Key Responsibilities and Required Skills for Job Quality Analyst

🎯 Role Definition

As a Job Quality Analyst, you are the guardian of our job marketplace's integrity. You will be at the forefront of ensuring that every job seeker's experience is safe, relevant, and valuable. This pivotal role combines deep analytical investigation with proactive policy enforcement and cross-functional collaboration to maintain a high-quality, trusted platform. You'll dive into data to uncover sophisticated abuse vectors, refine our detection systems, and directly impact the health and growth of our ecosystem by ensuring the jobs on our platform meet the highest standards of legitimacy and clarity.

📈 Career Progression

Typical Career Path

Entry Point From:

Customer Support Specialist / Escalations Specialist
Data Entry Clerk / Junior Data Analyst
Content Moderator / Content Reviewer

Advancement To:

Senior Job Quality Analyst / Team Lead
Product Manager (Trust & Safety or Marketplace)
Operations Manager / Quality Program Manager

Lateral Moves:

Data Analyst / Business Intelligence Analyst
Trust & Safety Analyst
Fraud Analyst

Core Responsibilities

Primary Functions

Proactively monitor and analyze the health of the job marketplace, identifying and investigating trends, patterns, and emerging threats related to fraudulent, low-quality, or non-compliant job postings.
Develop, refine, and enforce comprehensive content policies and quality standards to ensure a positive and safe user experience for all job seekers.
Conduct in-depth root cause analysis on quality escalations and incidents, meticulously documenting findings and recommending robust preventative measures to mitigate future risk.
Utilize SQL and other data analysis tools to query large, complex datasets, build insightful dashboards, and track key performance indicators (KPIs) related to job quality, spam detection, and user trust.
Collaborate closely with Product and Engineering teams to define requirements for, test, and improve automated moderation tools, machine learning models, and internal review systems.
Manage and resolve a queue of complex, escalated cases of policy violations, requiring nuanced judgment and a deep, consistent application of our guidelines.
Audit and evaluate the quality of job content from various sources, including direct employers, third-party aggregators, and XML feeds, providing actionable feedback to partners and account managers.
Create and maintain detailed documentation of operational procedures, quality guidelines, and policy rationale to ensure consistency and scalability of the quality team's efforts.
Spearhead investigations into sophisticated spam and scam networks, using data analysis and open-source intelligence to uncover bad actors and protect the platform.
Perform regular quality assurance checks on our search results and recommendation algorithms to ensure relevance and accuracy for job seekers.
Design and execute A/B tests or experiments to measure the impact of policy changes or new product features on marketplace quality and user behavior.
Serve as a subject matter expert on job quality and content policy, providing training and support to internal teams such as Customer Support, Sales, and Account Management.
Analyze user feedback, support tickets, and social media mentions to identify systemic quality issues and areas for improvement in our products and policies.
Prepare and present regular reports and business reviews on marketplace health and quality initiatives to leadership and key stakeholders.

Secondary Functions

Support ad-hoc data requests and exploratory data analysis to assist various departments in understanding quality-related trends.
Contribute to the organization's broader trust and safety strategy and policy development roadmap.
Collaborate with business units to translate data and quality needs into actionable engineering and product requirements.
Participate in sprint planning, retrospectives, and other agile ceremonies within the data and operations teams.
Stay abreast of industry trends, competitor policies, and new fraud tactics to continuously evolve our quality strategy.
Assist in the calibration and training of human review teams to ensure high levels of accuracy and consistency in moderation decisions.

Required Skills & Competencies

Hard Skills (Technical)

SQL Proficiency: Strong ability to write complex queries for data extraction, manipulation, and analysis from relational databases (e.g., MySQL, PostgreSQL, BigQuery).
Advanced Spreadsheets: Expertise in Microsoft Excel or Google Sheets, including pivot tables, advanced formulas, VLOOKUP/INDEX-MATCH, and data-cleaning functions.
Data Visualization: Experience with data visualization tools (e.g., Tableau, Power BI, Looker, or similar) to create insightful reports and dashboards that track key metrics.
Scripting Language (Preferred): Basic to intermediate knowledge of a scripting language like Python (with Pandas) or R for data analysis and automation is a significant plus.
Regular Expressions (Regex): Ability to write and understand regular expressions for pattern matching and text parsing in job content.
CRM/Ticketing Systems: Familiarity with tools like Salesforce, Zendesk, or JIRA for managing cases and tracking project progress.

Soft Skills

Analytical & Investigative Mindset: A natural curiosity and a passion for solving complex puzzles, connecting dots, and uncovering hidden patterns in data.
Meticulous Attention to Detail: An unwavering commitment to accuracy and precision, especially when dealing with large datasets and nuanced policy decisions.
Critical Thinking & Problem-Solving: The ability to dissect complex problems, evaluate information from multiple sources, and develop logical, effective solutions.
Exceptional Communication: Excellent written and verbal communication skills to clearly articulate complex issues, policy rationale, and data findings to both technical and non-technical audiences.
Stakeholder Collaboration: Proven ability to work effectively with cross-functional teams, including Engineering, Product, Legal, and Customer Support, to drive initiatives forward.
Resilience and Adaptability: The capacity to thrive in a fast-paced environment, manage ambiguity, and adapt to evolving threats and priorities.

Education & Experience

Educational Background

Minimum Education:

Bachelor's Degree or equivalent practical experience in a related field.

Preferred Education:

Bachelor’s or Master’s Degree in a quantitative or analytical discipline.

Relevant Fields of Study:

Business Administration or Economics
Statistics or Mathematics
Computer Science or Information Systems
Communications or Journalism

Experience Requirements

Typical Experience Range: 2-5 years in a role involving data analysis, content moderation, trust and safety, or online marketplace operations.

Preferred:

Prior experience as a Quality Analyst, Trust & Safety Analyst, or Fraud Analyst, particularly within a tech company, online marketplace, or job board.
Demonstrated experience using SQL to inform business decisions and drive operational improvements.