Senior Data Analyst
Job Location: US (Remote)
Job Term: FullTime
The Opportunity
Picarro is transforming gas utility operations with innovative solutions for methane emissions management riskinformed leak prioritization and pipeline asset optimization. As a Senior Data Analyst in Picarros Gas Business Unit you will play a critical role in developing analytical tools generating insights from complex datasets and driving operational improvements.
Reporting to the Sr. Director of Climate and Safety Solutions you will collaborate with crossfunctional teams to perform analysis develop statistical models streamline data workflows and create actionable outputs that support internal decision making and customer outcomes.
This position is flexible within the United States with a preference for candidates based near Santa Clara CA (corporate headquarters) or Raleigh NC.
Roles and Responsibilities
Data Analysis and Insights Analyze largescale sensor data operational metrics and geospatial data to identify trends anomalies and actionable opportunities.
Statistical Modeling Develop and refine statistical models and algorithms to support emissions quantification risk prioritization and other operational applications.
Workflow Optimization Build repeatable processes for cleaning normalizing and visualizing datasets to ensure accuracy and scalability.
Collaboration Work closely with product management engineering and customer success teams to deliver datadriven insights and tools that support strategic initiatives.
Documentation and Reporting Create clear documentation of methodologies findings and recommendations for both technical and nontechnical stakeholders.
Support for Customer Outcomes Provide analytical deliverables and visualizations that align with customer goals either through internal teams or direct customer engagement when required.
Skills and Abilities
- Statistical and Analytical Expertise Strong foundation in statistics including experience with hypothesis testing regression analysis and uncertainty quantification.
- Technical Proficiency Advanced skills in Python SQL and Excel for data analysis and automation.
- GIS Proficiency Experience with GIS tools (e.g. ESRI ArcGIS QGIS) for spatial data management analysis and visualization is strongly preferred.
- Communication Ability to distill complex analyses into clear actionable insights for technical and nontechnical audiences.
- ProblemSolving A proactive approach to tackling challenges in data quality modeling and process improvement.
- CustomerCentric Approach A mindset focused on delivering highvalue outcomes to customers whether directly or through collaboration with internal teams.
Qualifications
- Bachelors or Masters degree in Data Science Statistics Computer Science or a related technical field.
- 5 years of experience in data analysis statistical modeling or related roles.
- Proven ability to work with large datasets including timeseries and geospatial data.
- Prior experience in the natural gas energy or infrastructure sectors is desirable.
- Strong documentation and presentation skills with the ability to explain technical concepts clearly.
- Ability to balance multiple priorities and deliver highquality work in a dynamic environment.
Our total compensation packages includes base salary bonus eligibility and equity.
Required Experience:
Senior IC