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- Tasks: Identify and resolve software data quality issues while collaborating with teams.
- Company: Join Black Duck Software, a leader in application security and software quality.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and learning.
- Why this job: Be part of a team that values innovation and proactive problem-solving.
- Qualifications: Degree in a related field or a strong willingness to learn; analytical skills required.
- Other info: Experience with scripting languages and SQL is a plus; remote work options available.
The predicted salary is between 28800 - 48000 £ per year.
Black Duck Software, Inc. helps organizations build secure, high-quality software, minimizing risks while maximizing speed and productivity. Black Duck, a recognized pioneer in application security, provides SAST, SCA, and DAST solutions that enable teams to quickly find and fix vulnerabilities and defects in proprietary code, open source components, and application behaviour.
We are seeking a dedicated and detail-oriented Software Data Quality Analyst to join our team. The ideal candidate will be responsible for identifying and resolving software data quality issues. This role requires a proactive approach to maintaining data accuracy and quality standards, effective communication with stakeholders, and collaboration with other teams and senior engineers.
Responsibilities:
- Identify and resolve software data quality issues.
- Utilize problem-solving techniques to address data quality issues.
- Maintain a research-oriented approach to resolving issues.
- Ensure effective communication throughout various processes.
- Proactively maintain and ensure data accuracy according to data quality standards.
- Perform software composition analysis scanning for specific issue replication.
- Utilize internal tools and develop scripts to create tooling.
- Collaborate cross-functionally with other teams and senior engineers to resolve issues.
Skills and Experience:
- Degree in Computer Science, Data Science, Information Systems / related field or proven willingness to learn.
- Ability to work independently and as part of a team.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to manage multiple tasks and deadlines.
- Strong research posture and initiative to find and use information to solve problems or answer questions.
- Exceptional attention to detail.
- Recognize when to escalate problems to other teams.
- Familiarity with version control and source control systems (e.g., Git).
- Ability to prioritize multiple issues based on urgency and impact.
- Experience with process documentation.
Desired Skills & Experience:
- Experience with scripting languages (Various: Python /Perl/Java/Ruby etc).
- Experience with SQL.
- Understanding of software security and vulnerability management.
- Knowledge of open-source software and licenses.
- Experience with issue tracking systems (e.g., Jira).
Software Data Quality Analyst Belfast employer: Black Duck Software, Inc.
Contact Detail:
Black Duck Software, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Data Quality Analyst Belfast
✨Tip Number 1
Familiarise yourself with the tools and technologies mentioned in the job description, such as SQL and scripting languages like Python or Java. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Network with current or former employees of Black Duck Software, Inc. on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during interviews.
✨Tip Number 3
Prepare to discuss specific examples of how you've identified and resolved data quality issues in past roles or projects. Being able to articulate your problem-solving process will demonstrate your analytical skills and proactive approach.
✨Tip Number 4
Showcase your ability to collaborate by preparing examples of cross-functional teamwork. Highlighting instances where you've worked with different teams or stakeholders to resolve issues will illustrate your communication skills and team-oriented mindset.
We think you need these skills to ace Software Data Quality Analyst Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Emphasise your analytical skills, problem-solving abilities, and any experience with scripting languages or data quality management.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about software data quality and how your background makes you a great fit for Black Duck Software. Mention specific experiences that demonstrate your attention to detail and communication skills.
Showcase Relevant Skills: When answering the application questions, specifically mention your experience with scripting languages like Python, Perl, Java, or Ruby. Provide examples of how you've used these skills in past roles to solve data quality issues.
Highlight Collaboration Experience: Since the role involves collaboration with other teams, include examples in your application that showcase your ability to work effectively in a team environment. Discuss any cross-functional projects you've been part of and your role in those.
How to prepare for a job interview at Black Duck Software, Inc.
✨Showcase Your Analytical Skills
As a Software Data Quality Analyst, you'll need strong analytical and problem-solving skills. Be prepared to discuss specific examples of how you've identified and resolved data quality issues in the past. Highlight your approach to problem-solving and any tools or techniques you used.
✨Demonstrate Effective Communication
Effective communication is key in this role, especially when collaborating with stakeholders and other teams. Practice articulating your thoughts clearly and concisely. You might be asked to explain complex technical concepts, so ensure you can do this in an understandable way.
✨Familiarise Yourself with Relevant Tools
Make sure you're familiar with the tools mentioned in the job description, such as SQL, Git, and issue tracking systems like Jira. If you have experience with scripting languages like Python or Perl, be ready to discuss how you've used them in previous projects.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your ability to handle real-world data quality issues. Think about potential challenges you might face in the role and how you would approach resolving them. This will demonstrate your proactive mindset and research-oriented approach.
