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Director, HR Reporting & Data Analytics

LyondellBasell
United Statesfull_timeVerifiedPosted 1 Feb 2024

About the role

LyondellBasell

Basic Function

The Director, Reporting & Data Analytics provides thought leadership and acts as a subject matter expert in the design and recommendation of appropriate analytical approaches and methodology in addressing key issues within the business, identifying trends and patterns in data, and identifying areas for improvement and optimization to enable data-driven decision making. The role leads a global team of reporting analysts, data analysts, and data scientists to develop and implement data collection systems, analyze large datasets, and create reports and visualizations to present findings to stakeholders.

Roles & Responsibilities

  • Lead a growing multidisciplinary organization comprising of reporting analysts, data analysts, data scientists and optimization experts to identify, scope, and develop machine learning solutions and provide insights to the Executive Committee, business-facing HR, and business partners to mitigate risks, reduce costs, and improve employee engagement
  • Collaborate with report developers/analysts and business teams to improve data models that feed Power BI and increase data accessibility
  • Drive the completion of data, reporting, and platform work in alignment with key enterprise initiatives and enterprise data strategy
  • Manage external vendor relationships related to reporting and analytics of HR data, including negotiations, regular oversight and enforcement of contractual obligations
  • Build a culture of innovation, data curiosity, and collaboration
  • Collaborate across departments to understand client needs and design data management products, procedures, and deliverables
  • Ensure operational excellence across the team in key processes and deliverables within the data analytics organization.
  • Lead in the comparison of coexisting trends or movement, uncovering correlations between variables, and determining causal relationships where possible
  • Engage an end-to-end approach by connecting all the pieces of data to deliver the data while leveraging all available assets
  • Ensure the HR Reporting & People Analytics team:
  • Identifies and supports HR and business reporting and data needs.
  • Designs and implements self-service reporting tools and data management
  • Leverage best practice technology solutions to create dashboards to visualize data using Report Center, Workforce Analytics (WFA), People Story and Power BI.
  • Develops and delivers a regular cadence of operating metrics related to the employee life cycle
  • Interprets employee data to identify significant differences, relationships, and trends in data
  • Establishes the strategy for technology and analytical tools to develop and analyze enterprise-wide people and other cross-functional data as needed.
  • Serves as the domain expert for human resources data and analytics.
  • Serves as an active participant on cross-functional project teams and provide guidance and training to teams.
  • Clearly ties People analytics to business objectives and outcomes.
  • Investigates and resolves incidents reported by users.
  • Identifies opportunities to automate, consolidate and simplify reporting.
  • Collaborates with subject matter experts across HR service areas to promote data governance and stewardship, data quality and advancement of HR technology capabilities.
  • Perform data quality reviews utilizing quality assurance methods to identify problems and errors.
  • Understand customer requirements to design appropriate data representation for multiple data sets.

Min. Qualifications

  • Bachelor or Master of Science in Engineering, Computer Science, Information Technology, Mathematics or equivalent
  • Minimum 15 years’ experience in a multinational corporation, with preference given to Oil & Gas, Energy or Petrochemical industries
  • 7+ years' experience in the data field including Data Engineering, Data Governance, and Data Analytics and Systems Architecture
  • Experience in leading digital and data science teams to deploy digital transformation solutions across the enterprise and delivering impactful data solutions
  • Technical expertise that may include data analysis, data mining, machine learning or programming
  • Demonstrated ability to develop and execute strategy in large multi-national, complex organizations
  • Excellent consultative skills, understanding business needs and translating those needs to requirements
  • Excellent verbal and written communication skills with all levels within the organization
  • Passionate about helping organizations gain business value by leveraging data
  • Experience in data analytics strategy and data modernization
  • Strong writing and presentation skills with the ability to develop ef

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Company

LyondellBasell

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