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John Wiley & Sons Inc.

Data Analyst - Power BI Specialist

John Wiley & Sons Inc., Hoboken, New Jersey, us, 07030

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Job Description Data Analyst - Power BI Specialist

Location Hoboken (HQ), NJ, USA

About the Role 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.

We are seeking a highly skilled and experienced Data Analyst with Power BI Specialty to join a dynamic team of marketing analysts in driving forward our mission to transform business and ad tech data into valuable marketing insights. As a Data Analyst / Power BI Specialist in the Wiley Marketing team, you will play a crucial role developing strategically important shared data models for reports that influence strategic decision-making, shed light on campaign performance, and ensure the success of our publishing initiatives. We're looking for a methodical, future-thinker, who can support and guide others in the team to do the same. We have rich data landscape at our fingertips; this role is a key advocate in its practical application to benefit marketing effectiveness.

How you will make an impact

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.

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 processes.

We are looking for people who have:

Experience (4+ years) in Data Modelling, Data Visualization, Data Analysis, or similar.

Demonstrated experience with Power BI, semantic models, and other Microsoft Fabric tools.

Demonstrated proficiency creating SQL queries to manipulate large datasets.

Strong analytical and problem‑solving skills, with a focus on best practice and data governance.

Strong communication skills, with the ability to define requirements and explain technical concepts to both technical and non-technical stakeholders.

Experience with BigQuery or other data warehousing platforms.

About Wiley We are in one of the most dynamic periods in our history as technology, globalism and economic diversity create far-reaching changes in the world. As a learning business, Wiley makes meaningful contributions to research discovery and lifelong learning by helping organizations achieve their goals and people achieve success from education through their career. We may have been founded over two centuries ago, but our secret to success remains the same: change with the times and adapt to meet the ever‑evolving needs of our customers. The company's headquarters are located in Hoboken, New Jersey, with operations in the U.S., Europe, Asia, Australia, and Canada.

Wiley is an equal opportunity/affirmative action employer. We evaluate qualified applicants and treat all applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact tasupport@wiley.com for assistance.

Application Instructions When applying, please attach your resume/CV to be considered. A link to a sample portfolio is suggested but not required.

Salary Range 85,500 USD to 122,567 USD

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