Senior BI Analyst

Position Summary

The Senior Business Intelligence (BI) Analyst plays a critical role in transforming data into actionable insights that inform strategic and operational decisions across the organization. This position will design develop and maintain high-impact BI solutionsranging from
enterprise dashboards to analytical modelsthat empower leaders and teams to make data-driven decisions.
As part of the Business Process Improvement Team the Senior BI Analyst will balance technical expertise with business acumen ensuring analytics deliver both accuracy and strategic relevance. The role will collaborate closely with Data Engineering Data
Governance and embedded departmental analysts to build scalable governed and user-friendly analytics products that drive measurable business outcomes.

The ideal candidate is both a builder and a storyteller someone who can model data automate analysis and communicate insights that shape business strategy.

Essential Functions / Key Areas of Responsibility
1. BI Development & Delivery
Design build and maintain Power BI dashboards reports and data models that deliver timely actionable insights.
Develop and manage reusable data assets (datasets measures semantic models) that serve as the foundation for enterprise
analytics.
Ensure performance optimization visual clarity and data integrity in all BI deliverables.

2. Business Partnership & Insight Generation
Collaborate with cross-functional leaders to understand business goals translate them into analytical requirements and deliver insights that inform decisions.
Proactively identify trends anomalies and opportunities using data storytelling and visualization best practices.
Lead stakeholder presentations ensuring insights are clear credible and connected to business value.

3. Standards Governance and Handoff
Partner with Data Governance and Data Engineering teams to align on data quality accessibility and definitions.
Develop documentation standards and templates that promote consistency across departmental analytics teams.
Build and hand off self-service BI solutions to business units when appropriate providing training and support to ensure sustainability.

4. Enablement & Continuous Improvement
Mentor junior analysts and contribute to the analytics community of practice.
Drive automation of recurring reporting through Power BI DAX and integration with enterprise data pipelines.
Evaluate emerging BI tools features and techniques to improve speed scalability and user experience.

Minimum Requirements: Skills Experience Education Technical/Specialized Knowledge Certifications Language

Strong analytical and problem-solving skills with attention to detail.
Ability to translate complex data into intuitive visualizations and stories.
Excellent communication and stakeholder management skills.
Proven ability to work collaboratively across technical and business teams.
Demonstrated initiative and ownership in delivering end-to-end solutions.

Experience
5 years of experience in business intelligence data analysis or analytics engineering roles.
Hands-on experience designing and publishing reports/dashboards in Power BI (or equivalent enterprise BI platforms).
Proficiency with DAX Power Query (M) and data modeling for analytical performance.
Experience partnering with data engineering teams on ETL schema design and data validation.
Track record of managing analytics projects from concept through delivery.

Education
Bachelors degree in Business Analytics Data Science Information Systems Computer Science or related field required.
Technical / Specialized Knowledge
Power BI (advanced user) and DAX.
Intermediate knowledge of Oracle Snowflake and Postgres SQL for data exploration and validation.
Understanding of data warehousing concepts (star schema dimensional modeling).
2 years experience with Python R or statistical modeling for advanced analytics.
Familiarity with Snowflake Azure Data Services Databricks or similar cloud environments.
Strong Excel and data-storytelling skills.
English professional proficiency required

Preferred Qualifications

Experience
Experience with Python R or statistical modeling for advanced analytics.
Experience working within or supporting a Center of Excellence (CoE) or federated analytics model.
Prior exposure to data governance data literacy or analytics enablement initiatives.
Proven ability to design scalable solutions that balance enterprise governance with business agility.
Strong understanding of business domains such as Finance Sales Operations Customer Experience or Supply Chain.

Certifications
Microsoft Certified: Power BI Data Analyst Associate.
Tableau or equivalent BI certifications.
Agile or Scrum certification.