Senior Lead, Data Analysis

Join to apply for the Senior Lead, Data Analysis role at Kyndryl

Join to apply for the Senior Lead, Data Analysis role at Kyndryl

Who We Are
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

Who We Are
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
The Role
As a Senior Lead Data Analyst, you will play a pivotal role in driving data-driven decision-making across our organization. You will leverage your expertise in data analysis, visualization, and output interpretation to provide actionable insights that optimize our workforce strategies, especially related to Talent Management, Performance, and Employee Experience. You will collaborate closely with data engineers, data scientists, and business stakeholders to ensure data integrity and deliver impactful analytical solutions.
Key Responsibilities:

• Data Analysis and Interpretation: Conduct in-depth data analysis to identify trends, patterns, and insights that inform workforce strategies and business decisions.
• Stakeholder Engagement: Engage with HR, business leaders, and other stakeholders to understand their data needs and provide tailored analytical solutions that answer their critical questions and drive business outcomes.
• Collaboration with Data Teams: Work closely with data engineers and data scientists to ensure data is clean, structured, and ready for analysis. Participate in designing scalable data pipelines and architectures to support analytical workflows.
• Insights and Data delivery: Utilize data visualization tools (e.g., Tableau, Power BI) and design presentations using PowerPoint to deliver compelling visualizations that communicate basic to complex analytical insights to non-technical audiences.
• Advanced Insights: Surface hidden insights using statistical techniques (e.g., ANOVA, Regression) to uncover drivers of performance or why some groups are more engaged than others to drive business performance.
• Data Quality: Ensure data integrity, consistency, and accuracy across your projects. Collaborate with data governance teams to align processes and maintain high data quality standards.
• Identify opportunities: Monitor requests and find opportunities to automate frequent asks, streamline and help enhance efficiency in our processes, products, and cross-collaboration.
  

Who You Are
You're good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you're open and borderless – naturally inclusive in how you work with others.
Skills And Experience

• Have a bachelor or master degree in Computer Science, Data Engineering, IT or related areas.
• Fluent English
• Show strong experience in data analysis, visualization, and interpretation.
• Proficiency with data visualization tools such as Tableau or Power BI.
• Strong proficiency with data management and analysis tools, such as SQL, Python or R, Excel
• Experience designing compelling data stories on presentation tools, such as PowerPoint is preferred
• Formal training in quantitative related fields
• Strong analytical and problem-solving skills.
• Proven experience with simple to advanced analysis, such as descriptive statistics, ANOVA, and regression is preferred.
• Excellent communication and collaboration skills.
• Curious and self-starter
• Ability to work in a fast-paced, dynamic environment.
  

Being You
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
What You Can Expect
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
Get Referred
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address. Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Analyst, Information Technology, and Engineering
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at Kyndryl by 2x

Sign in to set job alerts for "Lead Data Analyst" roles.

We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

---