Senior Data Specialist (Analytics, Remote)

Job summary

This role involves contributing to the development of business-facing analytics products that enhance decision-making across various commercial functions. The position requires a strong blend of technical expertise and business acumen to create scalable analytics solutions that drive real impact.

Qualifications

• Proven experience in analytics, business intelligence, or data product development.
• Strong hands-on expertise in Power BI and Databricks (or similar platforms).
• Proficient in SQL and/or Python.
• Ability to translate complex business needs into scalable analytics solutions.
• Understanding of data modeling, metric definition, and analytics best practices.
• Interest or experience in AI-driven analytics and decision intelligence.
• Strong communication skills to bridge technical and business perspectives.
• Fluency in English, both written and spoken.

Responsibilities

• Design, build, and own analytics products like dashboards and AI-powered interfaces.
• Translate business needs into intuitive analytics solutions.
• Ensure consistency of business metrics and translate technical definitions into business language.
• Develop user-centric analytics experiences that are accessible and actionable.
• Drive the development of AI-powered analytics capabilities.
• Collaborate with cross-functional teams to ensure seamless delivery of analytics solutions.
• Act as a partner to commercial stakeholders, translating requirements into production-ready solutions.
• Configure metric views and reporting structures for performance tracking.
• Contribute to AI interaction design and human-AI workflows.
• Drive stakeholder alignment and adoption of analytics solutions.
• Iterate and improve products based on user feedback and evolving business needs.

Skills

• Strong technical skills in analytics and data product development.
• Proactive and ownership-driven mindset.
• Excellent communication skills.

Education

• Relevant degree in a related field is preferred but not specified.

Tools

• Power BI, Databricks, SQL, Python.