Data Analyst at Petco utilizing advanced analytical techniques to optimize customer behavior insights. Collaborating with teams to influence decisions, enhance retention, and improve performance.
About the role
- 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
Benefits
- Professional Development
- Flexible working hours
- Opportunity to work with cutting-edge technology
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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