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.Job Summary: The Data Analyst is a vital player in the business landscape, wielding the power of data to unlock insights and guide strategic decisions. Their role encompasses the meticulous gathering and scrubbing of data, followed by rigorous analysis using statistical methods. The insights gleaned are then transformed into compelling visual narratives and detailed reports that resonate across departments, influencing policy and practice. With a keen eye for detail and a firm grasp on analytical tools, a Data Analyst bridges the gap between raw data and actionable intelligence, making them an indispensable asset to any data-driven organization. Responsibilities: Data Analysis • Collect and organize data from various sources • Perform data cleaning and data validation • Conduct statistical analysis and data modeling • Identify patterns and trends in data • Create visualizations and dashboards to present data insights Report Generation • Prepare and deliver reports to stakeholders • Communicate data findings and recommendations • Ensure accuracy and integrity of data in reports Data Management • Develop and maintain databases • Monitor data quality and ensure data security • Implement data governance policies • Identify and resolve data issues Data Mining • Utilize data mining techniques to extract information • Identify and analyze large datasets • Develop predictive models and algorithms Collaboration • Collaborate with cross-functional teams • Communicate and coordinate with data engineers and scientists • Collaborate with business analysts to understand data needs Continuous Improvement • Stay updated on industry trends and advancements • Identify opportunities for process improvement • Suggest and implement new tools and techniques for data analysis Documentation • Document data analysis processes and procedures • Maintain data dictionaries and code libraries • Create user guides and training materials for data analysis tools. High Impact Behaviors: • Continuous Professional Development: Professionals should be committed to lifelong learning, seeking out opportunities for self-improvement, and staying abreast of industry trends and best practices. • Collaboration and Teamwork: Effective professionals understand the value of collaboration. They work well with others, contribute to team goals, and understand that diverse perspectives can lead to better solutions. • Results-Driven Performance: High-performing professionals focus on delivering results. They set high standards for their own performance and are committed to achieving objectives efficiently and effectively. Required Skills &amp; Qualifications:• A bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics, or a related field with at least 2 years experience or equivalent work experience that provides exposure to fundamental theories, principles, and concepts.• Proficiency in data analysis tools such as SQL, Python, R, or specialized software relevant to the engineering industry.• Experience with data visualization tools like Tableau, Power BI, or similar.• Strong understanding of statistical analysis and mathematical concepts.• Knowledge of engineering principles and the ability to understand technical documentation.• Analytical thinking and problem-solving skills.• Attention to detail and the ability to spot trends and patterns in complex data sets.• Communication skills to effectively translate data findings into actionable insights for engineering teams.Join the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-use. Our products impact public utilities, industrial sectors, residential areas, and commercial buildings, with a commitment to providing smart metering, network technologies, and advanced analytics for water, electric, and gas utilities. Partner with us in creating a world where water challenges are met with ingenuity and dedication; where we recognize the power of inclusion and belonging in driving innovation and allowing us to compete more effectively around the world.

Xylem is the global leader in advanced technologies, solutions and services that address the world&rsquo;s biggest water challenges. We enable our customers to dramatically improve the way water and wastewater is used, managed, conserved, re-used and returned to nature. At every level, our global team is committed to access, equity, inclusion, and diversity. Our goal is for all our colleagues to be involved, respected, valued, connected, and free to bring their authentic selves and ideas. If you are excited and passionate about solving water, we want to hear from you.

GIS Data Analyst

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.Job Summary: The Data Analyst is a vital player in the business landscape, wielding the power of data to unlock insights and guide strategic decisions. Their role encompasses the meticulous gathering and scrubbing of data, followed by rigorous analysis using statistical methods. The insights gleaned are then transformed into compelling visual narratives and detailed reports that resonate across departments, influencing policy and practice. With a keen eye for detail and a firm grasp on analytical tools, a Data Analyst bridges the gap between raw data and actionable intelligence, making them an indispensable asset to any data-driven organization. Responsibilities: Data Analysis • Collect and organize data from various sources • Perform data cleaning and data validation • Conduct statistical analysis and data modeling • Identify patterns and trends in data • Create visualizations and dashboards to present data insights Report Generation • Prepare and deliver reports to stakeholders • Communicate data findings and recommendations • Ensure accuracy and integrity of data in reports Data Management • Develop and maintain databases • Monitor data quality and ensure data security • Implement data governance policies • Identify and resolve data issues Data Mining • Utilize data mining techniques to extract information • Identify and analyze large datasets • Develop predictive models and algorithms Collaboration • Collaborate with cross-functional teams • Communicate and coordinate with data engineers and scientists • Collaborate with business analysts to understand data needs Continuous Improvement • Stay updated on industry trends and advancements • Identify opportunities for process improvement • Suggest and implement new tools and techniques for data analysis Documentation • Document data analysis processes and procedures • Maintain data dictionaries and code libraries • Create user guides and training materials for data analysis tools. High Impact Behaviors: • Continuous Professional Development: Professionals should be committed to lifelong learning, seeking out opportunities for self-improvement, and staying abreast of industry trends and best practices. • Collaboration and Teamwork: Effective professionals understand the value of collaboration. They work well with others, contribute to team goals, and understand that diverse perspectives can lead to better solutions. • Results-Driven Performance: High-performing professionals focus on delivering results. They set high standards for their own performance and are committed to achieving objectives efficiently and effectively. Required Skills &amp; Qualifications:• A bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics, or a related field with at least 2 years experience or equivalent work experience that provides exposure to fundamental theories, principles, and concepts.• Proficiency in data analysis tools such as SQL, Python, R, or specialized software relevant to the engineering industry.• Experience with data visualization tools like Tableau, Power BI, or similar.• Strong understanding of statistical analysis and mathematical concepts.• Knowledge of engineering principles and the ability to understand technical documentation.• Analytical thinking and problem-solving skills.• Attention to detail and the ability to spot trends and patterns in complex data sets.• Communication skills to effectively translate data findings into actionable insights for engineering teams.Join the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-use. Our products impact public utilities, industrial sectors, residential areas, and commercial buildings, with a commitment to providing smart metering, network technologies, and advanced analytics for water, electric, and gas utilities. Partner with us in creating a world where water challenges are met with ingenuity and dedication; where we recognize the power of inclusion and belonging in driving innovation and allowing us to compete more effectively around the world.

GIS Data Analyst

About the Job

About the Company

Xylem

Similar Jobs

Staff Analyst, Data Analysis

Staff Analyst, Data Analysis

Senior Data Analyst (m/f/d)

Senior Data Analyst (m/f/d)

Data Specialist (Field Based)

Data Specialist (Field Based)

Data Analyst - Commercial Excellence

Data Analyst - Commercial Excellence

Data Analyst

Data Analyst

Supply Chain Data Analyst - MDM

Supply Chain Data Analyst - MDM

BI Analyst

BI Analyst

Member of Technical Staff (Data)

Member of Technical Staff (Data)

Senior Data Analyst - Germany

Senior Data Analyst - Germany

Senior Data Specialist (Field Based)

Senior Data Specialist (Field Based)