Data analyst – kyndryl
hoy
who we are
at kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. We are committed to moving forward 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. 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.
your responsibilities include:
* work closely with customers as part of a cross-functional team.
* dive into it datasets to identify trends and patterns that inform decision-making.
* transform data into insights, visualizations, and narratives that drive business outcomes.
* act as a trusted advisor, translating complex business problems into innovative data solutions.
* collaborate with cross-functional teams to gather, structure, clean, and prepare data for analysis and visualization.
* communicate business objectives and success criteria to align data analysis with organizational goals.
* leverage data to determine root causes of defects and variation and support data-driven decision making.
your future at kyndryl
every position offers opportunities to grow your career, with hands-on experience, learning opportunities, and potential certifications across major platforms.
who you are
you have experience and a growth mindset, are customer-focused, and are inclusive in collaboration with others.
required skills and experience
* 5 years of experience in data analysis or related roles.
* strong problem-solving, analytical, and critical-thinking skills.
* excellent communication and presentation skills for both technical and non-technical audiences.
* ability to manage multiple projects with high attention to detail.
preferred skills and experience
* degree in a quantitative field (e.g., industrial engineering, finance, economics).
* experience with data analysis tools and languages (e.g., looker, power bi, quicksight, bigquery, azure synapse, python, r, sql).
* professional or cloud certifications (e.g., asq six sigma, aws/gcp/azure data analytics).
being you
we value diversity and inclusivity. We welcome people from all cultures, backgrounds, and experiences.
#j-18808-ljbffr