The Analyst will be responsible for supporting data governance, data quality, and analytics initiatives across Gas Operations systems. The role involves analyzing data across multiple platforms, developing and maintaining SQL queries and dashboards, and identifying and resolving data quality issues. The candidate will work closely with business and technical stakeholders to improve data reliability, reporting processes, and overall data usability. The candidate must be capable of working independently and collaboratively while contributing to ongoing efforts in data governance, system integration, and modern data platforms. Required Education/Experience Bachelor's Degree and 2 years' full-time work experience in operations, IT, data analytics, or related experience or Associate's Degree and 4 years' full-time work experience in operations, IT, data analytics, or related experience Preferred Education/Experience Bachelor's Degree Business Administration, Engineering, Mathematics, Economics, Accounting, Finance, Statistics, English, or Related Disciplines and 2 years of relevant work experience work experience performing or assisting in the development of technical studies or analyses Associate's Degree and Associate's Degree4 years' full-time work experience in IT, data analytics, operations, or related experience High School Diploma/GED 5 years' full-time work experience in IT, data analytics, operations, or related experience Relevant Work Experience Experience in data analytics, data governance, database management, or a related field. Required Experience working with Gas Operations data and systems, including familiarity with Gas Central, CC&B, eGIS, or comparable enterprise operational platforms. Required Experience developing and maintaining dashboards using Power BI or similar enterprise reporting tools. Required Experience with Python or similar tools to support data transformation, automation, validation, and analysis Required Strong understanding of upstream and downstream data flows and the ability to analyze data across interconnected systems Required Demonstrated ability to gather, interpret, and translate business requirements into technical solutions and reporting outputs. Required Strong analytical, organizational, and problem-solving skills with a high level of attention to detail and commitment to data accuracy. Required Ability to work independently, manage multiple priorities, and adapt to evolving business and data requirements. Required Skills and Abilities Strong written and verbal communication skills Well organized, detail oriented and flexible to handle multiple assignments Excellent organizational skills Excellent collaboration and team building skills Excellent interpretation of complex statistical data Must be proficient in Microsoft Office including Word, Excel, Outlook and PowerPoint, etc. Licenses and Certifications Driver's License Required Additional Physical Demands The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays. The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays. Core Responsibilities Interact with business and technical stakeholders across multiple organizations to understand data needs, support reporting requirements, and contribute to organization-wide data quality and governance goals. Analyze data across multiple systems to identify trends, inconsistencies, and data quality issues, and provide recommendations to improve processes and data reliability. Develop and maintain SQL queries to extract, validate, and analyze data across multiple data sources. Develop, maintain, and optimize reporting solutions, including dashboards, queries, and data extracts, to support operational and strategic decision-making. Develop and maintain Python-based processes to support data transformation, automation, validation, and analysis. Perform data validation, reconciliation, and root cause analysis to resolve discrepancies and improve accuracy across enterprise systems. Support data governance and data quality initiatives, including monitoring data quality, documenting business rules and data definitions, and improving consistency and usability of reporting outputs. Assist in developing and maintaining data quality metrics, scoring frameworks, and reporting standards to measure and track performance. Maintain documentation related to data sources, workflows, reporting logic, and governance processes. Support integration of data into modern data platforms (e.g., Fabric or Data Lake environments) and contribute to evolving data architecture and reporting capabilities. Proactively identify opportunities to improve data quality, reporting processes, and overall data usability across the organization. Work independently and collaboratively to manage multiple priorities, demonstrate initiative, and contribute to team and organizational goals. Perform other related analytical and administrative tasks as required.