Business Data Analyst (Middle) ID34676

AgileEngine; Rio de Janeiro; Híbrido; USD 60.000 - 100.000; Tempo integral

Resumo da oferta

An established industry player is seeking a Business Data Analyst to join their dynamic team. This role involves developing scalable data models, conducting deep-dive analyses, and collaborating with cross-functional teams to drive data-driven decisions. You'll work with modern tools and methodologies, ensuring data reliability while supporting strategic initiatives. With a focus on professional growth and a competitive compensation package, this opportunity is perfect for those eager to make an impact in a fast-paced environment. Join a company that values innovation and offers flexibility in your work-life balance.

Serviços

Professional growth opportunities

Competitive compensation

Flexible working hours

Budget for education and fitness

Exciting projects with top-tier clients

Qualificações

• 3-5 years of experience in data analytics or business intelligence.
• Strong expertise in SQL and PostgreSQL for querying and modeling.
• Upper-Intermediate English level.

Responsabilidades

• Develop scalable data models and dashboards from multiple sources.
• Conduct data analysis and create predictive models for decision-making.
• Collaborate with stakeholders to ensure data reliability and governance.

Conhecimentos

Data Analytics

Business Intelligence

SQL

PostgreSQL

Looker Studio

G Suite

Data Governance

ETL Processes

Communication Skills

Collaboration

Formação académica

Bachelor's Degree in Data Analytics or related field

Ferramentas

AWS DWH

Google Sheets

Descrição da oferta de emprego

Join to apply for the Business Data Analyst (Middle) ID34676 role at AgileEngine

AgileEngine is one of the Inc. 5000 fastest-growing companies in the U.S. 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

1. Develop and maintain scalable data models, pipelines, and dashboards to consolidate information from multiple sources (AWS DWH, Google Sheets, and other systems);
2. Conduct deep-dive data analysis and create predictive models to support decision-making processes;
3. Design and execute A/B experiments to measure the impact of strategic initiatives;
4. Monitor key KPIs, analyze trends, and provide actionable insights to business leaders.

Data Governance & Infrastructure:

1. Collaborate with data owners and cross-functional stakeholders to ensure data reliability, governance, and accessibility;
2. Identify and implement solutions for data quality and availability gaps;
3. Ensure alignment with Data Mesh principles, supporting decentralized data ownership while maintaining overall data integrity.

Collaboration & Stakeholder Engagement:

1. Partner with several teams and areas to define and improve ETL processes, data warehouse architecture, and automation workflows;
2. Educate stakeholders on data best practices, enabling them to make data-driven decisions;
3. Act as a bridge between technical and non-technical stakeholders, translating business needs into analytical solutions.

MUST HAVE

1. 3-5 years of experience in data analytics, business intelligence, or a related field;
2. Strong expertise in SQL & PostgreSQL for querying and data modeling;
3. Strong experience with Looker Studio and the G Suite;
4. 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.
5. Upper-Intermediate English level.

NICE TO HAVES

1. Ability to integrate and work with multiple data sources, including Google Sheets, AWS DWH, and other disparate systems;
2. Experience in data governance and working within Data Mesh frameworks;
3. Ability to work autonomously and proactively solve complex data challenges;
4. Understanding of relational databases, data warehousing, and scalable ETL pipelines;
5. Familiarity with IT-driven company operations, including software development workflows and agile methodologies;
6. Experience in IT-driven or startup environments;
7. 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, with options of working from home and going to the office—whatever makes you 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.