OverviewWe are seeking a highly skilled Senior Data Analyst to join our team and help democratize our data by creating compelling visualizations.This role involves maintaining and optimizing data pipelines, conducting advanced analysis, and collaborating with cross-functional teams to turn raw data into meaningful business insights.ResponsibilitiesBuild and maintain efficient data pipelines to ensure data integrity and availabilityPerform in-depth analysis to uncover trends and patterns that lead to actionable insightsDesign and implement robust dashboards and visualization tools to enhance data accessibilityCollaborate with cross-functional teams to gather requirements and present analysis findingsAddress complex data challenges and propose creative data solutions to meet business needsOptimize existing ETL processes and contribute to the development of new ETL solutionsRefine and enrich data warehouse architecture to improve data storage and retrievalConduct regular feedback sessions to iterate on visualization UX/UI and improve user engagementMaintain rigorous documentation for all data processes and analytic reportsRequirementsProficiency in SQL for complex querying and data manipulationBackground in data visualization and effective dashboard creationExperience optimizing ETL processes and applying business logicUnderstanding of data warehousing principles, including database design and storage methodsCompetency in working in a UNIX environment and familiarity with version control systemsKnowledge of statistical analysis techniques to derive insights from large datasetsNice to haveExperience with machine learning algorithms and predictive modelingFamiliarity with big data technologies such as Hadoop or SparkWe offerConnectivity Bonus (15,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept)Medicina Prepaga (It covers the collaborator and direct family group)Paternity Leave (Two additional days are added to what is established by law, total of 4 days)Discounts cardTraining Program (Access to multiple customized training plans according to the needs of each role within the company)Marriage bonus (The company doubles the allowance established by law that ANSES offers)Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company)External Agreements and DiscountsVacations: 14 calendar days a yearPrivacyBy applying to our role, you are agreeing that your personal data may be used as set out in EPAM’s Privacy Notice and Policy.
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