Data Analyst

Infravision•Austin, TX

15d

About The Position

The opportunity We are seeking a highly detail-oriented and organized Data Analyst to join our team. The successful candidate will initially support our CA project team and will be pivotal in ensuring the integrity and timely delivery of high-quality datasets derived primarily from Unmanned Aerial Vehicle (UAV) image collection. This role requires strong proficiency in data quality assurance, bulk image processing, and effective communication to report and track errors. About Infravision Infravision is transforming how the world builds and maintains power grids. With its proprietary aerial robotics system, the company enables utilities, contractors, and developers to expand transmission and distribution infrastructure faster, safer, with lower environmental and community impact, and at significantly reduced costs. Operating globally, Infravision is helping meet the urgent demand for reliable and resilient grid infrastructure. Why work for Infravision Build critical infrastructure at global scale. Join a team modernizing how power infrastructure is built—solving real-world constraints in speed, safety, and access across some of the most complex environments on Earth. Work on technology that’s actually deployed. Our systems are used in live projects with leading utilities, contractors, and developers worldwide. This is applied engineering, not theory. Competitive compensation and meaningful ownership. We offer a competitive salary, benefits, and equity participation so employees share directly in the value created as the company grows. High-caliber, collaborative team. Work alongside engineers, operators, and builders in a fast-moving, hands-on environment that values clarity, trust, and getting things done.

Requirements

Attention to Detail: Exceptional focus and precision are mandatory for conducting thorough data quality checks and processing complex imagery.
UAV Data Experience: Demonstrated familiarity with UAV (drone) data collection methods, geospatial data types, and image processing software/techniques.
Technical Proficiency: Fluency with Microsoft Office Suite (especially Excel for data manipulation and tracking) and comfort learning new specialized software tools quickly.
Communication Skills: Strong written and verbal communication skills are essential for effective error reporting, cross-functional collaboration, and presenting quality findings.
Adaptability: Proven ability to switch between tasks quickly and manage multiple priorities simultaneously in a fast-paced environment.

Nice To Haves

Growth-minded: Experienced in their speciality field but hungry for continuous learning and improvement
Industry-seasoned: has already spent time supporting the electric power / cleantech industries
Self-starter: willing to dig into new concepts, make recommendations with limited information, and be highly effective with minimal direction and supervision
Systems thinker: a love for efficiency, ensuring that processes work well together to streamline commercial operations
Focused: we are a small team with many competing priorities. To be effective in this role you need to be able to isolate where you can have the greatest impact and rigorously prioritize.
Willingness to travel: we operate throughout the United States, Canada, India and Australia and employees are required to travel from time to time.

Responsibilities

Bulk Image Processing: Manage and execute large-scale processing of raw imagery collected via UAS/UAV flights, ensuring all data is transformed into usable formats according to project specifications.
Data Quality Assurance (DQA): Perform rigorous and systematic data quality checks on processed imagery and resultant datasets, meticulously verifying accuracy, completeness, and adherence to defined standards.
Error Reporting and Tracking: Proactively identify, document, and track data anomalies and processing errors using internal reporting systems, collaborating with collection and engineering teams for timely resolution.
Dataset Delivery: Prepare, package, and deliver final, quality-assured datasets to internal and external stakeholders, ensuring documentation and metadata are complete.
Maintain accurate records of all processing steps, quality checks, and delivery timelines.
Contribute to the continuous improvement of data processing workflows and quality control procedures.