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Business Data Analyst (Middle) ID34676

Business Data Analyst (Middle) ID34676

AgileEngineBelo Horizonte, MG, br
Há 18 dias
Tipo de vaga
  • Quick Apply
Descrição da vaga

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.

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