Business Data Analyst (Middle) ID34676

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:

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

1. Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
2. Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
3. A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
4. 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.