Data Analyst role at Alpaca utilizing SQL and Python to derive insights and build data models. Collaborating with cross - functional teams to support operations and compliance.
About the role
- Senior Data Analyst developing analytics solutions using Power BI for Bird construction. Partnering with teams to enable a data-driven culture and deliver actionable insights.
Responsibilities
- Design, develop, and deliver high‑quality analytics solutions using Power BI, ensuring accuracy, reliability, and consistency of data and metrics.
- Apply effective data storytelling principles to transform complex information into clear, compelling, and decision‑ready insights.
- Partner with stakeholders to understand business context, ask the right questions, and translate analytical needs into meaningful dashboards and reports.
- Contribute to the evolution of the Data & AI Center of Excellence (CoE), helping shape standards, best practices, templates, and shared ways of working.
- Promote data governance concepts by reinforcing trusted metrics, clear definitions, consistent logic, and proper documentation.
- Support and advance data fluency and literacy across the organization by helping stakeholders better interpret, question, and use analytics effectively.
- Perform analytical investigations and root‑cause analysis to explain trends, variances, and anomalies in business performance.
- Collaborate with Data Engineering and IT teams to ensure analytics solutions align with data Lakehouse architecture and enterprise platforms.
- Demonstrate a strong understanding of Data Lakehouse concepts, with exposure to tools such as Databricks, Microsoft Fabric, or Microsoft Synapse Analytics, sufficient to collaborate effectively with engineering teams.
- Navigate and contribute within both Agile and Waterfall project environments, adapting communication and delivery style as needed.
- Manage multiple priorities simultaneously while maintaining quality, structure, and stakeholder confidence.
- Maintain strong, proactive communication with stakeholders and contribute to successful project outcomes.
- Stay current with analytics trends and Microsoft’s analytics ecosystem (Power BI, Lakehouse platforms, and related technologies), applying learnings pragmatically.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Business Analytics, or a related field.
- 5+ years of experience in a Senior Data Analyst or Business Intelligence role.
- Strong hands-on experience with Power BI , with an emphasis on insight, clarity, and usability rather than just visual complexity.
- A proactive, self-driven mindset — comfortable taking ownership, identifying gaps, and helping move analytics forward.
- Demonstrated understanding of what building a data-driven culture actually means, beyond tools alone.
- Experience contributing to or working within a Center of Excellence–style model for Data, AI, Analytics, or BI.
- Solid grasp of data governance fundamentals , including trusted metrics, standard definitions, and consistency of logic.
- Strong communication and organizational skills , with the ability to work effectively across both technical and non-technical audiences.
- Experience working in both Agile and Waterfall delivery environments.
- Ability to manage competing priorities with structure, judgment, and professionalism.
- General understanding of the Microsoft Power Platform (Power Apps / Power Automate) without requiring deep specialization.
Benefits
- Health insurance
- Paid time off
- Flexible work arrangements
- Professional development opportunities
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