Senior Data Analyst II
Role Overview
The Senior Data Analyst owns complex data products and analytics solutions from initial business questions through delivery.
The role partners with senior stakeholders and technical colleagues and contributes hands-on to data models and semantic layers for AI-based solutions.
The STMJ Data & Analytics team delivers insights and analytics to support data-driven decisions across the business.
Key Skills for This Role
Full Job Posting
Role overview
The Senior Data Analyst owns complex data products and analytics solutions from initial business questions through delivery.
The role partners with senior stakeholders and technical colleagues and contributes hands-on to data models and semantic layers for AI-based solutions.
The STMJ Data & Analytics team delivers insights and analytics to support data-driven decisions across the business.
Responsibilities
- Own complex analytics projects from planning through delivery and translate loosely defined business questions into suitable data solutions.
- Work with product managers, analytics engineers, and other technologists on data product and solution development.
- Apply governance principles so products are reliable and reusable.
- Act as a trusted thought partner to senior stakeholders, influence internally, and help shape strategy and data-driven decisions.
- Adapt to emerging tools and techniques to improve outcomes and delivery speed.
- Coach junior colleagues in business engagement, analysis design, and end-to-end project management.
Requirements
- Substantial experience in a data-oriented role and a proven record of owning complex projects through delivery.
- Flexibility, speed, and a bias for action in a fast-moving team.
- Clear communication and influence with senior and technical stakeholders.
- Detail orientation, critical thinking, and strong problem-solving skills.
- Strong data preparation and blending experience using Excel, Snowflake, or other data platforms.
Preferred experience
- Knowledge of AI-assisted product development practices is advantageous, not essential.
- Experience in scholarly publishing, research, or a related industry is advantageous, not essential.
Application requirement
- Applicants must include a cover letter describing their interest and how their skills, knowledge, and experience would contribute to the team.
Working pattern
- Flexible hours are available, allowing employees to adjust their working times during the day.
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