Business Intelligence Analyst III, Marketing Analytics

About the Role

Key Responsibilities

• Design, build, and automate user friendly PowerBI dashboards to enable data-driven decision making by our stakeholders, including developing data quality frameworks, creating standardized reporting templates, conducting advanced customer segmentation analyses, and conducting advanced modeling decile analyses.
• Support strategic planning with actionable data-driven insights.
• Track marketing initiatives, produce 360-degree campaign results analysis, validate against forecast and plan, proactively identify actionable opportunities for results improvement, and provide status reports and strategic recommendations to business stakeholders.
• Collaborate with marketing stakeholders to identify business questions and challenges, then perform appropriate analyses and deliver actionable insights and recommendations.
• Work with marketing data team and service providers to ensure data is complete, correct, and suitable for analysis.
• Design and conduct hypothesis testing (A/B testing and multi-variate testing) to evaluate the effectiveness of marketing activities or strategies.
• Maintain clean and organized documentation of data, methodologies, and results in a central depository.
• Identify opportunities for automation in existing processes to improve overall efficiency and recommend new processes to enhance performance.
• Back up data scientists and modelers whenever required, including building statistical models using ML/AI platforms and algorithms.
• Actively seek out innovation and optimization use cases and experiments that will result in organizational transformation and sales and profit improvements.

Requirements

• Proficiency in SQL, Python or R, and visualization tools such as Power BI.
• Experience with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (Spark, Hadoop).
• Understanding of Machine Learning frameworks and version control systems (Git).
• Demonstrated ability to translate business requirements into automated reporting solutions and understanding of marketing metrics and KPIs.
• Experience with hypothesis testing, including test design and analysis in marketing contexts.
• In-depth experience with non-parametric statistics, resampling methods, or Bayesian approaches for small sample inference is preferred.
• Experience applying sequential testing or multi-armed bandit approaches.
• Knowledge of data visualization best practices and automated dashboard design.
• Understanding of compliance and Data Governance, including data privacy (GDPR, CCPA), ethical data handling, and data security.
• Strong analytical and problem-solving skills, with the ability to communicate complex findings clearly to both technical and non-technical audiences.
• Ability to maintain perspective between strategic and tactical details, and work well as part of a team.
• Excellent attention to detail and ability to maintain accuracy and consistency across analytics assets.
• Self-starter with the ability to prioritize high-impact items.

Nice to Have

• Master's degree in Statistics, Mathematics, Data Science, Business Analytics, or related field.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Business Analytics, or related field.
• 5+ years of experience in business analytics.