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Workforce Analytics Manager

  • SALT LAKE CITY, UT, United States

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Job details

Posting language
English
Posted

Original job description

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team. KPMG is currently seeking a Manager Workforce Analytics to join our Talent and Culture organization. Responsibilities: * Design, build, monitor, and optimize robust SQL- and SSIS-based data pipelines to ensure high data quality, reliability, and governance standards across enterprise datasets * Develop, deliver, and rationalize enterprise SSRS reports and interactive Power BI dashboards tailored for operational and executive audiences * Build and optimize scalable Alteryx workflows to automate recurring data ingestion, preparation, and validation, eliminating manual reporting overhead * Assess legacy SSIS packages and execute modernization initiatives by designing cloud-native data pipelines leveraging Databricks and modern analytics platforms * Serve as a trusted technical advisor, translating complex business needs into technical specifications and communicating data concepts effectively to non-technical stakeholders * Troubleshoot production data processing and reporting issues while establishing technical documentation, support procedures, and operational runbooks * Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: * Minimum five years of recent hands-on experience in data integration, reporting, and analytics development * Bachelor's degree from an accredited college or university in information systems, computer science, analytics, data engineering, or a related discipline * Advanced SQL programming skills with demonstrated expertise developing, maintaining, and troubleshooting Microsoft SQL Server and SSIS solutions; practical experience building and tuning automated data preparation workflows in Alteryx (Python scripting capabilities for automation/engineering preferred) * Working knowledge of or experience with modern cloud data architectures (for example, Databricks, Spark, Azure Data Factory, Microsoft Fabric, Synapse) and migrating legacy ETL workloads to the cloud * Proven experience designing and administering enterprise SSRS reports and dynamic Power BI dashboards * Strong problem-solving, stakeholder-engagement, and requirements-gathering skills, with prior experience supporting HR, workforce, or people analytics data strongly preferred * Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for... For full info follow application link. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link "https://assets.kpmg.com/content/dam/kpmg/us/pdf/2018/09/eeo.pdf? "contains further information regarding the firm's compliance with federal, state and local recruitment and hirin g laws. No phone calls or agencies please.

More about this job

Skills

  • SQL
  • SQL Server Integration Services
  • Microsoft Power BI
  • Alteryx
  • Reporting
  • Databricks
  • Troubleshoot
  • Process data
  • Documentation
  • Computer science
  • Data engineering
  • Troubleshooting
  • Microsoft SQL Server
  • Python
  • Apache Spark
  • Microsoft Azure Data Factory
  • Problem solving
  • Stakeholder management
  • Requirements gathering

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