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Data Quality Specialist

As one of the world’s largest food-grade logistics companies, McLane Global relies on the efficiency of its fulfillment centers. We consider all our warehouses to be systematic and operate with a customer-centric mentality. To deliver on our promise to customers, we rely on exceptionally talented, bright, and committed people. We cultivate and embrace a diverse employee population. We recognize that people with diverse backgrounds, experiences and perspectives fuel our growth and enrich our global culture. As the Data Quality Specialist of McLane Global will ensure the accuracy, consistency, and completeness of data. You will focus on identifying and resolving data issues, develop and implement data quality standards, and manage data assets to maintain data integrity. 

Key Responsibilities

  • Exhibit strong written and verbal communication skills, meticulous attention to detail, high level of accuracy, logical thinking, professional ethics, and effective team interaction.
  • Interact with all parties involved in data setup and resolution, collaborating with sales and logistics teams to ensure seamless processes and error-free data.
  • Use automated tools to extract data from primary and secondary sources.
  • Scrub and clean data by removing corrupted entries and fixing coding errors and related issues.
  • Develop and maintain databases, reorganizing data into readable formats.
  • Perform analysis to assess the quality and meaning of data.
  • Filter data by reviewing reports and performance indicators to identify and correct problems.
  • Use statistical tools to identify, analyze, and interpret patterns and trends in complex data sets for diagnosis and prediction.
  • Assign numerical values to essential business functions to assess and compare business performance over time.
  • Analyze local, national, and global trends impacting the organization and industry.
  • Prepare reports for management, highlighting trends, patterns, and predictions using relevant data.
  • Train teams on data standards, privacy, and compliance.
  • Communicate effectively with cross-functional departments.
  • Map out and document work processes, creating SOPs.
  • Perform other tasks as required for business needs

  • Bachelor’s degree or equivalent years of experience.
  • Strong organization and time management skills
  • Advanced in Microsoft Office Excel
  • Preferred experience in Microsoft Dynamic platform (D365 Financial & Operations and Supply Chain)
  • Eager to learn with the ability to learn fast and retain information
  • Strong analytic and problem-solving skills
  • Ability to search databases and use critical thinking (SQL query)
  • Ability to complete work assignments in an accurate and timely manner and escalate issues as needed
  • Ability to identify and resolve data issues effectively. 
  • Ability to pay close attention to detail and identify minor inconsistencies. 
  • Adept at queries, writing reports, and making presentations
  • Verbal and Written communication skills
  • Proven working experience in data analysis
  • Competitive base compensation  
  • Full Benefits including Medical, Dental and Vision effective on the first day of employment
  • 401(k) with Employer Match (quarterly enrollment)
  • Paid Holidays (no waiting period to receive holiday pay)
  • Paid vacation, personal, and sick days effective on first day of employment
  • All offers are contingent upon passing a background check and drug screening  
  • No company visa sponsorships    
  • No phone call or walk in inquiries for this position, apply online to be considered  

Disclaimer  

Employees must be able to perform the essential functions of the position satisfactorily and if requested, reasonable accommodation will be provided to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.    

Furthermore, job descriptions typically change over time as requirements and employee skill levels change. The Employer retains the right to change or assign other duties to this position.  

 

Average salary estimate

$70000 / YEARLY (est.)
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$60000K
$80000K

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What You Should Know About Data Quality Specialist, Mclane Global

Are you ready to dive into the heart of data management with McLane Global as a Data Quality Specialist? In our thriving food-grade logistics company, we pride ourselves on running our fulfillment centers like a well-oiled machine, ensuring that every data point serves our customers perfectly. As a Data Quality Specialist, you'll play a pivotal role in safeguarding our data's accuracy, consistency, and completeness. Your keen eye for detail and strong analytical skills will come into play as you identify and resolve any data issues, develop robust data quality standards, and manage our valuable data assets. Collaborating closely with our sales and logistics teams, you'll ensure smooth processes and error-free information flow. You'll also have the chance to scrub and clean data, perform insightful analyses, and even prepare reports that illustrate trends and predictions for management. If you have a Bachelor’s degree or equivalent experience, advanced Excel skills, and a passion for problem-solving, we want to hear from you! Join us in fostering a diverse workplace culture where your unique background enriches our teams. With competitive compensation and full benefits from day one, McLane Global is where your career in data administration thrives.

Frequently Asked Questions (FAQs) for Data Quality Specialist Role at Mclane Global
What are the main responsibilities of a Data Quality Specialist at McLane Global?

As a Data Quality Specialist at McLane Global, your primary responsibilities will include ensuring data accuracy, consistency, and completeness. You’ll interact with various teams to resolve data issues, utilize automated tools for data extraction, and clean up data by correcting coding errors. You’ll also develop data quality standards, prepare insightful reports for management, and provide training on data privacy and compliance.

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What qualifications do I need to become a Data Quality Specialist at McLane Global?

To qualify for the Data Quality Specialist position at McLane Global, you should have a Bachelor’s degree or equivalent experience. Strong organization, advanced Microsoft Excel skills, and a keen attention to detail are essential. Experience with Microsoft Dynamics (D365) and SQL query skills will enhance your candidacy, as will your ability to analyze data and identify potential issues consistently.

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How does McLane Global support its employees in professional development as Data Quality Specialists?

At McLane Global, we value employee development and provide numerous opportunities for growth. As a Data Quality Specialist, you’ll receive ongoing training on data standards and tools. Additionally, we encourage continuous learning through workshops and conferences that help you stay updated with industry trends and enhance your skills further.

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What tools will I use as a Data Quality Specialist at McLane Global?

In your role as a Data Quality Specialist at McLane Global, you will work with a variety of automated tools for data extraction and management. Proficiency in Microsoft Excel is crucial, and familiarity with SQL for database queries is beneficial. You will also learn to use Microsoft Dynamics (D365) for finance and supply chain functions to assist in data maintenance and analysis.

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What is the work environment like for a Data Quality Specialist at McLane Global?

The work environment for a Data Quality Specialist at McLane Global is collaborative and dynamic. You will interact regularly with cross-functional teams, including sales and logistics, to ensure smooth operations. Our company is dedicated to fostering a diverse culture, and you'll find a supportive atmosphere that encourages communication, creativity, and problem-solving, making it an exciting place to work.

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Common Interview Questions for Data Quality Specialist
How do you ensure data accuracy in your previous roles?

In my previous roles, I ensured data accuracy by implementing strict data quality checks and utilizing automated tools for scrubbing and validating data. I would consistently conduct audits and cross-reference data against reliable sources, creating processes that reduced discrepancies.

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Can you explain a situation where you resolved a major data issue?

In one of my previous positions, I encountered significant discrepancies in our sales data. I conducted a detailed analysis to identify the root cause, collaborated with the sales team to rectify input errors, and adjusted our reporting processes to prevent future occurrences.

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What approach do you take to communicate data trends to non-technical team members?

I focus on simplifying complex data into relatable insights. I use visual aids like graphs and charts to illustrate trends and ensure that I present the information in a clear, straightforward manner so that non-technical team members can understand and apply the insights.

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What tools or software do you use for data management?

I typically use Microsoft Excel for data analysis and reporting, along with SQL for querying databases. I also have experience with data visualization tools like Power BI to present data patterns more effectively.

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Describe your experience with data quality standards.

I have developed and maintained data quality standards in my past roles, focusing on accuracy, completeness, and reliability. I implemented training sessions for teams, educated staff on these standards, and continuously monitored compliance to ensure that our data remained high-quality.

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How do you prioritize your tasks when managing large volumes of data?

I prioritize my tasks by assessing the urgency and impact of the data issues at hand. I utilize project management tools to keep track of deadlines and set daily goals based on the complexity and volume of the data I am handling.

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How do you approach learning new data management tools?

I adopt a proactive approach to learning new tools by dedicating time to exploring their features through tutorials, practice environments, and community forums. I believe hands-on experience is essential, so I test functionalities while applying them to real-world data scenarios.

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What metrics do you consider important when assessing data quality?

Key metrics I consider important in assessing data quality include accuracy, completeness, consistency, timeliness, and uniqueness. Evaluating these metrics helps me identify areas for improvement and maintain high data standards.

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How do you stay updated with data management best practices?

I stay updated by following industry-leading blogs, participating in webinars, and engaging with online communities related to data management. I also attend relevant workshops and conferences to network and learn from other experts in the field.

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Can you provide an example of how you've utilized statistical analysis in your work?

I used statistical analysis in a project where we needed to identify patterns in customer behavior data. By applying regression analysis, I could predict future purchasing trends and help the marketing team target our campaigns effectively.

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McLane Global’s vast international network and domestic buying power has permitted us to become one of the premier exporters of American Brands. We are one of the largest exporters of American branded foods Including Lady Liberty Foods. This, co...

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Full-time, remote
DATE POSTED
April 19, 2025

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