Senior Data Analyst

Adyen

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.  For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Data Analyst, Customer Interfaces We are seeking a high-impact, product-minded Senior Data Analyst to join our Customer Interfaces Data team. In this role, you will be the analytical engine behind proving how our customer-facing interfaces, localized user portals, and standardized design systems drive tangible business results. You will take a holistic, outcome-oriented view of the entire customer journey, moving away from traditional, siloed reporting to design advanced metrics frameworks that optimize interface experiences and reduce user friction. You will act as a strategic partner to Product, UX Design, and Engineering, directly influencing what we build, how we measure interface adoption, and how we empower product teams to make data-driven decisions independently. What you’ll do * Own the Interface Metrics Strategy: Design, deploy, and maintain robust metrics that directly align interface performance to merchant success. * Design System Analytics: Partner with our design and frontend engineering teams to measure the adoption, usability, and UI performance of standardized design system components across all platforms. * Drive Localization Optimization: Conduct rigorous data deep dives into localized products and market-specific interfaces to ensure Adyen's products feel native, intuitive, and conversion-optimized in every region. * Execute Rigorous A/B Testing: Design and execute large-scale conversion experiments and A/B tests to validate interface design hypotheses. Partner with teams to govern UX event-based analytics tools (such as Mixpanel) to measure user behavioral patterns cleanly. * Strategic product partner: Act as a trusted data consultant for product, design, and engineering. Provide proactive recommendations, challenge assumptions, and lead impact-driven reviews of our core customer-facing systems. Who you are * Seasoned Analyst: You have 7+ years of experience in product analytics, UX analytics, or web/mobile interface behavioral data roles within a fast-paced setting. * Experimentation and statistical expert: Proven experience in designing, driving, and rigorously analyzing large-scale experiments and A/B tests, including statistical analysis, that lead to significant, scalable business impact. * Technically Proficient: Advanced SQL and Python are part of your daily toolkit. You are "Data Engineer Lite," with hands-on experience using Airflow for orchestration and PySpark/Pandas for large-scale data processing in a Big Data environment (Hadoop/Jupyter). * AI-Native Thinker: You treat AI as a powerful collaborator. You are highly skilled in prompting, validating, and debugging AI-generated code and insights, keeping a sharp eye on data quality and governance. * Effective communicator: An excellent communicator in English who can deal with ambiguity, collaborate with diverse stakeholders, and translate complex insights for both technical and non-technical audiences in a global team. * Strategic executor: You excel at breaking down complex problems, prioritizing effectively, leading impactful projects, and aligning your work with strategic goals. * Curious and scalable mindset: You possess a curious mindset, with a continuous drive to iterate, improve, and find better, scalable solutions. This role's annual base salary range is $169,000 – $232,000 plus RSUs. To learn more about our compensation philosophy, please click here. Our Diversity, Equity and Inclusion commitments  Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.  Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!   What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility. Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. All your information will be kept confidential according to EEO guidelines.   SAN FRANCISCO  Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This role is based out of our San Francisco office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Hybrus AB

We are looking for a Senior Data Analyst for our client in Stockholm, to strengthen the measurement and analysis layer around their recommendation systems, working alongside engineering & product. Employment type : Fixed term Contract Duration : 6 Months Location : Stockholm Job Type: Onsite (Potential Hybrid option) Scope of the engagement ● Own the measurement of recommendation experiments - design A/B tests, define success metrics, and deliver readouts that explain not just whether something worked but why. ● Investigate model and system behavior: ranking quality, retrieval coverage, exposure and feedback effects, and the gaps between offline metrics and online outcomes. ● Build the dashboards, data models, and self-serve tooling the team relies on to monitor recommendation health, and leave them in a state the team can maintain after the engagement. ● Partner with engineers and PMs to scope analytical questions sharply - clarifying the objective and sizing the opportunity before they turn into long projects. ● Surface insight proactively: the segment behaving oddly, the metric drifting, the counterfactual worth running. We care about the deliverables and the handover. Work should be reproducible and documented well enough that it outlives the contract. What you bring ● 5+ years in an analytics or data science role, with a track record of operating independently and delivering with minimal ramp-up. ● Direct experience with recommendation, search, ranking, ads, or another large-scale ML-driven product. ● Strong SQL and comfort with large datasets (we work in BigQuery); fluency in Python for analysis beyond SQL. ● A real grasp of experimentation - A/B testing, statistical significance, and the common traps (peeking, interference, novelty effects). ● The instinct to clarify the objective before reaching for a solution, and the discipline to separate what the data shows from what you'd like it to show. ● Clear communication: you can take a messy analysis and land a single, defensible takeaway for any audience, from an engineer to a director. ● A very good understanding and application of advanced statistics Nice to have ● Familiarity with recommender systems internals - retrieval, ranking, candidate generation, offline vs. online evaluation. ● Exposure to bandits, off-policy evaluation, or causal inference. ● Experience building data models and dashboards others depend on (dbt, Looker, or similar) Please let us know if you are interested and if yes, then apply to careers@hybrus.se with your CV, including details about Salary, Notice period and Visa Status.

Friday Väst AB

Vill du arbeta i en verksamhet där data används för att förbättra processer, effektivisera flöden och skapa bättre affärsbeslut? Har du erfarenhet av logistik eller supply chain och vill ta en roll där du får kombinera analys med ett nära samarbete mot verksamheten? Då kan detta vara tjänsten för dig! Vi söker nu en Senior Data Analyst till vår kund i Helsingborg. Här får du en strategiskt viktig roll där du blir en del av den fortsatta utvecklingen mot en mer datadriven organisation. Du kommer att arbeta nära både den operativa verksamheten och IT, med stort utrymme att påverka hur data används för att skapa värde. OM TJÄNSTEN: I rollen ansvarar du för att omvandla verksamhetsdata till insikter som bidrar till bättre beslut och effektivare arbetssätt. Du kommer att analysera stora datamängder, utveckla rapportering och stötta verksamheten med beslutsunderlag inom lager, transport och supply chain. Arbetet sker i nära dialog med både operativa chefer och tekniska funktioner, vilket gör att du blir en viktig brygga mellan affären och IT. Rollen passar dig som uppskattar att arbeta verksamhetsnära och som motiveras av att driva förbättringar baserade på data. ARBETSUPPGIFTER: Du kommer bland annat att: Ta fram analyser och uppföljningar som ger verksamheten rätt beslutsunderlag. Bygga och vidareutveckla rapporter samt dashboards i BI-verktyg. Identifiera trender, flaskhalsar och förbättringsområden i logistikflöden. Säkerställa att data håller hög kvalitet och används på ett tillförlitligt sätt. Samarbeta med IT kring utveckling av datamodeller, integrationer och automatiserade lösningar. Bidra med analyser som stöttar verksamhetens utveckling och långsiktiga mål. VI SÖKER DIG SOM:Har en bakgrund inom logistik, supply chain, tredjepartslogistik eller motsvarande Några års erfarenhet att arbeta som Data Analyst, Business Analyst eller liknande Mycket goda kunskaper i SQL Erfarenhet av Power BI eller annat BI-verktyg God förståelse för affärssystem och logistiksystem, exempelvis ERP, WMS eller TMS God kommunikativ förmåga på både svenska och engelska, då båda språken används i de dagliga arbetet. Det är inga krav, men meriterande om du: Har erfarenhet av programmering i C# eller Python Arbetat med Azure, Microsoft Fabric, Snowflake eller ETL-processer. Vidare lägger vi stor vikt på personliga egenskaper. För att lyckas i den här rollen ser vi därför att du drivs av att förstå samband och hitta förbättringsmöjligheter. Du arbetar strukturerat, tar egna initiativ och har lätt för att skapa förtroende hos olika delar av verksamheten. Genom ditt analytiska arbetssätt och din kommunikativa förmåga kan du göra komplex information lätt att förstå och användbar för organisationen. OM ANSTÄLLNINGEN: Detta är ett konsultuppdrag där du initialt blir anställd av Friday. Ambitionen från kundens sida är att efter sex månader ska övergå i en direktanställning hos kundbolaget. ÖVRIG INFORMATION:Start: Enligt överenskommelseOmfattning: HeltidPlacering: Helsingborg Kontaktperson: Vanessa Henrysson Roqueta, vanessa.roqueta@friday.se OM FRIDAY: På Friday brinner vi för att ge dig som techtalang en riktigt bra karriär. Genom att lyssna på vad just du vill och drivs av matchar vi dig med företag och möjligheter som får dig att se fram emot att gå till jobbet. Vi värderar ambition och potential högt och arbetar aktivt för en fördomsfri rekrytering där alla ges samma chans att lyckas. Vi finns i Stockholm, Göteborg, Malmö, Linköping och Örebro. Varje år genomför vi över 5 000 karriärmöten och matchar kandidater med allt från globala företag till innovativa startups.