Manager – Marketing Analytics

Role Overview

This role operates at the intersection of business, data, and technology, translating business objectives into scalable analytics solutions.

What You Will Do

The role enables data-driven decision-making through trusted data models, KPI frameworks, and actionable insights.

Why It Might Be a Fit

The position partners closely with business and technical stakeholders to modernize analytics capabilities, improve data governance, and deliver measurable business value.

Requirements

• Bachelor’s degree in Data Analytics, Computer Science, Statistics, Mathematics, Engineering, Marketing Analytics, or a related quantitative discipline.
• 5+ years of experience in Analytics Engineering, Business Intelligence, Data Analytics, or Marketing Analytics roles.
• Proven experience designing scalable analytical solutions that support enterprise decision-making.
• Advanced proficiency in SQL for data modeling, transformation, optimization, and advanced analytics.
• Strong hands-on experience with Microsoft Fabric.
• Experience building and maintaining enterprise-grade analytics engineering frameworks, including data models, reusable metrics, and reporting layers.
• Strong understanding of dimensional modeling, star schemas, semantic modeling, and best practices.
• Experience developing and optimizing ETL/ELT pipelines to ensure reliable and scalable data delivery.
• Advanced proficiency in Power BI, including DAX, Power Query, semantic models, dashboard development, and performance optimization.
• Experience designing executive dashboards, KPI scorecards, and self-service analytics solutions.
• Ability to translate complex datasets into actionable business insights and compelling visual storytelling.
• Experience performing customer segmentation, predictive analytics, trend analysis, forecasting, and marketing performance measurement.
• Strong understanding of experimentation frameworks, A/B testing, statistical analysis, and performance attribution methodologies.
• Proficiency in Python for data analysis, automation, and advanced analytical modeling.
• Experience leveraging AI and machine learning capabilities within Microsoft Fabric or Azure ecosystems to drive business insights.
• Experience working with cloud-based analytics platforms and modern data architectures.
• Understanding of medallion architecture, data lake concepts, and enterprise-scale analytical environments.
• Familiarity with Azure Data Services, Databricks, Spark, and distributed data processing frameworks is considered an asset.
• Experience implementing scalable, governed, and reusable data products that support cross-functional business needs.
• Ability to bridge business requirements and technical implementation through strong stakeholder engagement.
• Experience partnering with Marketing, Product, Finance, Sales, and senior leadership teams to define metrics and measurement strategies.
• Strong communication skills with the ability to present analytical findings and recommendations to executive audiences.
• Demonstrated ability to lead analytics initiatives from requirements gathering through deployment and adoption.
• Microsoft Fabric Analytics Engineer Associate certification or equivalent.
• Experience implementing enterprise analytics modernization initiatives.
• Knowledge of DevOps, CI/CD practices, and analytics engineering best practices.
• Experience establishing standardized KPI frameworks and governed business metrics across large organizations.

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Life insurance
• Disability insurance
• Paid time off
• Vacation days
• Sick days
• Holidays
• Bonus/commission
• Potential incentive pay

Tagged as: Data Analysis, Forecasting, Power BI, Python, SQL