Note: The job is a remote job and is open to candidates in USA. Careismatic Brands outfits healthcare professionals through a portfolio of market-leading brands serving the healthcare community worldwide. The Senior Manager, Strategy & Analytics will build the measurement infrastructure, reporting capabilities, data pipelines, dashboards, and analytical processes for the Digital Commerce organization while partnering cross-functionally to support performance measurement and business decisions.
Responsibilities
- Partner with the Tech Lead – Ecommerce and central BI team to define the Digital Commerce data architecture — establishing where data lives, how it flows between systems (Shopify, ad platforms, ESP, analytics tools), and what the reporting layer is built on
- Own the implementation and ongoing maintenance of tracking across all five brand sites — ensuring GA4, pixel infrastructure, and event-level data capture are accurate, complete, and consistent across the portfolio
- Build and maintain data pipelines that consolidate performance data from disparate sources — paid media platforms, email/SMS tools, Shopify, affiliate networks, and site analytics — into unified, reliable reporting views
- Establish data governance standards for Digital Commerce: metric definitions, naming conventions, attribution logic, and data quality checkpoints that ensure consistency across all reporting surfaces
- Collaborate with the central BI team to align on shared infrastructure, avoid duplication of effort, and ensure Digital Commerce data is appropriately integrated into enterprise-wide reporting where relevant
- Design and maintain the core suite of Digital Commerce performance dashboards — covering channel-level traffic and spend efficiency, site conversion funnel, P&L KPIs by brand and collection, email and lifecycle performance, and SEO/organic health
- Own the weekly, monthly, and quarterly reporting cadence for the Digital Commerce organization, delivering clean, accurate, and actionable performance summaries to channel owners and the SVP, Digital Commerce
- Build executive-ready reporting views that surface the metrics that matter most to leadership — revenue, new customer CAC, working media as % of sales, CVR, AOV, and margin — without requiring manual assembly each cycle
- Maintain a single source of truth for Digital Commerce KPIs, ensuring that all teams are working from consistent definitions and that discrepancies between platform-reported and internally reported numbers are identified and resolved
- Serve as the analytical resource for ad-hoc requests across the Digital Commerce org — answering questions from Site Owners, the VP Traffic, the SPM, and others that require pulling, joining, and interpreting data from multiple sources
- Go beyond descriptive reporting to identify the controllable inputs that drive business outcomes — surfacing which levers (media mix, promotional depth, content quality, site speed, lifecycle frequency) have the highest correlation with the KPIs the organization is trying to move
- Support A/B testing and experimentation programs by designing measurement frameworks, ensuring clean pre/post or control/variant data capture, and interpreting results with appropriate statistical rigor
- Conduct customer cohort and lifetime value analyses that inform acquisition efficiency targets, retention investment decisions, and new customer CAC benchmarks across brands
- Proactively surface anomalies, performance inflections, and emerging trends — not waiting to be asked but flagging signals that warrant attention before they become problems or missed opportunities
- Partner with the VP, Traffic on channel performance analytics — building the reporting infrastructure that gives paid media, lifecycle, SEO, and affiliate teams a clear view of their contribution to revenue, new customer acquisition, and working media efficiency
- Support the Site Owner directors with collection-level and brand-level performance analysis, helping them understand what is driving or dragging against their P&L targets at a granular level
- Collaborate with the Senior Product Manager on platform analytics — ensuring experiment measurement is sound, conversion funnel data is reliable, and Core Web Vitals and site performance metrics are tracked and visible
- Work with the Sr. Manager, Digital Marketing Operations to ensure reporting infrastructure supports the consolidated performance reviews and QBR materials that go to leadership
- Partner with the Director, Content Optimization to develop content performance measurement frameworks — tracking how PDP content quality and completeness correlate with conversion rate, return rate, and search rank across channels
Skills
- • 5+ years of experience in digital analytics, ecommerce analytics, or a closely related data role within a DTC or performance marketing environment
- • Strong command of GA4 — including event tracking configuration, funnel analysis, attribution modeling, and custom reporting — with hands-on experience implementing or auditing GA4 setups across ecommerce sites
- • Proficiency in SQL for data extraction, transformation, and analysis across relational databases or cloud data platforms
- • Experience building and maintaining performance dashboards in BI tools (Looker, Tableau, Power BI, or equivalent) that serve non-technical stakeholders across multiple functions
- • Demonstrated ability to work in a greenfield or early-stage analytics environment — comfortable making pragmatic architecture decisions, defining standards from scratch, and building incrementally toward a mature measurement infrastructure
- • Solid understanding of digital marketing channel mechanics — paid search, paid social, email/SMS, SEO, affiliates — sufficient to build meaningful cross-channel attribution and performance reporting
- • Experience with A/B test measurement and basic statistical concepts (significance, confidence intervals, sample sizing) — able to design measurement frameworks and interpret results correctly
- • Strong analytical storytelling skills — able to translate complex data into clear, commercially relevant insights that drive decisions rather than just describe what happened
- • Remote
- • Prolonged periods of sitting at a desk and working on a computer
- • Experience working with Shopify data (orders, products, customers, events) and familiarity with the Shopify analytics ecosystem is a strong plus
- • Familiarity with data pipeline tools (dbt, Fivetran, Stitch, or equivalent) and cloud data warehousing (BigQuery, Snowflake, Redshift) is a strong plus
- • Python or R for analysis and automation is a plus but not required
Benefits
- Bonus
- Full-time remote role
Company Overview
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