Jr. Data / BI Analyst

• Dashboards and Reporting
• Data governance
• Records management
• audit
• tracker accuracy
• trend analysis
• root cause analysis
• folder structures
• data logging taxonomy
• audit-ready documentation
• logging automation

SKILL SETS LOOKING FOR IN A CANDIDATE: Problem solving, Critical thinking, Nimble, Tenacious, Curious, Ability to Navigate thru Ambiguity

• Manage standard, routine data analysis projects with limited supervision from initial request to presenting data results ensuring that the project is completed within budget and on-time.
• Work with other Data Management Analysts to process data, analyze data and report findings. Creates automated data routines and processes for reporting and data delivery ensuring accurate data manipulation and data cleansing.
• Manages standard data extracts and list pulls ensuring accurate data. Transfers the data from databases to various analysts to support operational analysis efforts.
• Demonstrates full understanding of data processing and analysis techniques. Analyzes data using various statistical tools to develop ad hoc reports, statistics, trends and profiles.
• Develops and communicates clear, concise and actionable data analyses for clients.

• Technical analytics / BI capability - especially Power BI, Power Apps/Power Platform, SQL, data modeling, and related analytical tools.
• Strong analytical judgment and problem-solving - ability to work through complex data, validate analysis, identify risks/issues, and turn findings into actionable insights.
• Communication and business/utility context - ability to translate technical findings for business and leadership audiences; utility, operations, compliance, or risk experience was repeatedly preferred., * BA/BS Degree in Marketing, Business, Computer Science, Engineering or other related field or equivalent work experience
• 2 years of related work experience
• Familiarity with utility operations.
• Skilled in Microsoft Excel/Access (complex formulas, graphing, VBA)
• Skilled writing SQL queries using Oracle or Business Objects
• Skilled developing dashboards (PowerBi)
• Skilled developing and reporting metrics and KPIs
• Experience in UNIX shell programming (csh, awk, sed, vi).
• Knowledge of base-SAS and programming language such as Visual Basic, Perl, C
• Able to analyze and interpret data and effectively communicate findings.