Data Performance Analyst

About the role

This position leads the program development, implementation, and management to capture, maintain, and analyze data & work processes accurately and consistently for operational, customer, and regulatory requirements. The position also plays a crucial role in handling and analyzing large datasets to uncover valuable insights. They use statistical methods, machine learning algorithms, and data visualization techniques to interpret complex data and translate the data findings into actionable business strategies that support data-driven decision-making. Additionally, they may assist in developing predictive models, automating data collection processes and ensuring data quality and integrity.

Responsibilities

• Obtain, create, and analyze data to monitor business performance & create/generate operational.
• Identify performance trends and areas for improvement.
• Lead the development & implementation of technology, information systems, and strategies targeted at the maintenance/tracking of data ensuring compliance with all business, customer, and regulatory requirements.
• Liaison to other business areas regarding data quality & use for business reporting.
• Direct the formation, development, and implementation of tools specifically designed to improve the accuracy, timeliness, and integrity of data.
• Track & reports performance results.
• In cooperation with leadership, identify actions to improve performance and/or performance tracking.
• Maintain monitoring associated change management within the business to prepare for, adopt, and sustain business changes.
• Oversee the development & maintenance of appropriate project tracking tools, system enhancements.
• Support cross-functional collaboration in the development & tracking of business improvements supporting data management processes.
• Find new opportunities in statistical analysis, predictive analytics, and transforming data into information with appropriate business context.
• Investigate complex data table structures to identify data relationships & the location of required data.
• Validate accuracy of the extraction or query results.
• Lead the development/implementation of technology addressing the gathering of data with regard to Capital improvements, equipment removal, ongoing maintenance, and operation of assets.
• Recognized as the key SME with leadership to understand business challenges & forge a partnering relationship for problem solving.
• Understand the business and/or information challenge within operating groups.
• Clarify data requirements, manage expectations, and enhance organization's credibility, transparency, and partnership within Xcel and its vendor relationships.
• Support an environment of continuous improvement & learning to foster skill development.

Requirements

• Bachelor's degree in computer science, Information Systems, Business, Engineering, Engineering Technology, Math, Finance, Statistics or related scientific fields (or combination of education and experience providing equivalent knowledge).
• Demonstrated expert level knowledge in MS Office applications.
• 5-7 years related work experience demonstrating mastery skill levels with database structures, query and report building, data analysis, data research, data quality review, data requirements development, flowcharting, and data graphing/presentation.
• Experience or proficiency with data analytics tools such as Microsoft Excel, Business Objects, Databricks, Python, Java, VBA, SQL, and PowerBI.
• Strong organizational/time management skills with the ability to manage and prioritize multiple projects concurrently with no supervision while meeting schedules and deadlines to assure successful results.
• Strong communication skills and assertiveness to ask insightful questions and learn industry-specific processes and terminology.

Qualifications

• Minimum qualifications:
• Bachelor's degree in computer science, Information Systems, Business, Engineering, Engineering Technology, Math, Finance, Statistics or related scientific fields (or combination of education and experience providing equivalent knowledge).
• 5-7 years related work experience demonstrating mastery skill levels with database structures, query and report building, data analysis, data research, data quality review, data requirements development, flowcharting, and data graphing/presentation.
• Experience or proficiency with data analytics tools such as Microsoft Excel, Business Objects, Databricks, Python, Java, VBA, SQL, and PowerBI.
• Strong organizational/time management skills with the ability to manage and prioritize multiple projects concurrently with no supervision while meeting schedules and deadlines to assure successful results.
• Strong communication skills and assertiveness to ask insightful questions and learn industry-specific processes and terminology.

Skills

• Data analysis
• Data visualization
• Statistical methods
• Machine learning algorithms
• Database structures
• Query and report building
• Data research
• Data quality review
• Data requirements development
• Flowcharting
• Data graphing/presentation
• Data analytics tools (Microsoft Excel, Business Objects, Databricks, Python, Java, VBA, SQL, PowerBI)

Benefits

• Annual Incentive Program
• Medical/Pharmacy Plan
• Dental
• Vision
• Life Insurance
• Dependent Care Reimbursement Account
• Health Care Reimbursement Account
• Health Savings Account (HSA) (if enrolled in eligible health plan)
• Short-term disability (STD)
• Long-term disability (LTD)
• Employee Assistance Program (EAP)
• Tuition reimbursement
• Transportation Reimbursement Account
• Parental Leave

Pay

The anticipated starting base pay for this position is: $84,900.00 to $120,566.66 per year

Schedule

N/A