Senior Data Analyst

• Job Title: Senior Data Analyst
• Location: Tampa, Florida Hybrid - 4 days a week onsite
• Duration: 12 Months W2 only
• Interview Process: Virtual
• PRIMARY DUTIES AND RESPONSIBILITIES
• • 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.

QUALIFICATIONS

• 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.