Senior Data Analyst – AI/ML, Analytics

This is a fully remote position, open to applicants in United States.

📋 Description

• Extract data from relational databases, EDW, Foundry, and various other sources for analytical purposes.

• Collaborate with operational business stakeholders to determine initiatives and resolve business challenges through data analysis and advanced analytics.

• Conduct quality assurance on reporting and dashboard outputs.

• Ensure alignment of business requirements with data and analytical solutions.

• Identify issues in current processes and business dependencies.

• Organize and facilitate requirements gathering throughout discovery, analysis, value validation, design, and testing phases.

• Work closely with functional analysts and business process owners.

• Monitor changes in the business environment and suggest opportunities for enhancing analytics.

• Develop Tableau Standard Operating Procedures for peer reference and knowledge sharing.

• Collaborate with data scientists, AI/ML engineers, data engineers, and business stakeholders on AI and machine learning projects.

• Prepare data for AI/ML models and assist in model development, validation, and performance evaluation.

• Support Generative AI and LLM initiatives, including identifying business use cases and assessing AI-generated outputs.

• Create reports, dashboards, data queries, ensure data quality, and provide ETL support for data warehousing and business intelligence initiatives.

⛳️ Requirements

• Bachelor’s degree with 7 years of experience in Business Intelligence development or data processing/analytical roles, or a combination thereof.

• Minimum of 5 years of experience in an analytical position.

• Current BI or NACLC Public Trust security clearance is required; sponsorship is not offered.

• U.S. citizenship is mandatory.

• Extensive hands-on experience with Tableau, including Tableau Desktop, Tableau Server/Cloud, dashboard design, data visualization, reporting, and analytics.

• Proficiency in SAS development, including SAS/Macro, Data Step, and SAS/Access.

• Experience with Enterprise Guide and Enterprise Miner/SAS Data Mining procedures is advantageous.

• Strong SQL capabilities and Tableau development expertise.

• Excellent conceptual, analytical, and decision-making skills.

• Proven experience collaborating with data scientists, AI/ML engineers, data engineers, and business stakeholders.

• Background in preparing data for AI/ML models and supporting model development, validation, and performance assessment.

• Familiarity with Generative AI and LLM initiatives, including identifying business use cases and evaluating AI-generated results.

• Proficiency in Python libraries and tools such as Pandas, NumPy, and scikit-learn.

• Strong leadership, communication, and writing skills.

• Ability to illustrate the future potential and advantages of analytics activities to clients.

• Experience in designing and developing Tableau dashboards.

• Quality assurance and validation experience in comparing multiple data sources.

• Experience in building or operating production systems that integrate generative AI/LLMs.

• Solid understanding of AI output evaluation and quality assessment.

• Skills in backend or full-stack engineering, including data flow, APIs, and deployment.

• Experience in prompt engineering and iterative model tuning.

• Capability to work independently, manage a backlog, and balance delivery speed with precision.

🏝️ Benefits

• 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.