Ciklum is looking for an Analytics Engineer to join our team full time in Canada. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

As an Analytics Engineer, you will be at the forefront of transforming raw data into reliable enterprise data assets that enable strategic decision‑making across the organization. Yourfocus will be building and productionalizing new Subscriptions data sets from the ground up, ensuring they support universal analytics needs for critical aspects of the business. You will collaborate closely with stakeholders to understand business needs, translate domain expertise into actionable data logic, and help shape the future of data-driven insights at scale.

This role requires deep technical expertise in analytics engineering, a keen understanding of stakeholder needs, and the ability to drive alignment on data sets that serve as the single source of truth. You will support the creation and initial operationalization of data pipelines, while ensuring smooth transitions to long‑term ownership by data engineering teams.

Clarity & Trust: You have built data sets that are trusted across the organization, enabling consistent, high-quality insights Scalability & Extensibility: The data assets you create are scalable and flexible, ready to adapt to future needs without major rework Cross-functional Alignment: You've driven alignment between business, data, and engineering teams, ensuring that data logic is both widely accepted and operationally feasible Build Enterprise Data Assets (0 → 1):



Lead efforts to create new data sets from scratch, focusing on foundational analytics assets that serve universal business purposes Establish widely accepted logic for critical data sets, driving alignment on a single source of truth that reduces confusion, rework, and analytical overhead Set Analytics Requirements: Collaborate with business stakeholders to capture data requirements, ensuring that new data assets are both fit for purpose and future‑proof Translate Domain Expertise into Data Logic: Work with domain experts to convert their knowledge into computational logic that underpins new data sets Productionalize Data Sets: Build and deploy v1 data sets in a way that allows the business to benefit immediately from their insights, while ensuring scalability and maintainability Implement alerting mechanisms to ensure that data sets are monitored effectively, with issues flagged to appropriate teams for timely resolution Enable data exports to external parties by supporting development and testing of reporting data sets Help stakeholders manage changes to business logic and analytics requirements, especially when upstream data sets evolve (e.g., claim rewrite, coupon migration)



Bachelor'sorMaster'sdegreeinComputerScience,DataScience,Analytics,ora related field ~4+yearsofexperienceindataengineering,analyticsengineering,orrelatedfields,with a proven track record of building and maintaining large-scale data assets ~ StrongprogrammingskillsinPythonfordatamanipulation,automation,andbuilding data pipelines. ExperiencewithclouddataplatformssuchasSnowflake,BigQuery,orAWS Redshift, including working with cloud-native tools for data integration and transformation ~ Familiaritywithdatamodelingconceptssuchasstar/snowflakeschemasandbuilding logical and physical data models for analytics use cases ~ ProficiencywithBItoolssuchasTableau,Looker,orPowerBIfordashboardingand data visualization ~ Experienceworkingwithdatagovernanceanddataqualityframeworkstoensure compliance and accuracy of enterprise data ~ Strongunderstandingofanalyticsworkflows,fromdatacollectiontoprocessingand analysis,with experience indata lineageanddata catalogingtools (e.g.,Excellentproblem-solvingandcommunicationskills,withtheabilitytonavigatecomplex business needs and translate them into technical requirements Experienceinthehealthcare,health-tech,orsimilarindustries,withexposuretoworking withhealthcare data(e.g., claims, EHR, or HCP data) Priorexperienceworkingwithdiversedatatypes,includingeventdata,transactional data, andmarketing data Strong community: Take on large-scale projects with a global impact and expand your expertise Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications Care: Healthcare, Basic Life Insurance, Short and Long‑term disability insurance according to the Company's Benefit Plans At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you'll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress.

📌 Performance Management Engineer (Toronto)
🏢 Socket.dev
📍 Toronto