Experience with dashboards and reporting, data governance, records management, audit, tracker accuracy, trend analysis, root cause analysis, folder structures, data logging taxonomy, audit-ready documentation, and logging automation. Create automated data routines and processes for reporting and data delivery ensuring accurate data manipulation and data cleansing.
Numbers & Facts
Location
Oakland or Sacramento, CA
Salary
$40–$42 Per Hour
Description
Summary:
Location: Oakland, CA
Duration: 4 Months
Work Mode: Hybrid (Up to 3 days per week in office)
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 data from databases to various analysts to support operational analysis efforts.
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.
Requirements:
BA/BS Degree in Marketing, Business, Computer Science, Engineering, or other related field or equivalent work experience.
Minimum 2 years of related work experience.
Preferred Skills:
Power platform skills (Power BI, Power Apps, Power Automate, Dataverse, etc.).
Experience with dashboards and reporting, data governance, records management, audit, tracker accuracy, trend analysis, root cause analysis, folder structures, data logging taxonomy, audit-ready documentation, and logging automation.
Problem solving, critical thinking, nimble, tenacious, curious, and ability to navigate through ambiguity.
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 (Power BI).
Skilled developing and reporting metrics and KPIs.
Experience in UNIX shell programming (csh, awk, sed, vi).
Knowledge of base-SAS and programming languages such as Visual Basic, Perl, C.
Able to analyze and interpret data and effectively communicate findings.