Senior Operations Quality Analyst, Checkr
$78-98k
+ Equity compensation
2-3 days a week in office
Automated background checks
Be an early applicant
Automated background checks
1001+ employees
Be an early applicant
$78-98k
+ Equity compensation
2-3 days a week in office
1001+ employees
Company mission
To build a fairer future by designing technology to create opportunities for all.
Role
Who you are
- Educational Background: A bachelor's degree in analytics or a business-related field
- Experience: 3+ years of previous experience in a data analysis or insights role, preferably within a similar industry or environment, to ensure familiarity with relevant data types and business processes
- Analytical Skills: Strong proficiency in data analysis and statistical methods, with the ability to interpret complex data sets and derive actionable insights
- Communication Skills: Excellent written and verbal communication skills to effectively present data findings and recommendations to stakeholders at all levels
- Problem-Solving Abilities: Strong critical thinking and problem-solving skills to identify trends, anticipate challenges, and propose effective solutions
- Attention to Detail: High level of accuracy and attention to detail in data analysis and reporting
- Collaboration Skills: Ability to work collaboratively with cross-functional teams, including training, quality, and operations, to integrate insights into business processes
- Adaptability: Flexibility to adapt to changing business needs and priorities, and to continuously learn and apply new data analysis techniques and tools
What the job involves
- The Senior Operations Quality Analyst plays a central role on the Shared Services team at Checkr
- This strategic role focuses on pioneering a new era of customer interaction analysis through the power of AI and advanced Large Language Models (LLMs)
- We’re transforming our traditional quality assurance approach into a sophisticated insights engine
- This involves leveraging LLM technology to create a dynamic system for understanding and optimizing the customer experience
- Key responsibilities include developing a robust composite quality scoring framework, implementing predictive analytics for real-time customer satisfaction insights, and driving continuous improvements through data-driven feedback loops
- This role plays a critical part in ensuring the transparency and integrity of our AI-driven processes while collaborating with various teams to enhance agent performance, streamline workflows, and provide insights on how we listen and learn
- Data Analysis and LLM Utilization: Analyze complex data sets, including those from LLMs, to identify trends and opportunities for improvement
- Leverage these insights to drive business improvements, foster innovation, and inform strategic decisions that optimize performance
- Reporting and Communication: Develop and maintain clear, concise reports and dashboards that communicate findings and recommendations to stakeholders, facilitating data-driven decision-making
- Prompt Engineering: Oversee the configuration and optimization of Large Language Models (LLMs) within our quality assurance tools, focusing on prompt engineering to ensure outputs remain aligned with organizational objectives and prevent drift
- Collaboration with Cross-Functional Teams: Work closely with the Insights and Analytics, Training, and Quality teams to integrate insights into business processes, aligning with organizational goals and enhancing service quality
- Continuous Improvement and Innovation: Stay updated on the latest data analysis techniques and tools, particularly in LLMs and NLP, to continuously improve the quality and relevance of insights
Our take
Checkr addresses the unpleasant and time consuming process of background checks so that companies using on-demand employees can make safer, more informed hiring decisions in less time. Background checks are a critical part of the hiring process, and CEO Daniel Yannisse noticed that they were painfully slow, resulting in loss of work for candidates and productivity downturns for employers.
Before Checkr entered the market in 2014 with its innovative AI technology and a solid $50m in venture capital funding, companies were waiting upwards of two weeks for their checks. Checkr substantially reduces this time frame and has grown to receive a $5 billion valuation.
Checkr has accelerated growth by making several highly advantageous acquisitions of competitor companies GoodHire and Inflection. As the world of work embraces diversity and inclusion, the company announced an end-to-end service for candidates wishing to expunge their criminal records, furthering the company’s ‘fair chance’ mission and clearing 1000s of candidates for free since 2021. New products launched at the end of 2023 include Checkr Pay (providing access to payment right after a shift) and Checkr Onboard (unified onboarding processes), exemplifying how Checkr is keeping pace with a rapidly changing, flexible, and mobile-first workforce.
Freddie
Company Specialist at Welcome to the Jungle
Insights
18% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Sep 2021
$250m
SERIES E
Sep 2019
$160m
SERIES D
Total funding: $554.1m
Company benefits
- Parental leave
- Stock optoins
- Work from home opportunities
- Comprehensive Health Plans | We cover 100% of insurance premiums and offer generous parental and family leave
- Competitive Compensation | We offer competitive salaries and meaningful equity
- A Variety of Food and Snacks | Our culinary team serves a rotating menu for lunch each day, along with unlimited snacks and drinks
- Wellness Programs | We invest in the holistic well-being of every team member through education reimbursements, onsite massages, and physical therapy
- Flexible Paid Time Off | We want you to take the time you need to relax and recharge
- Fitness and Public Transport Reimbursement | We’ll cover your commute and help you stay active with our onsite gym or fitness provider of choice
Company HQ
Financial District, San Francisco, CA
Leadership
Jonathan Perichon
(CTO)After an MSc in Computer Science, Jonathan worked as a Software Engineer at Mogreet and deliv for a combined year and a half. He co-founded Checkr in May 2014, serving as CTO since.
Daniel Yanisse
(CEO)Daniel worked as a Software Engineer at Mogreet and Deliv before co-founding Checkr.
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