What are the responsibilities and job description for the Data Analytics Specialist position at Stanley Steemer?
The Marketing Data Analytics Specialist is responsible for building, maintaining, and interpreting the data infrastructure that powers decision-making at Stanley Steemer. This role focuses on tracking and analyzing performance across market channels, service lines, and business locations. This includes building dashboards, measuring campaign impact, understanding customer behavior, and predicting growth—while using AI tools to make analysis faster and insights more accurate. This role works closely with the IT department for complex data queries and infrastructure needs.
Marketing Analytics and Performance Insights:
- Analyze performance analysis across organic and paid marketing channels, delivering insights that inform budget allocation, channel strategy, and overall marketing effectiveness.
- Analyze campaign and channel performance across search, social, programmatic, email, SEO, and direct traffic, identifying opportunities to improve efficiency, ROI, and conversion outcomes.
- Surface cross-channel insights that reveal how marketing efforts interact, amplify, or cannibalize one another.
- Translate complex data into clear, actionable insights that support strategic decision-making across marketing leadership.
Data Infrastructure, Measurement & Optimization:
- Build and maintain marketing analytics infrastructure, including dashboards, data integrations, and reporting systems (e.g., GA4, Looker, Power BI), ensuring real-time visibility into performance.
- Manage marketing measurement frameworks, including attribution modeling, conversion funnel analysis, and campaign performance evaluation.
- Design and analyze A/B and multivariate tests to drive continuous optimization and improve conversion rates.
- Ensure data accuracy, consistency, and governance across platforms, including ownership of tagging strategy, GA4 implementation, and event tracking.
- Leverage AI and automation tools to streamline reporting, identify anomalies, and accelerate insight generation.
- Partner with IT and Business Intelligence teams on complex data queries, infrastructure enhancements, and backend data needs.
Consumer Profile & Cross-Channel Data Synthesis:
- Develop and maintain a unified view of the customer by synthesizing digital, behavioral, and contact center data.
- Apply advanced analytics and modeling techniques to identify high-value segments, engagement patterns, and growth opportunities.
- Build predictive models and forecasting frameworks to project acquisition, retention, and revenue under various scenarios.
- Support budget planning and strategic initiatives through data-driven forecasts, scenario modeling, and trend analysis.
- Partner cross-functionally with Marketing, CRM, and Consumer Insights teams to align analytics with broader business strategy and drive measurable growth.
- Stay current on emerging analytics and AI capabilities, recommending new tools and approaches to enhance marketing intelligence.