Senior Data Analyst

Company Description

About Sia 

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. 

Sia Experience is the marketing and creative pillar of Sia. We thrive at the intersection of strategy, consulting, and marketing communications. Our end-to-end solutions blend category-leading design, technology, and strategic insight to craft transformative experiences and connectivity. Our agency X consulting model is big enough to deliver, and small enough to be nimble. 

Job Description

This Sr. Data Analyst will be the analytical engine behind a multi-million-dollar media spend account for a leading pharma brand's AI-powered health platform. They'll transform raw performance data into business intelligence and strategic insights that drive media optimization, creative iteration, audience optimization, and cross-channel activation across owned (site, app, email, social) & paid channels to achieve goals.

Advanced Multi-Channel Analysis (80% of role) 

• Synthesize performance data across 8+ media channels (Meta, Google Ads, TikTok, CTV, etc.) plus owned channels (site, email, app, organic social) to gain learnings (audience attributes, audience behavior/trends, etc.) and identify optimization opportunities. 
• Conduct sophisticated creative performance analysis - breaking down messaging/visual elements by audience segments, funnel stage, demographics to extract actionable creative insights. 

Strategic Insight Generation 

• Work with Strategy team to design and analyze testing frameworks to identify winning elements (value propositions, high-value audience segments, etc.) within tight 3-month cycles 
• Perform deep-dive cohort analysis to understand user behavior patterns from first visit through repeat engagement 
• Contribute to weekly performance reports due to clients 
• Create predictive models for user lifetime value and retention probability (NICE TO HAVE) 

Proactive Market Intelligence 

• Monitor health/wellness search trends, seasonal patterns, and cultural moments (flu season, fitness trends, etc.) to identify campaign timing and messaging opportunities.  
• Create automated alerts and dashboards for emerging health topics that align with platform capabilities. 
• Translate external trends into specific media strategy and creative recommendations.  

Success Metrics (First 30 Days) 

• Creative Optimization: Identify 3+ winning creative elements/messages that improve conversion rates by 15%+ 
• Audience Insights: Define 2-3 high-value audience segments with 20%+ higher lifetime value than baseline 
• Trend Activation: Successfully identify and activate 2+ seasonal/cultural moments that drive above-average engagement 

This role is perfect for an analyst who thrives in fast-paced testing environments, highly curious about figuring out what works, and strategic-minded / can think in terms of effort vs reward to ensure we are only pursuing analysis or recommendations that make the most impact.

Ideal for this role: analytical, technical, understands/worked closely with marketers & advertisers, and is also business-minded and strategic. 

Qualifications

• 6+ years of experience in marketing or media analytics, with a focus on multi-channel performance analysis
• Expert proficiency in Adobe Analytics and analyzing web/app performance metrics  
• Expert proficiency in extracting & analyzing ad performance data from Meta, Google Ads (Search, Display, YouTube), TikTok, CTV, etc. and analyzing performance metrics across channels and funnel stages.  
• Strong data visualization capabilities (Tableau, Looker, or similar) 
• Experience with statistical testing methodologies and experimental design 
• Bachelor’s degree in Marketing, Statistics, Economics, Business, Data Science, or a related field

Additional Information

Compensation & Benefits 

The expected compensation for this role is $120-125k per year. The exact salary will vary depending on a wide array of factors, which may include but are not limited to skills, experience, and location. 

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