Technical Analyst I

Indeed•Remote,

6d•$69,000 - $144,000

About The Position

Execute assigned technical tasks and projects reliably while meeting individual and team SLAs. Triage and respond to technical requests from internal and external partners; investigate and escalate issues when needed. Analyze HTML/CSS structures and site layouts to support accurate and sustainable job data capture solutions. Support development and maintenance of lightweight automations, scripts, and internal tooling using technologies such as Python, JavaScript, SQL, and regex. Use data analysis to identify trends, workflow gaps, and operational improvement opportunities. Collaborate with subject matter experts, product teams, and engineering partners on solutions related to data aggregation, automation, and content quality. Maintain clear documentation, reproducible workflows, and organized technical artifacts to support scalable operations. Adapt to changing business and technical requirements while communicating risks, dependencies, and impacts proactively. Align daily work with operational goals while maintaining focus on employer and job seeker experience.

Requirements

Deliver high-quality execution on assigned scopes; manage time effectively to meet SLAs and deadlines.
Triage technical issues; document findings; create clear tickets/bugs with reproduction details as needed.
Maintain accurate, clear documentation (processes, SOPs, runbooks, code comments) and keep it current.
Support small automations, scripts, and data tasks with supervision; contribute to tooling improvements and workflow hygiene.
Collaborate cross-functionally; route issues to the right partners; share knowledge to raise team capability.
Use data analysis to identify patterns and inform actions; escalate recurring/systemic issues for deeper investigation.
Communicate updates, risks, and changes to ensure shared understanding of impacts and timelines.
Requires a minimum of 5 years of related experience; or Bachelor's degree and a minimum of 2 years of related experience; or an advanced degree without experience
Working knowledge of front-end concepts (HTML/CSS/JS) and/or a scripting language (e.g., Python); comfort with SQL fundamentals; solid understanding of CSS engine mechanics; ability to learn internal tools and ETL basics with guidance.
Excellent working knowledge of regular expressions (Regex) for text parsing, data validation, and pattern matching.
Structured thinking; uses data to inform decisions; conducts curiosity-driven root-cause exploration; contributes to scalable solutions with support.
Clear, professional communication with peers, leaders, and partners; engages the right partners; shares knowledge and receives feedback openly; understands the business impact of change and adapts to new tools, workflows, and business needs.
Follows structured processes and best practices; maintains documentation; meets SLAs; contributes to vendor quality checks as needed; surfaces risks and interdependencies with guidance.
Applies AI and automation thoughtfully to enhance end-user experiences and operationalize processes under guidance; prioritizes work that improves Jobseeker and Employer experiences and understands how work connects to broader business objectives.

Responsibilities

Execute assigned technical tasks and projects reliably while meeting individual and team SLAs.
Triage and respond to technical requests from internal and external partners; investigate and escalate issues when needed.
Analyze HTML/CSS structures and site layouts to support accurate and sustainable job data capture solutions.
Support development and maintenance of lightweight automations, scripts, and internal tooling using technologies such as Python, JavaScript, SQL, and regex.
Use data analysis to identify trends, workflow gaps, and operational improvement opportunities.
Collaborate with subject matter experts, product teams, and engineering partners on solutions related to data aggregation, automation, and content quality.
Maintain clear documentation, reproducible workflows, and organized technical artifacts to support scalable operations.
Adapt to changing business and technical requirements while communicating risks, dependencies, and impacts proactively.
Align daily work with operational goals while maintaining focus on employer and job seeker experience.