Senior Business Analyst

The Senior Analyst is an integral member of the Enterprise Strategic Analytics + Data Science team (ESA+DS), providing analytical support and contributing to data-driven solutions that enhance business performance. This role is designed as a development path into the Analytics Consultant position, allowing candidates to gain hands-on experience in analytical methodologies, business problem-solving, and stakeholder collaboration. The Senior Analyst will assist in executing analytical projects, refining technical skills, and supporting strategic initiatives within the organization.

• Analytical Project Execution
  • Support analytical projects, applying appropriate methodologies and techniques, under the guidance of Analytics Partners.
  • Conduct data exploration, cleaning, and preparation to ensure data quality and integrity.
  • Develop and implement analytical models, leveraging statistical and machine learning techniques as needed.
  • Generate actionable insights and recommendations based on data analysis.
  • Communicate findings effectively to both technical and non-technical audiences through clear visualizations and presentations.
  • Actively participate in the implementation and deployment of analytical solutions.
• Strategic Partnership
  • Work closely with Analytics Consultants and Analytics Partners to understand business challenges and analytical needs.
  • Proactively identify opportunities to leverage analytics to drive business value and improve decision-making.
  • Translate business needs into well-defined analytical projects, outlining scope, objectives, and success metrics.
  • Conduct comprehensive business assessments and needs analyses to inform project prioritization and execution.
  • Support Analytics Partners in executing work against the strategic roadmap.
• Technical Expertise
  • Demonstrate proficiency in data analysis tools and programming languages (e.g., SQL, Python, R).
  • Utilize data visualization tools to create clear and impactful presentations.
  • Stay abreast of emerging analytical techniques and technologies.
  • Troubleshoot and resolve technical issues related to data and analysis.
  • Contribute to the development and maintenance of data pipelines and analytical infrastructure.
• Collaboration and Mentorship
  • Work closely with Data Scientists, Data Engineers, and other team members to deliver comprehensive solutions.
  • Proactively communicate with Analytics Partners regarding insights, progress and challenges with analyses.
  • Contribute to a collaborative and knowledge-sharing environment within the team.
  • Foster cross-functional collaboration and alignment to ensure successful project outcomes.

• Bachelor's degree from an accredited college or university in Business, Economics, Finance, Math, Computer Science, Statistics, or a related field required.
• Minimum of 2-4 years of experience in consulting, analytics, data science, or a related field, with demonstrated success in delivering analytical projects required.
• Strong analytical and problem-solving skills, with the ability to translate business problems into analytical frameworks required.
• Proven experience performing business analysis or financial/statistical data analysis, preferably in a retail environment required.
• Proficiency in Microsoft Excel and knowledge of Business Intelligence Tools (such as Microsoft Power BI) required.
• Knowledge of syndicated data like Circana and Nielsen is a plus.
• Knowledge of SPSS, Palantir, or Python, is a plus.
• Knowledge of cloud-based platforms (such as Databricks) is a plus.

All qualified applicants will receive consideration for employment with Race Trac without regard to their race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.