Senior Data Analyst

At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale.More than just a workplace, we're a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following.Our CultureAt CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are: Mission-Driven: We focus on creating economic and social impactPeople-Centric: We care deeply about our team's growth, well-being, and sense of belongingInnovative: We embrace change and find better ways to do things togetherGlobally Connected: We foster collaboration between diverse cultures and perspectivesIf you're passionate about innovation, collaboration, and making a real impact, we'd love to have you on board!Role SummaryAs a Data Analyst, you will turn data into clear, actionable insights that support business decisions across CloudFactory. You will build and maintain reports and dashboards, identify trends and data quality issues, and collaborate with stakeholders and data engineers to keep our data reliable and useful. This is a great opportunity to grow your data analytics expertise within a mission-driven, fast-scaling organization.Please note: This is a full-time, fixed-term employee position with an expected duration of 3 months.Responsibilities:Business intelligence and reporting Provide insights relevant to specific tasks or projects, developing reports and dashboards focused on answering business questions or KPIsAnalyze data to identify trends, patterns, and outliers, presenting findings clearly to stakeholders and team membersRecommend initial actions or next steps based on analysisDashboard and report maintenance Maintain accuracy of assigned reports and dashboards, monitoring for data discrepancies or inconsistenciesAnalyze the root cause of identified data inaccuracies and coordinate with data engineers for correctionProvide initial troubleshooting and support to users encountering issues with reports or dashboardsData quality Identify and flag data quality issues within your area of analysis, applying data quality checks to catch errors, inconsistencies, or missing valuesDocument and report data quality issues to senior analysts or data quality specialistsFollow established data governance procedures regarding data access and usageData modelling support Design and develop basic data models for well-defined analytics requirements, applying data normalization techniquesWrite DBT scripts to perform data transformations, including filtering, aggregation, and joining tablesCollaborate with stakeholders to understand their data needs and identify potential model improvementsData visualization Create clear, well-designed visualizations for data analysis tasks, selecting appropriate chart types for the data and insightsApply dashboard design principles to organize multiple visualizations for effective storytellingDocument data sources and steps used to create visualizationsData security and compliance Adhere to established data security and compliance protocols while handling dataFollow data access control procedures and complete required data security and compliance training RequirementsMust-have skills (required) Good understanding of data analytics concepts, data visualization, and business intelligence toolsProficient in SQL for querying and extracting data from the data warehouseAdvanced spreadsheet skills, including pivot tables, index-match, and macros or Google Apps ScriptExperience creating dashboards and reports using tools such as QuickSight or TableauUnderstanding of data modelling principles, with experience writing DBT scripts for basic transformationsAble to identify and flag data quality issues, applying data quality checks during analysisStrong communication skills, able to present findings clearly to stakeholdersAcademic and professional requirements Bachelor's degree in a quantitative field, such as Statistics, Data Science, Business, or Economics, or equivalent practical experience2-4 years of experience in a data analysis role Nice-to-have Skills (preferred) Experience with DBT or similar data transformation toolsExposure to Python for data analysisFamiliarity with data governance practices Benefits Great Mission and CultureMeaningful WorkMarket competitive salaryQuarterly variable compensationComprehensive medical cover Group life insurancePersonal development and growth opportunitiesOffice snacks and lunchPeriodic team building and social eventsAt CloudFactory, we believe that work should be more than just a job—it should be a platform for growth, impact, and community. Here, you'll earn with purpose, learn every day, and serve a mission that truly matters. If you're looking for a career where you can develop professionally, contribute meaningfully, and be part of a global movement, we'd love to have you on this journey!Join us today and be part of our mission to connect people and technology for a better world! Apply now and bring your whole, authentic self to work—we can't wait to meet you!<

• Provide insights relevant to specific tasks or projects, developing reports and dashboards focused on answering business questions or KPIs • Analyze data to identify trends, patterns, and outliers, presenting findings clearly to stakeholders and team members • Recommend initial actions or next steps based on analysis • Maintain accuracy of assigned reports and dashboards, monitoring for data discrepancies or inconsistencies • Analyze the root cause of identified data inaccuracies and coordinate with data engineers for correction • Provide initial troubleshooting and support to users encountering issues with reports or dashboards • Identify and flag data quality issues within your area of analysis, applying data quality checks to catch errors, inconsistencies, or missing values • Document and report data quality issues to senior analysts or data quality specialists • Follow established data governance procedures regarding data access and usage • Good understanding of data analytics concepts, data visualization, and business intelligence tools • Proficient in SQL for querying and extracting data from the data warehouse • Advanced spreadsheet skills, including pivot tables, index-match, and macros or Google Apps Script • Experience creating dashboards and reports using tools such as QuickSight or Tableau • Understanding of data modelling principles, with experience writing DBT scripts for basic transformations • Able to identify and flag data quality issues, applying data quality checks during analysis