Data Analyst

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

Join Kyndryl as a Data Analyst where you will unlock the power of data to drive strategic decisions and shape the future of our business. As a key member of our team, you will harness your expertise in basic statistics, business fundamentals, and  communication to uncover valuable insights and transform raw data into rigorous visualizations and compelling stories. 
In this role, you will have the opportunity to work closely with our customers as part of a top-notch team. You will dive deep into vast IT datasets, unraveling the mysteries hidden within, and discovering trends and patterns that will revolutionize our customers' understanding of their own landscapes. Armed with your advanced analytical skills, you will draw compelling conclusions and develop data-driven insights that will directly impact their decision-making processes.

Technical Professional to Design, Build and Manage a Data Warehouse or Data Lakehouse, blending core analytics with data engineering capabilities.  
Your role goes beyond traditional data analysis. You will be a trusted advisor, utilizing your domain expertise, critical thinking, and consulting skills to unravel complex business problems and translate them into innovative solutions. Your proficiency in cutting-edge software tools and technologies will empower you to gather, explore, and prepare data – ensuring it is primed for analysis, business intelligence, and insightful visualizations.
Collaboration will be at the heart of your work. As a Data Analyst at Kyndryl, you will collaborate closely with cross-functional teams, pooling together your collective expertise to gather, structure, organize, and clean data. Together, we will ensure the data is in its finest form, ready to deliver actionable insights.
Your unique ability to communicate and empathize with stakeholders will be invaluable. By understanding the business objectives and success criteria of each project, you will align your data analysis efforts seamlessly with our overarching goals. With your mastery of business valuation, decision-making, project scoping, and storytelling, you will transform data into meaningful narratives that drive real-world impact.
At Kyndryl, we believe that data holds immense potential, and we are committed to helping you unlock that potential. You will have access to vast repositories of data, empowering you to delve deep to determine root causes of defects and variation. By gaining a comprehensive understanding of the data and its specific purpose, you will be at the forefront of driving innovation and making a difference.

Key Responsibilities

• Data Modelling and Transformation: Design and build clean, reliable, and scalable data models within the data warehouse or Lakehouse. This involves transforming raw data from various sources into a structured and understandable format that is optimized for analysis.

• Warehouse/Lakehouse Development and Maintenance: Developing and managing the organization's analytical data repository. This includes creating data pipelines, ensuring data quality, and managing the infrastructure that makes data accessible to the broader team.

• ETL/ELT Pipeline Management: Proficient to build and maintain the processes for extracting, transforming, and loading (ETL/ELT) data from source systems into the Data Warehouse or Lakehouse, ensuring the data is fresh and reliable.

• Collaboration and Requirement Gathering: Work closely with business users to understand their data needs and with data engineers to ensure the underlying data infrastructure supports the required analytics.

• Documentation and Governance: A key responsibility is to create and maintain documentation for data models, metrics, and business logic to ensure consistency and trustworthiness in the data

If you are ready to unleash your analytical ability, collaborate with industry experts, and shape the future of data-driven decision making, then join us as a Data Analyst at Kyndryl. Together, we will harness the power of data to redefine what is possible and create a future filled with limitless possibilities.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

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.

Required Technical and Professional Expertise

• 8-10 years of experience as an Data Analyst

• Advanced SQL: Able to write complex, performant SQL queries to transform and model data.

• Data Warehousing/Lakehouse Platforms: Deep knowledge of modern cloud platforms like Synapse, Spark, Fabric, or Databricks Lakehouse. Building Schemas, Data Models, Partitioning etc

• Data Transformation Tools: Proficiency with tools like dbt (data build tool) is essential for modern data transformation workflows.

• ETL/ELT Tools: Experience with data integration platforms such as Ni-Fi, Airflow, Data factory, Splunk or the native integration tools of cloud providers.

• BI and Visualization Tools: Strong skills in tools like Tableau, Power BI, or Qlik to build reports and dashboards.

• Python: A good understanding of Python is often required for scripting, automation, and more complex data manipulation tasks.

• Version Control: Familiarity with Git for managing code and collaborating on data models.

• DWH: Proficient on two technologies like Cloudera, MS Fabric, Datawarehouse

Preferred Technical and Professional Experience

• Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology

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.