BUSINESS DATA ANALYST (MIDDLE) ID34676 - (UK-160)

Agileengine


**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. **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. - Good luck! We're rooting for you! _

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