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Senior Director of Analytics

Heidrick & Struggles (Nasdaq: HSII) is the world’s foremost advisor on executive leadership, driving superior client performance through premier human capital leadership advisory services. For more than 70 years, we’ve delivered value for our clients by leveraging unrivaled expertise to help organizations discover and enable outstanding leaders and teams. Learn more at www.heidrick.com

Job Description:

Who We Are:

Heidrick & Struggles (Nasdaq: HSII) is a premier provider of global leadership advisory and on-demand talent solutions, serving the senior-level talent and consulting needs of the world's top organizations. In our role as trusted leadership advisors, we partner with our clients to develop future-ready leaders and organizations, bringing together our services and offerings in executive search leadership assessment and development, organization and team acceleration, culture shaping and on-demand, independent talent solutions. Heidrick & Struggles pioneered the profession of executive search more than 70 years ago. Today, the firm provides integrated talent and human capital solutions to help our clients change the world, one leadership team at a time.®  

Additional information on the firm can be found at www.heidrick.com. 

The Role

We are looking for a highly skilled and curious Senior Director of Analytics to standup and lead a small but high-performing Analytics team that blends data, advanced analytics, and a deep sense of curiosity to uncover insights to previously unanswered questions that drive strategic decision-making and commercial performance. Central to this role is the ability to work in a highly matrixed organization to build analytical frameworks to best understand leaders, companies and the unique combinations that drive success in an ever-changing world. You will play a critical role in shaping our data-driven culture, designing experiments, and ensuring that analytics are at the heart of our decision-making processes.

Heidrick Labs is a pioneering research and innovation division dedicated to transforming organizational leadership through cutting-edge insights and advanced analytics. Our multidisciplinary team combines expertise in data science, psychology, and business strategy to develop forward-thinking solutions that help companies navigate complex workplace challenges. This role requires a hands-on leader who is comfortable working across the analytics lifecycle—from data acquisition to insight generation and stakeholder communication. Your ability to tell compelling stories with data and influence decisions will be essential to success in this role. Through the Lab, Heidrick advances leadership diagnosis, delivers decision-driving insights into global workforce trends, leverages AI-powered talent strategy development and deliver organizational transformation consulting. We don't just study the future of work—we help organizations create it.

Responsibilities

  • Lead, mentor, and develop a small team of analysts, ensuring they operate effectively and efficiently in delivering high-impact insights.
  • Work closely with business leaders to identify and narrow a list of key questions and challenges that analytics can help solve, driving meaningful commercial outcomes.
  • Partner with the Heads of Data Architecture & Data Science to build and optimize data pipelines and analytical frameworks to enable efficient data exploration and hypothesis testing where insights add to a growing understanding of key entities
  • Design and execute rigorous analytics & experimentation strategies (A/B testing, causal inference, etc.) to evaluate business decisions and drive continuous improvement.
  • Leverage SQL, Python/R, and other analytical tools to extract, analyze, and visualize data effectively.
  • Translate complex data findings into clear, actionable insights through compelling storytelling and visualization techniques.
  • Act as a strategic partner to stakeholders, providing thought leadership on the application of analytics in decision-making.
  • Champion a culture of curiosity, innovation, and analytical excellence within the team and across the organization.
  • Work cross-functionally with business line leaders, product, marketing, operations, and engineering teams to align analytics with business goals and drive measurable impact.

Required Qualifications

  • 7-10 years of progressive experience in analytics or data science with at least 3 years in a leadership role.
  • Master’s degree in statistics, analytics, data science, or similar field, or equivalent practical work experience.
  • Intermediate to advanced expertise in SQL and at least one statistical programming language (R or Python).
  • Strong experience designing and analyzing experiments (A/B testing, multivariate testing, causal inference techniques) with expertise in machine learning, artificial intelligence and statistical analysis. 
  • Ability to communicate complex insights in a clear and engaging manner, influencing business stakeholders at all levels.
  • End-to-End Analytics Lifecycle Experience from data acquisition and transformation to insight generation and executive presentation.
  • Comfort presenting to senior leadership and influencing high-stakes decisions with data-driven insights.
  • Experience managing and developing small analytics teams, working cross-functionally in highly matrixed teams, fostering collaboration and high performance.
  • A curious mindset with a strong ability to break down ambiguous business problems and apply analytical solutions.
  • Strong understanding of how data and analytics drive business and commercial performance.
  • Ability to drive data literacy and foster a culture of data-driven decision-making across an organization.
  • Ability to work effectively across multiple teams, aligning analytics initiatives with broader business objectives.
  • Familiarity with modern cloud data platforms (AWS, GCP, Azure, Snowflake, etc.) with the ability to acquire data from disparate sources.
  • Understanding of GDPR, CCPA, and ethical AI principles when handling data.

Preferred Qualifications

  • Expert understanding of People Analytics with experience leveraging analytical frameworks and building key metrics to understand impact potential now and into the future.
  • Ph.D. in data analytics, statistics, machine learning, artificial intelligence, or related fields or 5+ years delivering people analytics in a top-tier consulting firm.

Pay Range Guidelines for this Position:

The salary range for this position is 170000 USD to 200000 USD. Compensation is based on several factors including but not limited to education, work experience and skills. In addition to your salary, Heidrick & Struggles offers discretionary bonuses (subject to eligibility requirements) and a comprehensive benefits package including: medical, dental, vision, disability leave, parental leave, paid time off and 401k contribution (all benefits are subject to eligibility requirements). Note: we have a location based compensation structure; there may be a different range for candidates in other locations.


Heidrick & Struggles is an equal opportunity employer committed to hiring qualified protected veterans and individuals with disabilities. All qualified applicants will be considered for employment without regard to race, color, religion, creed, age, sex, national origin, gender identity or expression, sexual orientation, disability, marital status, veteran or military status, or citizenship status.

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$170000K
$200000K

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What You Should Know About Senior Director of Analytics, Heidrick & Struggles

Heidrick & Struggles, a leading executive leadership advisor, is on the lookout for a dynamic and driven Senior Director of Analytics to join their Chicago team. This exciting role centers on building and leading a high-performing analytics team that leverages data and advanced analytics to unearth insights that fuel strategic decision-making. As the Senior Director of Analytics, you’ll engage with business leaders to tackle key challenges that analytics can solve, promoting meaningful commercial outcomes while fostering a culture of curiosity and innovation. The ideal candidate will bring a wealth of experience in statistics and data science, alongside significant leadership skills and a hands-on approach to driving data-driven culture within the organization. You will work closely with cross-functional teams to design rigorous experimentation strategies, extract and analyze data using SQL and Python, and effectively communicate compelling insights to key stakeholders. Your passion for storytelling with data will be essential, as will your ability to act as a strategic partner in translating complex findings into actionable insights. Heidrick & Struggles values collaboration across all levels and aims to enhance organizational performance through its innovative research division, Heidrick Labs. Here, you’ll have the opportunity to not just study the future of work but to actively shape it. If you are ready to influence top-tier organizations and drive analytics excellence, we encourage you to join us!

Frequently Asked Questions (FAQs) for Senior Director of Analytics Role at Heidrick & Struggles
What are the main responsibilities of the Senior Director of Analytics at Heidrick & Struggles?

As the Senior Director of Analytics at Heidrick & Struggles, your core responsibilities will entail leading and mentoring a high-performing analytics team, partnering with business leaders to identify key challenges that analytics can effectively address, and designing and executing robust analytics and experimentation strategies. You'll also be expected to translate complex data findings into engaging narratives that inform decision-making within the organization.

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What qualifications are required for the Senior Director of Analytics position at Heidrick & Struggles?

Candidates for the Senior Director of Analytics role at Heidrick & Struggles should possess 7-10 years of progressive experience in analytics or data science, including at least 3 years in a leadership capacity. A Master’s degree in a relevant field is preferred, alongside strong technical skills in SQL and a statistical programming language like Python or R.

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How does the Senior Director of Analytics contribute to Heidrick & Struggles’ goals?

In the role of Senior Director of Analytics, you will play an essential part in shaping a data-driven culture at Heidrick & Struggles. Your work will help identify insights that not only drive strategic decision-making but also enhance commercial performance, ultimately supporting the firm in achieving its leadership advisory objectives and helping organizations navigate complex business challenges.

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What technical skills are necessary for success as a Senior Director of Analytics at Heidrick & Struggles?

To thrive as the Senior Director of Analytics at Heidrick & Struggles, candidates should have intermediate to advanced expertise in SQL, proficiency in at least one statistical programming language like Python or R, and a strong understanding of experimental design techniques including A/B testing and causal inference. Familiarity with modern cloud data platforms will also be beneficial.

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What is the salary range for the Senior Director of Analytics position at Heidrick & Struggles?

The salary range for the Senior Director of Analytics at Heidrick & Struggles is between 170,000 USD and 200,000 USD, based on various factors like education, experience, and skills. Additionally, the role offers discretionary bonuses and a comprehensive benefits package.

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Common Interview Questions for Senior Director of Analytics
Can you describe your experience in leading an analytics team in a fast-paced environment?

When answering this question, aim to showcase your leadership style, strategies for mentoring team members, and methods for fostering collaboration. Highlight specific examples of how you guided your team to deliver impactful analytics solutions within tight deadlines.

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How do you identify key questions that analytics can address?

Illustrate your approach to collaborating with business leaders to pinpoint significant challenges. Provide examples of how you've successfully facilitated discussions that led to actionable insights, emphasizing your analytical process and communication skills.

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What strategies do you use to communicate complex data findings to non-technical stakeholders?

Discuss your storytelling techniques and visualization methods that make data accessible. Share a successful experience where you translated complex findings into clear recommendations, highlighting the impact it had on decision-making.

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Can you explain a time when you had to implement a new analytics strategy? What was the outcome?

Choose a specific example demonstrating your strategic thinking and adaptability. Describe the challenge, your analytical strategy, and how it positively affected the organization, including any measurable results.

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What role does experimentation play in your analytics approach?

Emphasize the importance of testing hypotheses through structured experimentation. Provide examples of different types of experimentation you've designed, like A/B testing, and explain how these helped clarify business decisions.

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How do you stay updated on the latest trends and tools in data analytics?

Share your commitment to continuous learning by discussing relevant courses, seminars, or communities you participate in, along with any recent trends you've applied successfully in your work.

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How do you foster a culture of data literacy within your team?

Describe specific initiatives you've undertaken to improve data literacy, such as training sessions or accessible platforms. Highlight how this culture has impacted overall team performance and decision-making.

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What challenges have you faced regarding data privacy and ethics? How did you address them?

Explain your awareness of data privacy regulations like GDPR and CCPA, and provide an example of a challenge related to ethical data usage that you've successfully navigated while maintaining compliance.

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How do you prioritize analytics projects in a multi-faceted environment?

Discuss your methodologies for prioritizing projects based on business impact, urgency, and resource availability. Provide examples of how you've effectively managed competing priorities while ensuring quality outcomes.

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What experience do you have with cloud data platforms, and how have you used them in your projects?

Share your hands-on experience with various cloud data platforms and specific projects where these tools enhanced analytics capabilities. Highlight any challenges you overcame while transitioning to cloud-based solutions.

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Full-time, on-site
DATE POSTED
March 29, 2025

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