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Product Operations Analyst - Product Analytics Remote Sweden

Doit IntlBrockport, NYApril 9th, 2026
Product Operations Analyst - Product AnalyticsRemote SwedenLocationOur Product Operations Analyst - Product Analytics will be an integral part of our Global Product Management team. This role is based remotely in the East US, the UK, Ireland, Sweden, the Netherlands, Estonia and Israel.Who We AreDoiT is a global technology company that works with cloud‐driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well‐architected and scalable state—from planning to production. We help solve complex multicloud problems and drive efficiency.OpportunityWe're hiring a Product Operations Analyst to strengthen how R&D decisions are made at DoiT and to help drive our AI transformation across the organization.Reporting to the Head of Product Operations, this high‐impact individual contributor role is suited for someone with strong data, analytics, and AI experience who enjoys building scalable processes and working cross‐functionally.ResponsibilitiesProduct Measurement & InstrumentationPartner with Engineering to define and maintain event taxonomy, tracking standards, and instrumentation quality.Build and maintain scalable, self‐service dashboards for product teams.Help establish and document clear metric definitions as a shared source of truth.Contribute to improving how and what we measure as the product evolves.Leverage AI to repeatedly unlock insights and recommendations from these signals.Analytics & Data FoundationsWork within our product analytics stack (e.g., Mixpanel, Segment, Looker) to ensure accurate and accessible reporting.Build and maintain dbt models for core product entities and behaviors.Contribute to a clean, usable metric layer for business stakeholders.Help structure and analyze Voice of the Customer inputs (support, churn, NPS, sales feedback, customer interviews).Support data quality through testing, monitoring, documentation, and automation.Deploy the best AI tooling available to make our data a differentiator.Insight Generation & ReportingContribute to analytics readouts to business stakeholders and executives with clear findings and recommendations.Perform analyses that connect product behavior to revenue and retention outcomes.Support automated reporting and AI‐assisted workflows while maintaining metric integrity.Strive to make insights and reporting automated and self‐service, heavily assisted through best practices with emerging AI techniques.Qualifications5+ years of experience in product analytics or related roles, working closely with digital product teams and influencing decisions through data.AI‐first mentality and practical understanding of how AI reshapes analytics workflows; experience using AI to accelerate insight generation, documentation, and distribution.Systems thinker and operator's mindset with a track record of building systems that scale across many groups.A "Builder" mindset, moving fast to create missing processes, systems, tools, data, or buy‐in.Comfort operating in ambiguity; ability to prioritize, structure problems, and execute independently while collaborating across teams.Clear communicator with experience presenting analysis to product managers and business stakeholders, translating complex findings into actionable recommendations.Strong analytical foundation with advanced SQL, event‐based analytics, and familiarity with tools such as Mixpanel or similar, Looker or similar BI tools, Segment or similar, dbt.Domain familiarity (preferred): exposure to public cloud environments (AWS, GCP, Azure), FinOps/cloud cost management, and enterprise SaaS company concepts.Success MetricsProduct teams rely on analytics to evaluate feature performance and guide roadmap decisions.Core product metrics are clearly defined, trusted, and consistently used.Product insights contribute to improvements in adoption, engagement, and retention.Voice of the Customer signals are organized and incorporated into feedback loops.Data is readily accessible, well‐documented, and clear, enabling efficient decision‐making.Analytics and insights are available quickly and require less manual effort.AI is used across the product operating model to incorporate signals into every decision across Product, Design, and Engineering.AI‐driven insights are systematically integrated to inform and optimize critical decision‐making throughout every phase of product lifecycle.BenefitsUnlimited VacationFlexible Working OptionsHealth InsuranceEmployee Stock Option PlanProfessional Development StipendDoiT is an equal‐opportunity employer. We do not discriminate on the basis of race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected class.We actively cultivate an inclusive, equitable workplace and celebrate differences. By fostering diverse perspectives, we enhance our innovation and collective success.#J-18808-Ljbffr