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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 competitive salary and the chance to work in a dynamic environment.
- Why this job: Make an impact on software security and quality while developing your skills.
- Qualifications: Degree in Computer Science or related field, or a strong willingness to learn.
- Other info: Full-time role with opportunities for growth in a supportive team.
The predicted salary is between 27500 - 30500 £ 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.
- 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.
- 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).
Pay Range: £27,500 GBP - £30,500 GBP
Black Duck considers all applicants for employment without regard to race, colour, religion, sex, gender preference, national origin, age, disability, or status as a Covered Veteran in accordance with federal law. In addition, Black Duck complies with applicable state and local laws prohibiting discrimination in employment in every jurisdiction in which it maintains facilities. Black Duck also provides reasonable accommodation to individuals with a disability in accordance with applicable laws.
Software Data Quality Analyst employer: Black Duck
Contact Detail:
Black Duck Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Data Quality Analyst
✨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 showcasing these skills can set you apart during discussions.
✨Tip Number 2
Network with current employees or professionals in the field through platforms like LinkedIn. Engaging in conversations about their experiences at Black Duck can provide valuable insights and potentially lead to referrals.
✨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 effectively.
✨Tip Number 4
Showcase your ability to communicate effectively by preparing questions for the interview that reflect your understanding of the role and the company. This not only shows your interest but also your proactive approach to collaboration.
We think you need these skills to ace Software Data Quality Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Software Data Quality Analyst position. Understand the key responsibilities and required skills, such as problem-solving techniques and effective communication.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your analytical skills, attention to detail, and any experience with scripting languages or SQL.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data quality and software security. Mention specific examples of how you've identified and resolved data quality issues in the past, and express your enthusiasm for working at Black Duck.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for the role.
How to prepare for a job interview at Black Duck
✨Showcase Your Analytical Skills
As a Software Data Quality Analyst, your analytical skills are crucial. Be prepared to discuss specific examples of how you've identified and resolved data quality issues in the past. Highlight your problem-solving techniques and how they led to successful outcomes.
✨Communicate Effectively
Effective communication is key in this role. Practice articulating your thoughts clearly and concisely. Be ready to explain complex technical concepts in simple terms, as you will need to collaborate with various stakeholders and teams.
✨Demonstrate Your Research Skills
The job requires a research-oriented approach to resolving issues. Prepare to discuss how you gather information and use it to solve problems. Share examples of how your initiative in research has led to improved data quality or process enhancements.
✨Familiarity with Tools and Technologies
Make sure you're familiar with the tools and technologies mentioned in the job description, such as SQL, scripting languages, and version control systems like Git. Be ready to discuss your experience with these tools and how you've used them in previous roles.
