Data Analyst III

About the role

The Data Analyst III will lead large-scale, cross-functional analytics projects, mentor Data Analyst I and II roles, and drive the adoption of AI and automation across the organization. Responsible for strategic analytics initiatives and ensuring best practices in data governance and advanced analytics.

Responsibilities

• Lead initiatives to create new reports, metrics and dashboards based on business needs.
• Uses data analysis/modeling to create new reports.
• Troubleshoot and modify existing reports including Target KPIs, commodity indices, cost savings opportunities, etc.
• Lead the design and deployment of enterprise-wide analytics solutions, integrating AI and machine learning for forecasting, optimization, and strategic decision support.
• Architect and maintain scalable data pipelines and infrastructure using cloud and big data technologies.
• Develop and implement advanced statistical models and AI algorithms to uncover deep insights and drive business transformation.
• Mentor and train junior analysts on modern tools, methodologies, and AI applications.
• Ensure compliance with data privacy, ethics, and governance standards.
• Present complex findings to technical and non-technical audiences, influencing strategic decisions.

Requirements

• Education: Bachelor’s degree or equivalent in Business Administration, Information Systems, or related discipline.
• Work Experience: 8+ years’ experience managing databases, providing timely user support, and writing reports, or equivalent combination of education and experience.
• Knowledge of structured and unstructured databases and data analysis techniques.
• Expert quantitative skills with strong proficiency of business software (SAP, Kinaxis).
• Advanced proficiency in Python, R, SQL, and cloud analytics platforms (AWS, Azure, Snowflake, Google Cloud).
• Deep experience with AI/ML frameworks, big data tools (Spark, Hadoop), and advanced visualization platforms.
• Knowledge of data engineering, automation, and orchestration tools.
• Strong leadership, project management, problem-solving, critical thinking, and communication skills.
• Strong ability to take complex information and convey it to various levels of the organization in a clear and concise manner.
• Ability to create and deliver presentations to technical and non-technical audiences.
• Ability to drive innovation in analytics through continuous learning and adoption of emerging technologies.

Qualifications

• Education: Bachelor’s degree or equivalent in Business Administration, Information Systems, or related discipline.
• Work Experience: 8+ years’ experience managing databases, providing timely user support, and writing reports, or equivalent combination of education and experience.
• Knowledge of structured and unstructured databases and data analysis techniques.
• Expert quantitative skills with strong proficiency of business software (SAP, Kinaxis).
• Advanced proficiency in Python, R, SQL, and cloud analytics platforms (AWS, Azure, Snowflake, Google Cloud).
• Deep experience with AI/ML frameworks, big data tools (Spark, Hadoop), and advanced visualization platforms.
• Knowledge of data engineering, automation, and orchestration tools.
• Strong leadership, project management, problem-solving, critical thinking, and communication skills.
• Strong ability to take complex information and convey it to various levels of the organization in a clear and concise manner.
• Ability to create and deliver presentations to technical and non-technical audiences.
• Ability to drive innovation in analytics through continuous learning and adoption of emerging technologies.

Skills

• Python
• R
• SQL
• Cloud Analytics Platforms (AWS, Azure, Snowflake, Google Cloud)
• AI/ML Frameworks
• Big Data Tools (Spark, Hadoop)
• Advanced Visualization Platforms
• Data Engineering
• Data Automation
• Data Orchestration

Benefits

• Competitive and comprehensive Total Rewards Program.
• Free HSA funds.
• New fertility offering with stipend.
• Group life and disability.
• Paid parental leave.
• 401k plus profit sharing.
• Employee Stock Purchase Program.
• Upgraded and streamlined mental health platform.
• Extensive learning and development opportunities.
• Education benefits.
• Student debt relief program.
• Pet insurance.
• Wellness challenges and support.
• Paid time off.
• Employee Resource Groups (ERG’s).

Pay

The estimated base salary range for this position is $107,900 to $148,400 at the time of posting. Actual compensation will be provided in writing at the time of offer, if applicable, and is based on several factors we believe fairly and accurately impact compensation, including geographic location, experience, knowledge, skills, abilities, and other job permitted factors.

Schedule

This position is eligible for a variable annual bonus, which is dependent upon achievement of your individual objectives and Company performance.