Customer Lifecycle Marketing Analyst focused on data activation across lifecycle campaigns. Collaborating to translate business questions into data requirements and enable effective measurement and optimisation.
Responsibilities
Customer Lifecycle Analytics You will collaborate with Customer, Product, and Product Marketing teams to build a unified view of the customer experience across the lifecycle, using segmentation and cohort analysis to uncover insights. You’ll continuously learn from customer behaviour and feedback, feeding those learnings back into future campaigns and tactics so our programs stay relevant and impactful.
Campaign Performance, Reporting & Optimisation You will consistently monitor, iterate, and report on lifecycle campaigns by reviewing multi-channel communication performance, engagement, product adoption, and attach data. Working cross‑functionally, you’ll help define reporting metrics, run post‑campaign (PCA) analysis, identify optimisation opportunities, and clearly define success metrics for every program so we can measure, compare, and improve over time.
Data Enablement & Audience Strategy You will collaborate with Strategic Operations and data teams to design and refine audience pathways for customer communications and commercial programs, ensuring we can target, segment, and orchestrate journeys effectively across the funnel.
Requirements
2 - 3 years experience in an analytical role (Business Analyst, Data Analyst, Marketing Analyst or similar)
Bachelor degree in quantitative field (Business, Finance, Statistics, Data Science, Engineering)
Strong analytics skills and good understanding of the customer lifecycle marketing funnel.
Experience working with complex audience segmentations.
Takes end-to-end accountability for campaign analytics, from cohort identification to post campaign analysis.
Rockstar collaborator who loves working with many stakeholders to produce a great customer outcome.
Thrives on the pace of a high growth tech environment and works at speed while delivering a high quality outcome.
Self-starter and multitasker; comfortable juggling and managing multiple projects and driving them to completion.
Strong knowledge in SQL for extracting, manipulating and interpreting data (Snowflake / Databricks or similar).
Strong knowledge in MS Excel/Google Sheet including pivot table, vlookup, transformation, visualisation
Proficiency in creating dashboards and visualisations using BI platforms like Tableau, Looker Studio, PowerBI or similar.
Experience in using Customer Data Platform like Hightouch to connect data points from data warehouse to crm tool.
Benefits
Equity packages for you to be a part of the SiteMinder journey
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