Senior Data Analyst
Picarro is transforming gas utility operations with innovative solutions for methane emissions management, risk-informed leak prioritization, and pipeline asset optimization.
As a Data Analyst in Picarro's Gas Business Unit, you will play a critical role in developing analytical tools, generating insights from complex datasets, and driving operational improvements.
Key Responsibilities
* Data Processing and ETL Development: Build and optimize automation tools and ETL pipelines for cleaning, normalizing, and structuring large-scale sensor and operational data.
* Analysis and Insights: Conduct data analysis on time-series, sensor, and geospatial datasets to identify trends, anomalies, and operational improvements.
* Collaboration: Work with product management, engineering, and customer success teams to ensure data workflows meet business needs.
* Automation: Develop scripts and processes in Python and SQL to improve data ingestion, processing, and reporting.
* Documentation and Reporting: Maintain clear documentation of methodologies, workflows, and results to support internal teams and customers.
* Customer Support: Assist in generating analytical deliverables and visualizations to support customer projects and business objectives.
Required Skills and Abilities
* Technical Proficiency: Strong Python and SQL skills for data automation and analysis.
* Statistical and Analytical Skills: Solid foundation in statistics, including hypothesis testing and uncertainty quantification.
* Data Engineering Exposure: Experience with ETL, data cleaning, and automation techniques.
* GIS (Preferred but Not Required): Familiarity with GIS tools (e.g., ESRI ArcGIS, QGIS) for geospatial analysis is a plus.
* Communication: Ability to translate technical findings into actionable insights for both technical and non-technical audiences.
* Problem-Solving: Proactive approach to improving data processes and solving data quality challenges.
Qualifications
* Bachelor's or Master's/Ph.D. in Data Science, Statistics, Computer Science, or a related field.
* Experience in Python, SQL, and data automation workflows.
* Exposure to geospatial, time-series, or measurement data.
* Industry experience in natural gas, utilities, or infrastructure is a plus.
* Experience with ETL development, reporting automation, or cloud-based data processing is preferred.