Business Data Analyst (Middle) ID34676

• 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 haves

• 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.

AgileEngine is one of the Inc. 5000 fastest-growing companies in the US 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! 🙂