Senior Manager, Analytics & Commercials (Loyalty & CRM)

The future of Customer Analytics? It's Super Proper.

We're looking for a leader who turns data into decisions and insights into revenue. You sit at the intersection of analytics, strategy, and commercial impact — the person who can build a cohort analysis in the morning, present an LTV model to a CMO in the afternoon, and still find time to help the CRM team design a better segmentation strategy.

This isn't a role for someone who just reports on what happened. You shape what happens next. You'll lead analytics, financial modeling and performance measurement across CRM and loyalty programs, building the business cases that justify investment and the insights that drive optimization. You work with messy data, clean it up, structure it and turn it into frameworks, roadmaps, and clear commercial recommendations.

Super Proper is a multi-disciplinary advertising studio uniting creative, insight, and performance experts under one roof. Launched in November 2024, we're already working with Audi, Kicking Horse Coffee, Rexall, Johnson & Johnson, Planet Fitness, FanDuel, UFC & WWE and more across US and Canadian markets. You'll collaborate with CRM strategists, lifecycle managers, performance media teams, and senior client stakeholders who need you to quantify impact and prove value.

What you'll do

• Own data ingestion and structuring: ingest, clean, and structure client data across multiple sources (CRM platforms, transaction systems, web analytics, media platforms) to enable analysis, segmentation, and targeting.
• Build customer segments and cohorts: develop segmentation frameworks, cohort analyses, and lifecycle views that inform CRM and loyalty strategies. You know how to slice data to reveal patterns that drive action.
• Identify insights across key metrics: analyze retention rates, purchase frequency, churn risk, customer lifetime value, and engagement trends to uncover opportunities and diagnose issues.
• Develop business cases and ROI models: build financial models and ROI projections for CRM and loyalty initiatives. You quantify the value of retention programs, loyalty tiers, lifecycle campaigns and channel investments.
• Translate analysis into recommendations: deliver insights that are clear, actionable, and tied to business outcomes. You don't just present data - you tell the story of what it means and what to do about it.
• Deliver structured reporting: create dashboards, insight summaries, and performance reports for internal teams and clients that clearly communicate commercial implications and next steps.
• Support bottom-funnel performance analytics: contribute to paid media and social analytics including performance targets, KPI setting, cross-channel reporting, audience segmentation, and optimization recommendations.
• Work across varying data maturity levels: some clients have sophisticated data infrastructure; others have spreadsheets and gut instinct. You adapt your approach to meet clients where they are and help them level up.

What you bring

• 6 - 9 years of experience in analytics, strategy, or commercial roles - ideally with exposure to CRM, loyalty, retention marketing or performance marketing.
• Strong analytical and technical skills:
  • SQL for data extraction and manipulation (required or strong willingness to learn)
  • Excel/Google Sheets for modeling and analysis (pivot tables, lookups, formulas)
  • Familiarity with GA4, Power BI, Tableau, or similar visualization/reporting tools
  • Experience with CRM or CDP platforms (Klaviyo, Braze, Salesforce, Segment, etc.) is a plus
• Expertise in key analytical frameworks:
  • Cohort analysis and retention modeling
  • Customer segmentation and RFM analysis
  • A/B testing design and statistical significance
  • Lifetime value (LTV) and customer acquisition cost (CAC) modeling
• Ability to build business cases: you can quantify impact, build ROI models, calculate incremental revenue, and present financial projections that justify investment.
• Commercial mindset: you understand how analytics drives business outcomes. You think in terms of revenue, margin, retention, and growth—not just metrics.
• Comfortable with messy data: you've worked across multiple data sources, inconsistent naming conventions, incomplete datasets, and varying levels of client data maturity. You know how to clean, structure, and make sense of it.
• Clear communication and storytelling: you translate complex analysis into clear business recommendations. You present to senior stakeholders with confidence and tailor your message to the audience.
• Cross-channel fluency: exposure to performance marketing metrics (ROAS, CPA, conversion rates) and an understanding of how CRM and paid media work together is a strong asset.
• Curiosity about what's next: interested in how AI, predictive modeling, and advanced analytics are transforming CRM and loyalty. You're excited to experiment with new approaches and push the practice forward.

For more info please reach out to the team with your resume, portfolio, and/or recent examples of your work: [email protected].

About Tadiem

Tadiem is proud to foster a culture of talent and decency, in equal measure. Our people are our priority and we work hard to cultivate an environment where they can do the best work of their careers. Some of the ways we do this are:

• A truly hybrid work environment that balances the best of both worlds.
• A recognition that in service industries the work load ebbs and flows and we balance that with an additional 10 days to rest and recharge on top of your vacation entitlement to support work life balance.
• The ability to invest in your future, today and tomorrow, with a little extra help from the company DPSP (RSP matching) program.
• A comprehensive benefits package.
• Support from a pool of experts across various disciplines to learn from and collaborate with as well as the autonomy to be the CEO of your career.

As an equal opportunity employer our goal is to build a diverse workforce that is representative, at all job levels, of the world we live in. If you require any accommodations during the selection process, please reach out.

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