Senior Associate, Data Analysis

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🕒 May 24

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Kyndryl

10,000+ employees

Founded 2021

🏢 Enterprise

🔒 Cybersecurity

☁️ SaaS

Enterprise • Cybersecurity • SaaS

Kyndryl is a leading IT infrastructure services provider, serving thousands of enterprise customers worldwide. The company specializes in designing, building, managing, and modernizing complex, mission-critical information systems. Kyndryl offers a range of services including IT consulting, cloud services, cybersecurity, data and AI solutions, and digital workplace transformation. With a strong focus on innovation, partnerships, and co-creation, Kyndryl helps businesses tackle IT complexity and drive operational excellence. The company operates across various industries such as automotive, healthcare, banking, and more, providing expertise and solutions to address industry-specific challenges. Kyndryl's global network and strategic alliances empower enterprises to adapt to the evolving technology landscape, ensuring their essential systems are reliable and efficient.

📋 Description

• 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 • Work closely with our customers as part of a top-notch team • 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 • Draw compelling conclusions and develop data-driven insights that will directly impact their decision-making processes • Be a trusted advisor, utilizing your domain expertise, critical thinking, and consulting skills to unravel complex business problems and translate them into innovative solutions • Collaborate closely with cross-functional teams, pooling together your collective expertise to gather, structure, organize, and clean data

🎯 Requirements

• Excellent problem-solving, analytical, and critical-thinking skills • Communication and presentation skills, with the ability to convey complex data insights to both technical and non-technical audiences • Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail • Degree in a quantitative discipline, such as industrial engineering, finance, or economics • Knowledge of data analysis tools and programming languages (e.g. Looker, Power BI, QuickSight, BigQuery, Azure Synapse, Python, R, or SQL) • Professional certification, e.g., ASQ Six Sigma • Cloud platform certification, e.g., AWS Certified Data Analytics – Specialty, Google Cloud Looker Business Analyst, or Microsoft Certified: Power BI Data Analyst Associate

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities • Wellness programs • Learning opportunities

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