Senior Data Analyst

Ciklum•Canada,

4h•Onsite

About The Position

Ciklum is seeking a Lead/Senior Data Analyst to drive insights and strategy for their subscriptions teams. This role is ideal for an analytical thinker with strong product sense and a deep understanding of the subscription business model. The analyst will leverage data to improve customer acquisition, engagement, retention, and revenue performance. As part of the Decision Science team, they will collaborate with cross-functional partners in Product, Engineering, Marketing, Design, and Finance. The work will focus on analyzing the subscription lifecycle, defining performance metrics, designing experiments, and translating complex data into clear, actionable recommendations. The role also involves ensuring data quality and supporting the development of dashboards and tools for decision-making across the organization.

Requirements

5+ years of experience writing complex SQL, including the ability to write production-quality code with little oversight.
5+ years experience in experimental design and analysis and statistical analysis including A/B testing and other causal inference methods.
3+ years experience implementing custom tracking and creating best practices in a Customer Data Platform, such as Segment.
Experience with data visualization tools (e.g., Tableau, Looker, Power BI).
Experience with DBT or ETL environments.
Experience working with client side analytics and tagging tools such as Google Analytics and Google Tag Manager, or Amplitude.
Strong analytical thinking skills with the ability to identify patterns and trends in data.
Excellent communication and interpersonal skills to effectively collaborate with diverse stakeholders.

Nice To Haves

Experience scripting with python and working with AWS, Databricks.
Experience with subscription businesses in consumer-facing industries (e.g., healthtech, e-commerce, streaming).
Experience working in a compliance driven domain (HIPAA, PCI or others).
Strong understanding of the healthcare industry and its evolving landscape (highly preferred).

Responsibilities

Partner with Subscription Product, Design, Engineering, and Marketing teams to define KPIs, develop performance metrics, and track the customer lifecycle across acquisition, engagement, retention, and churn.
Collaborate with data engineering teams to design and implement behavior tracking and data models to evaluate subscription product performance.
Proactively conduct analyses to identify key trends and surface growth and retention opportunities across the subscription base.
Support experimentation (e.g., A/B testing), including hypothesis formation, test design, statistical analysis, and post-test insights.
Build and maintain interactive dashboards using BI tools such as Looker or Tableau to present insights to technical and non-technical stakeholders.
Leverage data visualization tools to present findings in a clear, concise, and compelling manner.
Identify and mitigate analytical gaps that impact decision-making related to our suite of subscription products.