Job Description AgileEngine is one of the Inc. 5000 fastest-growing companies in the U and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place - guaranteed! : ) WHAT YOU WILL DO Data Strategy & Analysis : - Develop and maintain scalable data models, pipelines, and dashboards to consolidate information from multiple sources (AWS DWH, Google Sheets, and other systems); - Conduct deep-dive data analysis and create predictive models to support decision-making processes; - Design and execute A / B experiments to measure the impact of strategic initiatives; - Monitor key KPIs, analyze trends, and provide actionable insights to business leaders. Data Governance & Infrastructure : - Collaborate with data owners and cross-functional stakeholders to ensure data reliability, governance, and accessibility; - Identify and implement solutions for data quality and availability gaps; - Ensure alignment with Data Mesh principles, supporting decentralized data ownership while maintaining overall data integrity. Collaboration & Stakeholder Engagement : - Partner with several teams and areas to define and improve ETL processes, data warehouse architecture, and automation workflows; - Educate stakeholders on data best practices, enabling them to make data-driven decisions; - Act as a bridge between technical and non-technical stakeholders, translating business needs into analytical solutions. MUST HAVE - 3-5 years of experience in data analytics, business intelligence, or a related field ; - Strong expertise in SQL & PostgreSQL for querying and data modeling; - Strong experience with Looker Studio and the G Suite; - Soft Skills : Strong communicator with the ability to convey data insights to both technical and non-technical audiences; Effective collaborator, working closely with cross-functional teams to turn data into action. - Upper-Intermediate English level. NICE TO HAVES - Ability to integrate and work with multiple data sources, including Google Sheets, AWS DWH, and other disparate systems; - Experience in data governance and working within Data Mesh frameworks; - Ability to work autonomously and proactively solve complex data challenges; - Understanding of relational databases, data warehousing, and scalable ETL pipelines; - Familiarity with IT-driven company operations, including software development workflows and agile methodologies; - Experience in IT-driven or startup environments; - Hands-on experience with data process documentation and implementation. THE BENEFITS OF JOINING US - Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities. - A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands. - Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. NEXT STEPS AFTER YOU APPLY The next steps of your journey will be shared via email within a few hours . Please check your inbox regularly and watch for updates from our Internal Applicant site, LaunchPod , which will guide you through the process. Requirements 3-5 years of experience in data analytics, business intelligence, or a related field; - Strong expertise in SQL & PostgreSQL for querying and data modeling; - Strong experience with Looker Studio and the G Suite; - Soft Skills : Strong communicator with the ability to convey data insights to both technical and non-technical audiences; Effective collaborator, working closely with cross-functional teams to turn data into action. - Upper-Intermediate English level.