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Quality Data Analyst

About Us

Spellman High Voltage Electronics Corporation, a family owned business for over 75 years, takes pride in powering progress in health, security and quality of life. We are key partners with the world’s leading medical devices, semiconductor, scientific analytics and industrial systems manufacturers. When they want to push the limits of what’s possible with high voltage applications, they turn to us to make it happen.

While Spellman is not a household name, our products are used to make and often power many of the most advanced technologies that make modern life possible. With design and manufacturing sites in North America, Europe and Asia, we have become the preferred provider of high voltage power solutions for OEMs pushing the boundaries of technology around the world by designing and producing the products they need to power progress.

About the Job:

Data Analysts must work with cross-functional teams to develop a collection method for pertinent data. Once data is collected, the Analyst must vet it to ensure its accuracy and consistency. The Analyst is expected to review the data and present it in a form that allows for a summarized review to make data-driven business decisions. The Analyst needs to be able to map the source of the data and develop a plan to monitor data to ensure integrity long-term where applicable

The Data Analyst position reports to Operations but will often be engaged with other departments and cross-functional teams as data is needed for continuous improvement and operation excellence.
 

What You Will Do:

  • Analyze data and translate it into meaningful information, review for outliers and/or other erroneous datapoints and present findings.
  • Vet data and extrapolate data pattens and trends
  • Monitor and maintain data integrity within Glovia to ensure commonality across international sites
  • Develop rules and methodologies for effective data management within Glovia
  • Present concise consistent data and actionable conclusions in easily understood charts, graphs, or spreadsheets.
  • Answer questions concerning results
  • Document existing data development & collection processes
  • Develop, articulate, and implement new ideas and systems that will streamline and simplify data collection and dissemination of information.
  • Develop a global data management and analysis plan to ensure data collection and reporting is standardized and consistent across sited allowing management to strategically drive issues to closure and promote continuous improvement.
     

What You Need:

  • Minimum two years in data collection & analysis
  • Minimum two years’ experience in MS Outlook, Word, Excel, Projects
  • Ability to work with a cross-functional team through Lean projects
  • BS in science field or equivalent with training in statistical analysis and data mining
  • Experience in sorting and analyzing field data
  • Strong skills in the use of MS Excel (X-lookup, If-Then, Pivot tables) and other data analysis tools
  • Ability to process information logically
  • Verbal and written communication skills, including the ability to clearly communicate data limitations and deadlines, as well as present findings to management and colleagues
  • Ability to thrive in a fast paced, fluid, and technical organization
  • Ability to balance competing priorities and concurrent projects
  • PowerBi skills & bilingual in Spanish a plus.
  • 20% travel to LI, NY and 5% travel to Matamoros, MX
     

Our good faith estimate of the salary range for this role is $59,764 - $76,259. Exact compensation may vary based on skills, experience, and other factors. In addition to base pay, we offer a full benefits package. This position offers remote work model.

#LI-Remote

We at Spellman High Voltage Electronics Corporation believe that each individual is entitled to equal employment opportunities without regard to race, color, creed, gender, sexual orientation, gender identity, marital status, national origin, age, veteran status or disability. The right of equal employment opportunity extends to recruiting, hiring selection, transfer, promotion, training and all other conditions of employment. To request accommodation related to disabilities, please email us at careers@spellmanhv.com, or call +1 (631) 630-3000

Note to Recruiters and Placement Agencies: Spellman High Voltage Electronics does not accept unsolicited agency resumes. Please do not forward unsolicited agency resumes to our website or to any Spellman High Voltage Electronics employee. Spellman High Voltage Electronics will not pay fees to any third party agency or firm and will not be responsible for any agency fees associated with unsolicited resumes. Unsolicited resumes received will be considered property of Spellman High Voltage Electronics and will be processed accordingly.

Average salary estimate

$68011.5 / YEARLY (est.)
min
max
$59764K
$76259K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Quality Data Analyst, Spellman HV

At Spellman High Voltage Electronics Corporation, we're excited to offer the opportunity for a Quality Data Analyst to join our remote team. With over 75 years of heritage in providing high voltage solutions, we pride ourselves on powering advances in health, security, and quality of life. As a Quality Data Analyst, you'll work closely with cross-functional teams and will take the lead in developing methods for data collection that ensures accuracy and consistency in reporting. Your analytical skills will be essential as you examine and present data findings that drive impactful business decisions. At Spellman, your role won't just be confined to numbers; you'll actively contribute to developing a global data management strategy that promotes operational excellence. This position requires someone with a knack for identifying data trends, creating informative visual representations, and communicating your findings clearly to various teams. We're looking for someone with at least two years of data analysis experience and proficiency in tools like MS Excel and Power BI. If you're enthusiastic about using your skills to impact innovation across the globe, then Spellman High Voltage is the right place for you. Join us and help us empower technology worldwide. We can’t wait to meet you!

Frequently Asked Questions (FAQs) for Quality Data Analyst Role at Spellman HV
What are the primary responsibilities of a Quality Data Analyst at Spellman High Voltage?

As a Quality Data Analyst at Spellman High Voltage Electronics Corporation, you'll be responsible for analyzing data to find meaningful insights, vetting the data for accuracy, and presenting your findings in an understandable format. You will engage with multiple teams, ensuring data integrity across various international sites and creating rules for effective data management. Additionally, you'll implement new ideas to streamline data collection, ensuring that all processes align with our goal of continuous improvement.

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What qualifications are needed for the Quality Data Analyst position at Spellman High Voltage?

To be a suitable candidate for the Quality Data Analyst position at Spellman High Voltage Electronics Corporation, you should have a minimum of two years of experience in data collection and analysis, along with proficiency in MS Office, particularly MS Excel. A Bachelor’s degree in a relevant science field is preferred, with training in statistical analysis essential. Additional skills in Power BI and bilingual abilities in Spanish can be advantageous.

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How does collaboration work for a Quality Data Analyst at Spellman High Voltage?

Collaboration is central to the Quality Data Analyst role at Spellman High Voltage Electronics Corporation. You'll work with cross-functional teams to gather necessary data, present findings, and develop data management strategies. This cross-departmental interaction ensures that every aspect of our processes is optimized and that data-driven decisions reflect the needs and goals of various departments.

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What types of data is a Quality Data Analyst expected to work with at Spellman High Voltage?

As a Quality Data Analyst at Spellman High Voltage Electronics Corporation, you will handle various types of data related to our operations, which can include performance metrics, product quality statistics, and customer feedback. The role involves sorting and analyzing field data to identify patterns and trends that contribute to our overall business strategy.

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What is the expected salary range for a Quality Data Analyst at Spellman High Voltage?

The salary range for a Quality Data Analyst at Spellman High Voltage Electronics Corporation is estimated to range between $59,764 and $76,259, depending on experience, skills, and other factors. In addition to competitive pay, we offer a full benefits package that supports our employees’ well-being and professional growth.

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Common Interview Questions for Quality Data Analyst
Can you describe your experience with data analysis tools relevant to this role?

In answering this question, focus on specific tools such as MS Excel, Power BI, or any statistical analysis software you've used. Highlight specific projects where you utilized these tools, emphasizing your ability to analyze complex data sets and report findings effectively.

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How do you ensure data accuracy and consistency in your analysis?

Discuss your methods for vetting data, such as cross-referencing with other data sources or implementing checks for data integrity. Provide examples of how you've maintained data quality in previous roles, conveying your commitment to delivering accurate information.

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Describe a time when you identified a significant trend in data. What was the impact?

Share a specific instance where your analysis led to actionable insights. Explain the data you analyzed, the trend you discovered, and how it influenced business decisions or strategies. This showcases your analytical skills and the importance of your role.

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How do you approach presenting complex data to non-technical stakeholders?

When presenting to non-technical stakeholders, focus on clarity and accessibility. Mention your use of visual aids like charts and graphs, and provide examples of how you simplify technical concepts to ensure comprehensive understanding and engagement from all parties.

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What experience do you have with cross-functional teams?

Detail your experiences collaborating with various departments—like marketing, operations, or product development. Provide examples that illustrate your ability to communicate effectively and navigate different team dynamics to achieve common goals.

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What methods do you use to monitor data integrity over time?

Explain your systematic approach to data monitoring, including any software or processes you’ve implemented to routinely check for data discrepancies or issues. Mention how establishing clear protocols contributes to long-term data reliability.

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What techniques do you use to analyze and extrapolate data patterns?

Discuss the statistical methods you employ, as well as any software tools you utilize. Highlight your logical processing abilities and how you interpret data to identify meaningful trends that can inform decisions.

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How do you prioritize competing projects in a fast-paced environment?

Talk about your time management and organizational skills, mentioning specific strategies you've utilized, such as creating task lists or utilizing project management tools. Provide a situation where you balanced multiple priorities successfully.

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What role does communication play in effective data analysis?

Emphasize the importance of clear communication in conveying data findings to colleagues and stakeholders. Discuss how you tailor your communication style to your audience, ensuring that insights are understandably articulated.

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What has been your biggest challenge in data analysis, and how did you overcome it?

Share a specific challenge you've faced, detailing the context, your analysis process, and the solution you implemented. This illustrates your problem-solving skills and capability to navigate obstacles in the analytical aspect of your role.

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EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
April 11, 2025

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