assisted analytics

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