Data Analyst / Scientist – CEO/Boards

We are seeking to welcome a Data Analyst/Scientist to join our Data Analytics team. Data Analytics is an exciting new function constituted by pulling together existing professionals from inside the firm and, now, by recruiting. Our mission is to turn proprietary data into industry-leading insights about leadership, both to equip our client-facing teams and to fuel industry-leading intellectual capital and articles. We play a crucial role in the firm’s positioning as the industry’s most elite leadership advisors who combine discerning human insights with rigorous, data-forward intelligence. We are a small team of like-minded, mutually supportive, intellectually curious colleagues who work well together and via supportive relationships with other professionals in symbiotic areas like Technology, Marketing, and the frontline.

This is an ideal role for someone who has a fascination with data analytics, leadership, and business performance and who combines those interests with experience as a data scientist and an ability to extract, then translate, findings into impactful, digestible insights for businesspeople. We explore questions such as what characteristics make some leaders more successful than others?  What role do contextual factors play?  How is a company’s performance impacted by culture, employee engagement, and top-team effectiveness?  How can data illuminate leadership challenges and solutions? 

 In this essential role, your primary focus will be to:

• Extract valuable insights from our cloud-based data platform to support CEO/Board-related analytics
• Contribute to cutting-edge research at the intersection of leadership attributes, organizational culture, employee engagement, and company performance. Identify opportunities to create proprietary analyses to support our client work and industry-leading intellectual capital. Contribute to the growth and management of our Client Insights Database (CID).

Your position will have an emphasis on serving our Board and CEO Practices. You will manage ad hoc requests and recurring analyses that equip our CEO/Board frontline teams with unique insights and elevate their discussions with clients. You will also play a critical role in developing and maintaining one of our flagship data assets: the Spencer Stuart Board Index. You will join a small but growing team of data analysts and contribute to a collaborative learning environment

Additionally, you will apply your data science skills to:

• Deliver insights through a variety of mediums, whether it be database extracts, custom data files or dashboards. (Tableau is strongly preferred but not required.)
• Collaborate on research projects and generate insights, in partnership with our Consultants and other internal stakeholders. For example, you will partner with our Marketing team and industry experts to generate deliverables of high visibility, such as press articles, Harvard Business Review pieces, and high-stakes presentations at gatherings of executives.
• Act as an advisor to key stakeholders across the firm on the best data-driven approaches to insight generation. These stakeholders include our Marketing, Finance, industry experts, and Operations teams.

Location

Amsterdam office

Key relationships

• Reports to:  TBD, Lead Data Scientist
• Other key relationships:
  • Head of Data Analytics.
  • Data Analytics Team members/colleagues (three direct members, including open positions)
  • Data Engineering Team, Technology department
  • Industry/Function Practice Directors
  • Other internal stakeholders (Marketing, Operations, etc.)
  • External data providers

Key responsibilities

• Data Extraction and Query Management
  • Write, maintain, and optimize complex SQL queries to extract data from the Client Insights Database (CID) platform, ensuring timely and accurate reports and responses to inquiries.
  • Develop data extraction templates that cater to ongoing research and analysis needs across the firm.

• Collaborative Research Support
  • Work closely with researchers/consultants to understand their data requirements, delivering tailored data extracts that facilitate insightful analysis and reporting.
  • Actively engage in discussions to help stakeholders formulate inquiries and develop data-driven approaches to client questions.

• Stakeholder Engagement and Research/Insights Development
  • Partner with business colleagues to understand their analytical needs, proactively recommending how to leverage data insights to improve client engagements and business development.
  • Analyze data findings and generate actionable insights and research, articulating the implications clearly to both technical and non-technical stakeholders.

Ideal Education and Experience

• Bachelor's degree in statistics, mathematics, economics, data/business analytics, data/computer science, or a related field.
• 2+ years of experience in data analysis or data science, preferably within a consulting or data-driven environment.
• Proven experience in writing, maintaining, and optimizing SQL queries for data extraction and manipulation is a must. Additional experience in Python is a plus.
• Background in collaborative research support and stakeholder engagement, with an emphasis on translating data insights into actionable business observations.

Technical Skills

• SQL Proficiency: SQL for complex queries and data manipulation.
• Cloud Platforms: Familiarity with cloud data platforms (AWS preferred).
• Data Analysis:
  • Familiarity with statistical tools and methods.
  • Knowledge of data visualization tools (e.g., Tableau) and best practices for presenting data insights.
  • Proficiency in advanced Excel techniques, including Power Query.
  • Python skills for data analysis (including some familiarity with Pandas, NumPy...).

Critical Capabilities:

• Strong ability to communicate complex data insights and analyses to non-technical stakeholders.
• Consultative mindset, capable of advising on data usage in strategic decision-making.
• Entrepreneurial attitude and a proven track record of driving projects from conception to execution.
• Outstanding attention to detail, with the ability to synthesize larger data trends into executive summaries.
• Self-motivated and capable of managing multiple priorities in a dynamic, fast-paced environment.

• Strong interpersonal skills and a commitment and ability to teach/mentor/advise at all levels of data analysis proficiency, promoting a culture of continuous learning and growth.