(Agile1)Operations Data Analyst, Senior

Local candidates only. The role is hybrid with once a month onsite in OGO
TOP THINGS:
1) Coding skills (Python, SQL, etc.)
2) Experience developing ETL pipelines
3) Demonstrated communication skills.

Operations Data Analyst, Senior
Role Summary:
Analytics support for Client’s NPA and zonal electrification programs, an initiative focused on accelerating building electrification to avoid gas infrastructure investments and support long-term decarbonization goals.
Key Responsibilities:
• ETL Pipeline Creation: Develop and maintain an extract-transform-load data pipeline across multiple different core data environments to screen and prioritize electrification opportunities across Client’s system.
• New Data Sources: Provide recommendations to enhance data pipeline with new data sources and improved data processes.
• Process Automation: Create automated data routines and processes for reporting and data delivery, ensuring accurate data manipulation and data cleansing.
• Dashboards and Ad Hoc Analysis: Develop and communicate clear, concise, and actionable data analyses in the form of dashboards or ad hoc reports.
Education Minimum:
• BA/BS Degree in Computer Science, Engineering, or other related field or equivalent work experience
Minimum Experience:
• 4 years of related work experience
Knowledge, Skills, and Abilities (Desired):
• Advanced skill in Python (or similar programming languages) for data analysis and automation.
• Advanced skill in SQL and database query languages for extracting, transforming, and analyzing data from data environments.
• Advanced skill in designing and maintaining ETL processes for large datasets.
• Experience with data visualization and dashboarding tools.
• Experience in GIS preferred.
• Familiarity with utility operations.
• Able to analyze and interpret data and effectively communicate findings.

EEO:

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”