We are currently looking for a skilled Senior Data Analyst to join our Operations team. This role will be responsible for turning complex datasets into clear insights, presenting them in useful business formats and running in-depth analysis of our datasets. The successful candidate will be expected to translate data into actionable propositions, support stakeholders in understanding and applying performance statistics, monitor fraud threats and automate data pipelines.Key ResponsibilitiesWork as a Senior Data analyst for our Operations team which is responsible for HC planning, continuous improvement, and process optimizationWork closely with the Team Leads of the different ops teams across Finance DepartmentTranslate complex datasets into clear insights and actionable propositions, presenting them in useful business formatsRun in-deep analysis of our datasets, generate hypotheses and validate them through online experimentation and AB testingSupport stakeholders in the understanding and application of performance statisticsHighlight trends and spikes to managementUpdate and maintain relevant working tools and materialsIdentify emerging risks, unusual trends and anomalies on different KPIs and metricsCreate dashboards in Tableau to monitor fraud threats behaviors and raise alerts if thresholds are exceededAutomate data pipelines, monitoring process and alert generation for end-to-end processes that involve SQL, Excel, Tableau, PythonDevelop tools and produce automatic dashboards/reporting solutions for the Operational teamsDesign, research and build presentations for Departmental managers to interface with the wider businessSupporting projects by providing reports and analysis to measure the success of new initiativesImprove processes within area including but not limited to those related to reporting, planning, and forecasting; contribute to overall effectiveness of the organizationData driven mindset and approach across all the projects, tasks and of day to day workMust haves Degree in a quantitative discipline (Statistics, Mathematics, Physics, Engineering, etc.)3+ years of relevant work experience in similar positionsAdvanced knowledge using SQL Advanced Excel userKnowledge of data visualization tools/BI tools (i.e. Tableau, PowerBI, etc.)Hands-on experience with experimentation, including design, implementation, and methodologies (e.g., hypothesis testing and regression analysis) and a solid understanding of statistical techniques for analyzing and interpreting resultsStrong analytical skills, fluency in data analysis, and data storytellingExcellent organizational skills and problem-solving capabilities with keen attention to detailExcellent communication collaboration skills, giving and receiving feedbackThink critically, creatively, and with a problem-solving mindset when approaching analytical statementsFluent in English (At least B2)Will be a plus R/Python programming languagesBenefits we offer to you: From your first day:Competitive salary based on experience and skillsHealthy lunches from our catering partners (gluten-free, lactose-free, vegetarian, and vegan options available).Daily fresh fruits, healthy snacks and a full stocked kitchen.No dress code policyFree Parking Space for your carFlexible Working Schedule (you don’t have to be worried about running 5 minutes late)100% Covered 30 days/year of sick daysCareer development upon business needsTeam buildings and two corporate parties a year!23 Paid Vacation Business DaysAfter a probation period:Private health insuranceCoverage for up to 50% of your language classes, sports membership, and mental health support.