Data Analyst - Power BI Specialist
Wiley
- Oxford, England, United Kingdom
- Oxford, England, United Kingdom
Über
Location Hoboken (HQ), NJ, USA
Mission Our mission is to unlock human potential. We welcome you for who you are, the background you bring, and we embrace individuals who get excited about learning. Bring your experiences, your perspectives, and your passion; it’s in our differences that we empower the way the world learns.
Company Overview Wiley is an equal‑opportunity/affirmative‑action employer, dedicated to providing reasonable accommodation to applicants and employees with disabilities. We evaluate qualified applicants and treat all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local laws.
Responsibilities
Develop and maintain shared semantic models in Power BI using star schema design.
Develop SQL queries to extract and manipulate data from our BigQuery database for use in Power BI dashboards.
Define and implement best‑practice report/data management through Microsoft Fabric integrations.
Review and maintain reports for performance optimizations, style consistency, and best‑practice improvements.
Consult on wireframe design during the early stages of building new reports to provide guidance on effective visualization and user experience.
Consult on the development of strategically insightful reporting dashboards with actionable insights to support key stakeholder decision‑making.
Qualifications
4+ years of experience in data modelling, data visualisation, data analysis, or similar roles.
Proven experience with Power BI, semantic models, and other Microsoft Fabric tools.
Strong proficiency in creating SQL queries to manipulate large datasets.
Strong analytical and problem‑solving skills, with a focus on best practice and data governance.
Excellent communication skills, with the ability to explain technical concepts to both technical and non‑technical stakeholders.
Experience with BigQuery or other data warehousing platforms.
Compensation Salary Range: 55,500 USD – 122,567 USD
Additional Details
Seniority Level: Mid‑Senior level
Employment Type: Full‑time
Job Function: Information Technology
Industry: Book and Periodical Publishing
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Sprachkenntnisse
- English
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