Senior Data Analyst

Job Profile Summary
 

The Senior Data Analyst is responsible for the development, implementation, and maintenance of leading-edge analytics systems, solving complicated problems and building frameworks. Leads team initiatives while simultaneously participating in multiple IT project efforts with limited oversight from leadership. Contributions are felt across a breadth of development efforts. Has a working knowledge of advanced concepts, practices, and procedures. Demonstrates a keen understanding of both IT and the business we support. Serves as a subject matter expert for the application, technologies and integrations, or business processes.

Primary Job Responsibilities

• Act as a liaison between business stakeholders and technical teams to translate analytical needs into scalable data solutions using Power BI and Microsoft Fabric.
• Lead the design and implementation of analytics solutions that align with workspace capacity constraints and platform architecture.
• Evaluate and optimize Power BI workspace usage, ensuring performance and governance standards are met.
• Conduct stakeholder interviews and workshops to gather detailed business requirements and translate them into actionable technical specifications.
• Utilize SQL and optionally Python to prototype and validate data transformations and analytical models.
• Manage and prioritize the backlog for data engineers, ensuring that tasks are clearly defined and aligned with business objectives.
• Ensure data quality and integrity by performing regular data validation and cleaning tasks.
• Lead the development of data models, reports, and dashboards to support business objectives.
• Drive the adoption of self-service data tools and promote a data-driven culture within the organization.
• Conduct more complex ad-hoc analyses and provide strategic insights to senior stakeholders.
• Assist in the design and implementation of data governance and data management best practices.
• Provide On-Call third level support for priority issues, including after-hours, weekends, and holidays. Troubleshoot production issues and ensure timely resolution or escalation.  Serve as escalation point.
• Maintain documentation for data processes, models, and tools to ensure clarity and consistency.
• Champion a culture of curiosity and continuous improvement by proactively identifying opportunities to enhance data products and processes.
• Mentor and support junior data analysts in their professional development.
• Stay up to date with advancements in Microsoft Fabric and related technologies to guide platform evolution and adoption.
• Perform other duties as assigned.

Career Level (P3)

Organizational Impact:

• Works to achieve day-to-day objectives with significant impact on operational results within area of work.
• Works independently under limited supervision.
• May be responsible for entire projects or processes within area.
• Typically, responsible for coaching and reviewing the work of lower-level professionals.

Leadership & Talent Management: 

• May be responsible for providing guidance, coaching and training to other employees within functional area.
• May manage projects at this level, requiring responsibility for the delegation of work and the review of others' work product.

Knowledge & Experience: 

• Requires broad knowledge of area typically obtained through advanced education combined with experience. May have practical knowledge of program or project management.
• Typically requires a university degree or equivalent experience and minimum 3-6 years of prior relevant experience.

Required Skills

• Advanced proficiency in data visualization, Excel, and SQL.
• Experience with complex data models, reports, and dashboards.
• Ability to conduct complex ad-hoc analyses and provide strategic insights.
• Strong understanding of data quality and data validation processes.

Preferred Skills

• Strong scripting skills in languages such as Python or R.
• Knowledge of data governance and data management best practices.
• Knowledge of Azure environment and services, particularly as they relate to data analytics and platform integration.

Required Licensing, Registration and/or Certifications

• Not applicable
   

Physical Requirements:

• May require travel

PulteGroup, Inc. and its affiliates do not accept unsolicited resumes from individual recruiters or third party recruiting agencies (collectively, “Recruiters”) in response to job postings. If Recruiters nevertheless submit one or more unsolicited resumes to any employee at PulteGroup, Inc. or its affiliates without a valid written agreement in place for this position, it will be deemed the sole property of PulteGroup, Inc. and its affiliates. No fee will be owing or paid to Recruiters who submit unsolicited candidates, in the event the candidate is hired by PulteGroup, Inc. or its affiliates as a result of the referral, without a written agreement between PulteGroup, Inc. and through any means other than via our Applicant Tracking System.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We will provide a reasonable accommodation to a qualified applicant with a disability that will enable the individual to have an equal opportunity to participate in the application process and to be considered for a job.

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