Technical Business Analyst
Employment Info
JOB SUMMARY
Requirements
- Strong communication skills to explain technical data requirements to non-technical people, give constructive feedback, and manage expectations with confidence.
- A proactive and self-directed approach, including identifying what needs to be done and driving it to completion without close supervision.
- Experience using structured query language to analyse, validate, and wrangle messy datasets.
- Experience in customer-facing or consulting-style technical roles with external stakeholder management.
- Comfort with ambiguity when working with inconsistent and varied customer data environments without an established playbook.
- Ability to manage personal time and priorities across multiple concurrent customer engagements.
- At least three years of professional experience in technical business analysis, data engineering, data analysis, technical consulting, or a similar role involving both technical and stakeholder-facing work.
Responsibilities
- Work directly with utility customers to explain the data required by Gridsight, the required format, and how to provide it.
- Review incoming customer data against expected schemas and quality standards, and provide clear and constructive feedback on issues.
- Onboard customer data into the platform using the available tooling and workflows.
- Identify and act on opportunities to improve internal tooling, automate manual steps, improve validation, and make data onboarding more efficient, high quality, and repeatable.
- Drive customer data deliveries to completion by following up, unblocking issues, and maintaining momentum through the implementation process.
- Manage complex customer situations involving unrealistic timelines, incomplete data, shifting priorities, and competing demands.
- Identify and act on opportunities to automate manual steps, improve tooling, and make the data onboarding process more efficient and repeatable.
Desired Qualifications
- A track record of improving processes by automating manual work, building internal tools, or introducing better ways of working.
- Experience with dbt or similar extract, load, transform frameworks and exposure to data pipelines.
- Expertise in leveraging artificial-intelligence-assisted development tooling.
- Experience in energy, utilities, or infrastructure domains.
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