Operations Data Analyst

Overview

On Site
$78 - $82
Contract - W2
Contract - 12 month(s)
No Travel Required

Skills

Data Integration
Data Analysis
DATA COLLECTION
Trend Identification
Operational

Job Details

Job Description:

Pay Range: $78hr - $82hr

Responsibilities:
  • Analyze business data to identify trends, patterns, and opportunities for operational and strategic improvements.
  • Collect, clean, and integrate data from various sources, including SAP, Foundry, GIS, and Copperleaf, to support business operations and asset planning.
  • Develop and maintain dashboards, reports, and visualizations using tools like Power BI or Tableau to communicate insights and performance metrics.
  • Collaborate with cross-functional teams to understand business needs, identify challenges, and translate them into data-driven solutions.
  • Extract and analyze various data from SAP to support decisions.
  • Utilize Foundry for advanced analytics, and data modeling.
  • Apply GIS tools for spatial data analysis and mapping to support location-based decision-making.
  • Respond to data requests.
  • Leverage Copperleaf for asset investment planning, lifecycle cost analysis, and value-based decision support.
  • Creates automated data routines and processes for reporting and data delivery ensuring accurate data manipulation and data cleansing.
  • Candidateages extracting data and transferring the data from databases to various analysts to support operational analysis efforts
  • Demonstrates and utilizes broad expertise in data processing and data analysis and applies this knowledge to a number of different issues.
Minimum Qualifications:
  • BA/BS Degree in Marketing, Business, Computer Science, Engineering or other related field or equivalent work experience.
  • Familiarity with utility operations.
  • Advanced skill in Microsoft Excel/Access (complex formulas, graphing, VBA)
  • Excellent at Power Bi and Tableau and other Business Clientligence and analytics software.
  • Advanced skill in writing SQL queries using Oracle or Business Objects
  • Strong knowledge of base-SAS and programming language such as Visual Basic, Perl, C in addition to Python.
XXred Qualifications:
  • Strong ability to interpret data, identify trends, and generate actionable insights
  • Ability to clearly communicate complex data findings to both technical and non-technical stakeholders.
  • Experience working in cross-functional teams and translating business needs into data-driven solutions.
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