Kyndryl is hiring a Senior Lead, Data Analysis to play a pivotal role in our data-driven culture. You will leverage your expertise to provide actionable insights that optimize workforce strategies in areas like Talent Management and Employee Experience.
What You'll Do
- Conduct in-depth data analysis to identify trends, patterns, and insights that inform workforce strategies and business decisions.
- Engage with HR, business leaders, and other stakeholders to understand their data needs and provide tailored analytical solutions.
- 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.
- Utilize data visualization tools to deliver compelling visualizations that communicate insights to non-technical audiences.
- Surface hidden insights using statistical techniques to uncover drivers of performance or engagement.
- Ensure data integrity, consistency, and accuracy across all projects.
- Collaborate with data governance teams to align processes and maintain high data quality standards.
- Monitor requests and find opportunities to automate frequent asks, streamline processes, and enhance efficiency.
What We're Looking For
- A bachelor's or master's degree in Computer Science, Data Engineering, IT, or a related field.
- Fluent English.
- 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, R, and Excel.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
- A curious and self-starter mindset.
- Ability to work in a fast-paced, dynamic environment.
Nice to Have
- Experience designing compelling data stories on presentation tools, such as PowerPoint.
- Formal training in quantitative-related fields.
- Proven experience with analysis ranging from descriptive statistics to ANOVA and regression.
Technical Stack
- Tableau, Power BI
- SQL, Python, R
- Excel, PowerPoint
Team & Environment
You will collaborate closely with data engineers, data scientists, and business stakeholders to ensure data integrity and deliver impactful analytical solutions.
Benefits & Compensation
- Access to best-in-class training and certifications from companies like Microsoft, Google, Amazon, and Skillsoft.
- A volunteering and donation platform with access to over 2 million non-profit organizations.
- Benefits that reflect the diversity of employees and support you and your family.
We look forward to creating a fairer and more inclusive world for our employees, our customers, and our communities. Diversity is much more than our appearance or our origin; it's about what we think and who we are. We welcome people of all cultures, backgrounds, and experiences and are committed to welcoming everyone into our organization.
