Operations Data Analyst, Career

Job Title: Operations Data Analyst, Career

Location: Oakland, CA

Pay: 4 Months

Top Things Looking For:

• 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

Top Skill Sets Looking For In A Candidate:

• Problem solving
• Critical thinking
• Nimble
• Tenacious
• Curious
• Ability to navigate through ambiguity

Responsibilities:

• 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. Create automated data routines and processes for reporting and data delivery ensuring accurate data manipulation and data cleansing.
• Manage standard data extracts and list pulls ensuring accurate data. Transfer the data from databases to various analysts to support operational analysis efforts.
• Demonstrate full understanding of data processing and analysis techniques. Analyze data using various statistical tools to develop ad hoc reports, statistics, trends, and profiles.
• Develop and communicate clear, concise, and actionable data analyses for clients.

Education Minimum:

• BA/BS Degree in Marketing, Business, Computer Science, Engineering, or other related field or equivalent work experience

Minimum Experience:

• 2 years of related work experience

Knowledge, Skills, and Abilities (Desired):

• 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