Senior Data Analyst - AI/ML & Analytics
- Extract data from a variety of sources, such as relational database, EDW and Foundry for use in analysis
- Engage with operational business stakeholders to identify key initiatives and execute solutions to business problems using data analysis and advanced analytics
- Perform quality assurance of reporting and dashboard deliverables to ensure quality of both data and analysis
- Work collaboratively to align business requirements with data and analytical solutions while empowering business to draw insights and analyze data while Identify areas of concern of as-is processes and business dependencies
- Coordinating and facilitating requirement gathering, playing an active role in the discovery, analysis, value validation, design, and testing phases. Ideate with functional analysts and business process owners
- Monitors changes in business, making recommendations where analytics can further improve business
- Create Tableau related Standard Operating Procedures (SOP)
- Document development for peer reference and knowledge transfer
- Bachelor’s degree with 7 years of Business Intelligence development, or data processing/analytical experience or combination thereof.
- At least 5 years of work experience in analytical role
- Extensive hands-on experience with Tableau, including Desktop, Tableau Server/Cloud, dashboard design and development, data visualization, reporting, and analytics
- Experience with SAS development, including the use of SAS/Macro, Data Step, and SAS/Access. Experience of Enterprise Guide and Enterprise Miner / SAS Data Mining procedures a plus.
- Strong SQL skills and Tableau development experience
- Strong conceptual, analytical, and decision-making skills
- Partner with data scientists, AI/ML engineers, data engineers, and business stakeholders on AI and machine learning initiatives .
- Analyze and prepare data for AI/ML models and support model development, validation, and performance analysis.
- Support Generative AI and LLM-related initiatives , including identifying business use cases and evaluating AI-generated outputs.
- Apply Python libraries and tools such as Pandas, NumPy, and scikit-learn for data analysis and analytical modeling.
- Must have good leadership, communication and writing skills. Ability to show the future and benefits of analytics activities to the client.
- Extensive experience in Tableau dashboard design and development
- Quality assurance and validation experience, specifically comparing multiple data sources for discrepancies and inconsistencies
- Experience building or operating production systems that integrate generative AI/LLMs, beyond prototype or experimental work.
- Strong understanding of AI output evaluation and quality assessment, not just system uptime.
- Backend or full‑stack engineering skills to own the surrounding pipeline including data flow, APIs, and deployment.
- Comfortable with prompt engineering and iterative model tuning as a continuous responsibility.
- Ability to work independently, manage a backlog, and balance delivery speed with accuracy in high‑precision domains.
Eligible employees have access to a comprehensive benefits package, which currently includes:
- Medical, dental, and vision insurance
- 401(k) retirement plan
- Paid time off (PTO)
- Company-paid holidays
- Short-term and long-term disability insurance
- Life insurance
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