Senior Data Analyst leading and executing complex data analysis projects for Xylem, a global water solutions company, with a focus on data-driven decision-making and collaboration.
Responsibilities
Conduct data analysis to identify trends and insights
Develop and maintain data models
Create dashboards and reports to communicate findings
Collaborate with cross-functional teams to gather and analyze data for business decisions
Oversee data collection, cleaning, and validation processes
Ensure data accuracy and integrity
Develop and maintain data governance policies
Identify and implement data quality improvements
Design and develop visualizations for data interpretation
Utilize various tools and techniques to present data in a user-friendly and impactful manner
Collaborate with stakeholders to understand business needs and objectives
Develop data strategies to support business goals
Identify and recommend new data sources and technologies
Monitor and evaluate data processes and systems for efficiency and effectiveness
Lead data projects from conception to completion
Create project plans, timelines, and budgets
Monitor and report project progress and risks
Coordinate with team members to ensure project success
Requirements
A bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics, or a related field with at least 4 years experience
Extensive experience in data analysis, statistical modeling, and machine learning
Proficiency in programming languages like Python, R, or MATLAB for data manipulation and analysis
Expertise in using data visualization tools such as Tableau, Power BI, or D3.js
Strong understanding of engineering principles and processes
Project management skills to lead complex data initiatives
Ability to communicate effectively with technical and non-technical stakeholders
Problem-solving mindset to tackle intricate engineering challenges using data-driven approaches
Continuous learning to stay updated with emerging technologies and methodologies in data science
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