Human Capital Management | Data Analytics | Vice President | Warsaw

Goldman Sachs
Warsaw, Poland
Jun 12, 2022
Jun 19, 2022
Job Function
Industry Sector
Finance - General
Employment Type
Full Time
Our division recruits, develops and rewards the people of Goldman Sachs. Our teams advise, design and implement strategies, processes and technologies that help our people advance professionally, drive productivity and help the firm and our clients achieve superior results. We look for individuals with strong problem solving and analytical skills, innovative thinking and intellectual curiosity who want to make an impact on the success of the firm's most valuable asset, our people.

The HCM Insights & Analytics team supports the global HCM function with advanced reporting, deep dive analytics, project/process management and data governance advisory. The team partners with internal HCM clients to provide quantitative insights that empower HCM to meet its strategic goals.
  • Develop a thorough understanding of HCM data landscape, systems and processes to partner with HCM colleagues in the strategic delivery of key people priorities
  • Proactively identify ways to improve existing solutions, streamline and automate reporting, create greater efficiency and share best practice across our global team
  • Analyse and provide insights to the business about data architecture solutions and issues
  • Interaction with the various functions within HCM to gather requirements.
  • Works with business owners to define and establish data quality rules, definitions and strategy consistent with division and organizational strategies and goals.
  • Collaborates with Data Leads, Data Analyst, and IT areas to ensure data quality and availability.
This role provides a chance to learn about the functioning of the Human Capital Management function and to collaborate with Data Engineering team. It has multiple options to develop within HR Data world in broad range of Data Engineering topics like Data Architecture, ETL processing, programing, APIs, Data Security etc. The firm provides a range of development opportunities courses and a formal Feedback 360+ review process to enhance depth of knowledge and to equip individuals to progress in their careers.
Functional & Technical Expertise
  • Excellent knowledge of SQL is a must
  • Knowledge of Database system (preferably Sybase, SQL Server, Oracle) is a must
  • Knowledge of BI Tools (SAP Business Objects, Tableau, Alteryx) is an asset
  • Experience with data modelling, data warehousing, building ETL Pipelines
  • Experience with RESTful web services is an asset
  • Experience in Python or Java is an asset
  • Excellent analytical skills, being comfortable working with large sets of data
  • Knowing Agile practices is an asset
  • Familiarity with HR processes and data landscape is an asset
  • Spot and clearly articulate data management issues and propose practical solutions
  • Confidence to advise on potential approaches to business needs, including analysis of associated costs and trade-offs
  • Proven track record of taking initiative and implementing innovation
  • Good working knowledge of available HR technology capabilities and deployment tactics and intellectual curiosity in the field
  • Understanding basic principles of process re-engineering and how to apply those to existing workflows and procedures
Client Focus
  • Identify client needs and appropriately work to understand the foundations of great client experience, while leveraging available internal tools to provide the best service possible
  • Establish, cultivate and leverage relationships to identify and execute on process enhancements
  • High level of maturity, integrity and ability to manage confidential information and impeccable judgment
Risk Management
  • Pay strong attention to detail and develop awareness of reputational risk and accountability
  • Articulate operational and risk impacts related to a specific task or procedure
  • Apply root cause analysis to identify opportunities for process improvements or work prioritization
  • Graduate or Undergraduate degree in Computer Science, Statistics, Finance, Mathematics, Engineering, or similar
  • 5+ Years of experience as Data Engineer or in a similar role
  • Sound consulting skills, developed through providing business advisory to senior internal or external clients
  • Ability to work within a high-risk environment and meet challenging deadlines and targets
  • Ability to work well both independently and in a global team environment
  • Excellent Project Management skills
  • Strong English language skills and ability to communicate effectively in writing and verbally

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:

© The Goldman Sachs Group, Inc., 2021. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

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