80/20 Data Analyst

About the role

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions. . Essential Duties / Principal Responsibilities Support the MCS Business Operations team in executing analytics tied to 80/20 transformation, growth initiatives, and operational productivity. Collect, organize, validate, and analyze data from multiple sources to support leadership decision-making and cross-functional business reviews. Build, maintain, and enhance Power BI dashboards and recurring reports that provide visibility to key business performance indicators. Write and optimize SQL queries to extract, structure, and prepare data for reporting, dashboarding, and analysis. Assist in 80/20 segmentation analysis across products, customers, markets, or other dimensions to identify the critical few opportunities and simplification priorities. Support KPI monitoring, variance analysis, and trend analysis to help teams understand business drivers and performance gaps. Help develop clear and accurate executive-level reporting materials, including charts, summaries, and data-driven business narratives. Translate complex datasets into concise insights and recommendations that can be understood and acted upon by non-technical stakeholders. Partner with stakeholders across functions to clarify reporting needs, understand business questions, and deliver timely analytics support. Monitor and improve data quality, reporting accuracy, and consistency in definitions, logic, and presentation. Support scenario analysis and trade-off modeling to inform business prioritization and operational decision-making. Identify opportunities to streamline reporting processes, simplify analysis workflows, and improve the accessibility of insights. Maintain documentation for reports, metrics, assumptions, and data logic to support transparency and continuity. Demonstrate strong responsiveness, professionalism, and follow-through in supporting leadership requests and routine reporting needs. 3. High-Impact Behaviors Data-to-Decisions Mindset: Focuses on using data to support practical, timely, and business-relevant decisions. Learning Agility: Quickly learns new business concepts, systems, and analytical methods in a dynamic environment. Stakeholder Engagement: Builds productive working relationships and actively supports the needs of cross-functional partners. Clear Communication: Explains complex data and analytical findings in simple, concise language tailored to the audience. Action Orientation: Delivers accurate work with urgency, ownership, and attention to deadlines. Analytical Curiosity: Asks thoughtful questions, investigates trends and variances, and seeks to understand root causes. Collaboration: Works effectively with others, welcomes feedback, and contributes positively to team objectives. Operational Rigor: Applies consistency, discipline, and attention to detail in reporting, analysis, and follow-through. Continuous Improvement: Identifies opportunities to simplify reporting, improve data quality, and strengthen business insight generation. Professionalism: Demonstrates reliability, integrity, sound judgment, and a customer-focused approach in all interactions. 4. Minimum Qualifications Bachelor's degree in Business, Finance, Economics, Data Analytics, Information Systems, Statistics, Engineering, or a related field. 3-7 years of experience in analytics, reporting, business intelligence, finance, operations, or a related area through coursework, internships, co-ops, or professional experience. Demonstrated proficiency in SQL for querying, extracting, and manipulating data. Demonstrated proficiency in Power BI for dashboard development, visualization, and reporting. Strong analytical and problem-solving skills with the ability to work with structured and complex datasets. Ability to quickly understand business needs and synthesize data into relevant insights for decision-making. Strong written and verbal communication skills, including the ability to explain data clearly to non-technical stakeholders. Effective organizational skills with the ability to manage multiple tasks, priorities, and deadlines. Proficiency in Microsoft Office applications, particularly Excel and PowerPoint. Ability to work collaboratively in a cross-functional environment and support leadership with professionalism and responsiveness. 5. Preferred Qualifications Experience with business performance reporting, KPI dashboards, or operational analytics in a corporate or manufacturing-related environment. Exposure to 80/20 analysis, segmentation, profitability analysis, or business p

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