Technical Analyst I
Role Overview
The Technical Analyst I supports technical tasks, job data capture, automation, data analysis, and operational tooling.
Work includes collaboration with subject matter experts, product teams, engineering partners, and internal and external partners.
Key Skills for This Role
Full Job Posting
Role overview
The Technical Analyst I supports technical tasks, job data capture, automation, data analysis, and operational tooling.
Work includes collaboration with subject matter experts, product teams, engineering partners, and internal and external partners.
Day-to-day work and responsibilities
- Execute assigned tasks and projects reliably while meeting individual and team SLAs and deadlines.
- Triage technical requests and issues; investigate, document findings, create clear tickets with reproduction details, and escalate as needed.
- Analyze HTML/CSS structures and site layouts to support accurate and sustainable job data capture.
- Support lightweight automations, scripts, data tasks, tooling improvements, and workflow hygiene.
- Use data analysis to identify trends, workflow gaps, patterns, recurring issues, and operational improvements.
- Collaborate on data aggregation, automation, and content quality solutions; route issues to the right partners and share knowledge.
- Maintain current documentation, SOPs, runbooks, code comments, reproducible workflows, and organized technical artifacts.
- Communicate updates, risks, dependencies, changes, impacts, and timelines proactively.
- Contribute to vendor quality checks as needed and adapt to changing business and technical requirements.
Experience and qualifications
- Requires 5 years of related experience; or a bachelor's degree and 2 years of related experience; or an advanced degree without experience.
- Requires working knowledge of front-end concepts (HTML/CSS/JavaScript) and/or a scripting language such as Python, plus comfort with SQL fundamentals.
- Requires excellent working knowledge of regular expressions for text parsing, data validation, and pattern matching.
- Requires ability to learn internal tools and ETL basics with guidance.
Skills and competencies
- Uses structured thinking, data-informed decisions, and curiosity-driven root-cause exploration to contribute to scalable solutions with support.
- Communicates professionally, collaborates across teams, shares knowledge, receives feedback, and adapts to new tools and workflows.
- Follows structured processes and best practices, maintains documentation, meets SLAs, and surfaces risks and interdependencies with guidance.
- Applies AI and automation thoughtfully under guidance to improve end-user experiences and operationalize processes.
Salary range
- Annual salary ranges vary by US tier: Tier 1 $69,000–$103,000; Tier 2 $77,000–$115,000; Tier 3 $85,000–$127,000; Tier 4 not available; Tier 5 $96,000–$144,000.
- Offers are typically between the range minimum and midpoint; actual compensation depends on job-related skills, experience, expertise, and location.
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