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About the role
Key responsibilities & impact- Collaborate with Business Product Owner to understand business problems, objectives, and data requirements.
- Assess feasibility of potential analytics use cases, including data availability, complexity, and analytical approaches.
- Contribute analytical input to business cases, ensuring technical viability and realistic effort estimates.
- Conduct hands‑on data exploration and statistical analysis to support model development and insight generation.
- Identify, assess, and prepare relevant data sources in collaboration with Data Engineering.
- Build prototypes, descriptive insights, and statistical analyses that guide model refinement.
- Collaborate with Digital IT teams (primarily AI/ML COE, D&A, and GCSS) to support solution development and deployment.
- Lead analytical validation activities through structured testing.
- Translate analytical findings into clear, business‑relevant insights and recommendations.
- Identify opportunities to refine or improve solutions based on user feedback and performance metrics.
- Support Agile delivery processes by participating in ceremonies and providing analytical input to sprint planning.
- Ensure analytical deliverables adhere to required quality, documentation, and governance standards.
- Support post‑deployment monitoring, including reviewing model performance and recommending improvements.
Requirements
What you’ll need- A four-year degree or higher in Information Systems, Computer Science, Engineering, Chemistry, or a related discipline; or equivalent experience.
- 3+ years of experience in IT, data analytics, or a related technical field.
- Proven hands‑on analytical skills, ideally with experience in data analysis, statistical methods, or AI/ML delivery.
- Exceptional written and verbal communication skills, including the ability to create clear technical documentation.
- Familiarity with Agile methodologies and analytics delivery frameworks.
- Understanding of the AI/ML lifecycle (data preparation, model development, validation, deployment, monitoring) is advantageous.
- Comfortable working remotely and collaborating through virtual channels.
Benefits
Comp & perks- Health insurance
- 401(k) matching
- Flexible work arrangements
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisstatistical methodsAI/ML deliverydata preparationmodel developmentvalidationdeploymentmonitoringanalytical approachesprototyping
Soft Skills
collaborationcommunicationanalytical skillsproblem-solvinguser feedback incorporationdocumentationleadershipadaptabilityattention to detailcritical thinking