Sr. Data Analyst

• The Data Analyst, Sr. - ADI supports the delivery and sustained use of data, analytics, and artificial intelligence solutions by translating business needs into reliable data products, actionable insights, and decision-support tools.
• The role independently prepares, analyzes, validates, and visualizes complex data; develops and maintains business intelligence solutions; strengthens data quality and governance; and partners with business and Technology stakeholders throughout the solution lifecycle.
• The senior analyst also provides technical guidance, promotes consistent analytical practices, and supports the growth of less-experienced analysts.

Advancement In Progression

• Advancement to a higher level is based on value added to the Company through increased duties, responsibilities, and accomplishments.
• Advancement is not automatic or based solely on time in the job.
• It is based on demonstrated performance, proficiency, accomplishments, qualifications, and the business and technical needs of the department., * Prepare, integrate, cleanse, and analyze complex data sets for reports, dashboards, analytics products, and AI-enabled solutions. (15%)
• Design, build, enhance, and maintain business intelligence reports and dashboards using tools such as Microsoft Power BI and Excel. (15%)
• Translate business questions into analytical approaches, measures, data requirements, and clear findings that support operational and strategic decisions. (15%)
• Support solution design and prototyping by performing exploratory analysis, developing data visualizations, and evaluating solution feasibility. (10%)
• Lead or support requirements gathering, data validation, user acceptance testing, deployment readiness, and post-implementation adoption activities. (10%)
• Monitor data quality, investigate errors and anomalies, perform root-cause analysis, and coordinate corrective actions with data owners and technical partners. (10%)
• Support data governance by documenting key fields, calculations, terminology, lineage, controls, and business processes for assigned solutions. (10%)
• Collaborate with business and Technology partners to prioritize analytical needs, communicate findings, and deliver practical, actionable insights. (10%)
• Provide technical guidance, peer review, knowledge sharing, and mentoring to analysts; contribute to standards and continuous improvement. (5%)

Senior-Level Scope

• Performs assignments of moderate to high complexity with minimal supervision and exercises sound judgment in selecting analytical methods and resolving data issues.
• Independently manages analysis and reporting work from requirements through validation, delivery, and sustainment.
• Leads or participates in cross-functional workstreams and serves as a knowledgeable resource for assigned data domains and analytics solutions.
• Reviews work products for accuracy, clarity, usability, and alignment with established standards.
• Identifies opportunities to improve data quality, reporting efficiency, automation, adoption, and decision support.

Relationships

• Key Internal: ADI and Technology teams, data owners, product and project teams, operational leaders, subject-matter experts, and business unit partners.
• Key External: Technology vendors, consultants, implementation partners, and professional organizations, as assigned.
• Indirect: May lead cross-functional workstreams and provide mentoring, training, technical guidance, and peer review to less-experienced analysts., * This position description is intended to describe the general nature and level of work performed.
• It is not an exhaustive list of all duties, responsibilities, qualifications, or working conditions. Responsibilities may be adjusted based on business needs and organizational priorities.

• Required: Bachelor’s degree in a technical or STEM discipline, such as Data Science, Analytics, Information Systems, Computer Science, Engineering, Mathematics, Statistics, or a related field.
• Preferred: Advanced coursework or graduate degree in a related technical, analytical, or STEM discipline.

Related Experience

• Required: Two (2) to five (5) years of progressively responsible experience in data analysis, business intelligence, reporting, data visualization, or a related analytical role.
• Preferred: Experience supporting enterprise analytics, large or complex datasets, utility operations, or technology transformation programs.
• Experience with Power BI, SQL, Snowflake, Python, machine learning, or AI data solutions.

Licenses / Certifications

• Preferred: Relevant certifications or completed training in data analytics, Power BI, SQL, Python, cloud data platforms, data visualization, or Agile delivery.

Knowledge, Skills And Abilities

• Advanced analytical and problem-solving skills, including the ability to identify patterns, assess data quality, investigate anomalies, and communicate implications.
• Proficiency with Microsoft Excel and experience developing business intelligence reports and dashboards in Microsoft Power BI or a similar platform.
• Working knowledge of SQL and relational data concepts; ability to query, join, validate, and reconcile data from multiple sources.
• Ability to define measures, calculations, data requirements, acceptance criteria, and documentation that support repeatable and trusted analytics.
• Ability to present complex information in clear, concise language for technical and non-technical audiences.
• Knowledge of data governance, data quality, privacy, security, and responsible use of data and AI.
• Ability to manage multiple priorities, work independently, collaborate across functions, and deliver accurate work within established timelines.
• Familiarity with software development lifecycle or Agile methods, requirements gathering, testing, change readiness, and solution adoption.
• Ability to mentor peers, provide constructive review, and contribute to analytical standards and continuous improvement.

Job-Related Dimensions

• Adaptability / Leading Change
• Analytical Thinking and Problem Solving
• Builds Collaborative Relationships
• Business and Job Knowledge

Communication / Presentation Skills

• Customer Service Orientation
• Judgment
• Ownership and Excellence
• Produces Results
• Teamwork
• Working Safely
• Cultivates Innovation

• Normal office environment. Work may be performed in hybrid or remote settings consistent with department requirements. Occasional travel to Company locations or partner sites may be required.

Physical Demands / Requirements

• Primarily sedentary work involving extended use of a computer and standard office equipment.
• May require occasional weekend or overtime work, including rotational or project-based support, based on business needs.