Have you been looking for a company that you can get behind and feel good about the impact it has on sustainability and recycling efforts? Quest is a full-service environmental consulting and management group supporting the efforts of Fortune 500 companies seeking to maximize profits and mitigate risks and minimize their ecological footprints. If you want an opportunity where your efforts make an impact, Quest has an opportunity for you. The ideal person must be able to multi-task, work independently and have strong attention to detail while being able to collaboratively communicate across departments. Why Work at Quest? First off, we practice what we preach. We focus every day on recycling, reusing and repurposing where we can, and being socially responsible. Second, we take care of our employees’ wellbeing and offer a comprehensive benefits package including: Medical/Dental/Vision, 401(k) Plan, Life and STD. Company paid Life, Short term disability plan (voluntary employee-paid LTD is offered) Eligibility for health and life insurance plans: 1st of month following date of hire Remote/hybrid work environment 401k plan with employer match Employee Stock Purchase Plan Paid Holidays, Vacation and Sick time Finally, we are just a modern, FUN and collaborative work environment. We’re a smaller company that provides opportunities for employees to advance within the company, so there is always room to grow. We offer a casual business environment (so, you can wear jeans), great incentives and rewards with a quarterly recognition program. ROLE SUMMARY The Data Quality Lead is responsible for overseeing data integrity across key systems and ensuring efficient, accurate, and compliant data processes. This role provides direction and support to the Data Quality Specialists and Analysts, ensuring adherence to established workflows, timely completion of exceptions, and continuous improvement of data quality operations. The Data Quality Lead acts as a bridge between the Data Quality team, management, and cross-functional partners to maintain the highest standards of data accuracy and process efficiency.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
51-100 employees