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Data QA Specialist

About Q4

At Q4, we make an impact together, obsess over our customer, operate with integrity, and bring big ideas to life. 


Q4 is charting a bold new path for investor relations as the first AI-driven IR Ops Platform, providing everything an IR team needs to succeed on a single, powerful platform. The Q4 Platform enables public companies to attract, manage, and understand investors - all in one place. Over 2,600 customers, including many of the most respected brands in the world, trust Q4 to help drive premium valuations for their companies. Only Q4 offers a tech stack holistically designed to equip IR teams with data, insights, and smart workflows that power remarkable outcomes. Learn more at q4inc.com.


We hire smart, curious, and talented people to push boundaries, reimagine what’s possible, and turn challenges into opportunities. All while keeping the needs of our clients at the heart of everything we do.


Come grow with us!


Leading the data quality control effort and enhancing quality assurance throughout the software development life cycle. Provide data governance, data quality leadership and guidance to the team. This role is an advocate and driver of Product build quality and measurements in the Development team. 


Responsibilities:
  • Work with business owners and data engineers to understand metadata about systems, processes, reports, controls, data movement, and business terminology.
  • Contribute to agile story refinement/defining requirements.
  • Analyze data for compliance to design specification (source-to-target) and expected/anticipated behaviors, identifying quality issues.
  • Perform root cause analysis on data issues and recommend data quality controls to resolve gaps/issues.
  • Actively communicate to stakeholders quality issues about the way data is collected, stored, processed, or used.
  • Perform audits, as required, to ensure quality processes exist and are being adhered to.
  • Communicate the pervasiveness of data quality problems and their potential impacts and take the lead in resolving them via data integration and/or business process improvement.
  • Investigate, troubleshoot, and document data issues.
  • Assist other teams in the design of quality checks, to ensure data quality objectives are met, as well as participate in cross-functional teams and development/improvement task forces.
  • Build, update and maintain dashboards that report on key business and data quality metrics.


Tasks:
  • Create, maintain and execute tests targeting data completeness and integrity using sql/scripts.
  • Participate in all relevant sprint rituals. You will be the primary QA contact at the squad level.
  • Conduct regular sync ups with Development Lead, and Product Owners.
  • Maintain all test suites/relevant documentation for the Products.
  • Regularly provide metrics on quality for sprints and overall Product, and drive collaborated actions towards further quality improvements.
  • Provide reporting on defects/bugs found during sprint and measurements against metrics such as velocity/stories to the team and manager, and facilitate/drive sprint retro discussions on analyzing and improving sprint delivery quality.
  • Undertake any other reasonable task that may be asked of you by your supervisor or senior management.
  • Participate and drive the addressing and resolving of SUPIN issues and RCA exercises. 


Requirements:
  • 5+ years of experience in developing complex data quality audits using SQL, analyzing abstract data, and summarizing and presenting findings.
  • 3+ years in quality assurance role for software development.
  • Strong knowledge of data exploration & analysis tools.
  • Strong understanding of Agile development and CI/CD.
  • Strong understanding of Quality Assurance testing methodology and processes.
  • Strong understanding of automated testing practice in an Agile environment.
  • Experience using bug tracking and test case management tools (JIRA, TestRail).
  • Experience using various automation tools to help streamline testing (Preference: Python) .
  • Proactive in analyzing and identifying areas to improve Product quality.
  • Able to ensure best quality practices, effective approach, and latest tools for quality assurance.
  • Comfortable working in a fast-paced environment.
  • Experience working on an agile product team.
  • Strong written and oral communicator.
  • Committed to continuous growth through learning.


Why Q4?

We are motivated by solving complex problems in unorthodox ways.  Emphasis on your well-being means you experience your true potential.  We offer a variety of benefits to ensure you can always work hard and have fun:

- Health, wellness & lifestyle benefits to balance your heart, mind, and body;   

- Pension matching incentives to support your financial health;

- Flexible paid time off so you can truly recharge and enjoy life;

- Choose your home, one of our trendy offices, or mix it up with our flexible working environment;

- Virtual team building and socials, keeping people connected is important to us; and 

- A fantastic culture to top it all off!

 

Join #Q4orce

Q4’s diverse and inclusive workplace fosters a friendly, open-minded environment. Diversity makes us stronger from the increased pace of innovation to strengthening our culture. With great reasons to work here, take advantage by submitting your application to join our growing team.

 

Q4 values diversity and people of all backgrounds and abilities.  Should you require any accommodations prior to or during the interview process, please contact hr@q4inc.com.

#LI-Remote #q4orce

Average salary estimate

$90000 / YEARLY (est.)
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$80000K
$100000K

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What You Should Know About Data QA Specialist, Q4

Are you ready to dive into the world of data quality at Q4? As a Data QA Specialist in Toronto, you'll play a pivotal role in ensuring our data integrity and quality throughout the software development life cycle. At Q4, we're not just about numbers; we're about making a significant impact with our cutting-edge AI-driven IR Ops Platform, which empowers over 2,600 companies worldwide. You'll collaborate closely with business owners and data engineers to understand systems, processes, and terminology that drive our innovative platform. Your days will be filled with analyzing data for compliance, performing root cause analyses on quality issues, and communicating with stakeholders about data integrity challenges. You're not just a QA Specialist; you're a quality advocate in our agile teams, actively participating in sprint rituals and maintaining test suites. Your mission? To create, maintain, and execute tests that ensure data completeness and integrity, ultimately driving continuous improvement. With flexibility, an inspiring culture, and a commitment to diversity, Q4 is the place for those who are motivated by problem-solving in unorthodox ways. You'll be equipped with health and lifestyle benefits, flexible work environments, and a supportive team that values your growth. Come join us in shaping the future of investor relations!

Frequently Asked Questions (FAQs) for Data QA Specialist Role at Q4
What are the key responsibilities of a Data QA Specialist at Q4?

As a Data QA Specialist at Q4, you'll be responsible for leading the data quality control efforts throughout the software development life cycle. This includes analyzing data for compliance with design specifications, performing root cause analysis on data issues, and communicating quality issues to stakeholders. Your role is crucial in establishing data governance and ensuring quality processes are adhered to.

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What qualifications do I need to apply for the Data QA Specialist role at Q4?

To apply for the Data QA Specialist position at Q4, you should have at least 5 years of experience in developing complex data quality audits using SQL and a minimum of 3 years in a quality assurance role for software development. A strong understanding of Agile development, CI/CD, and QA testing methodologies is essential. Experience with automation tools and bug tracking systems will also be highly beneficial.

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How does Q4 ensure continuous learning for its Data QA Specialists?

At Q4, we are committed to continuous growth and learning for all team members, including our Data QA Specialists. We encourage professional development through ongoing training, participation in relevant workshops, and access to the latest tools and methodologies to enhance your skills and keep up with industry trends.

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What tools and technologies does a Data QA Specialist at Q4 work with?

A Data QA Specialist at Q4 utilizes various tools and technologies, including SQL for data manipulation, bug tracking and test case management tools like JIRA and TestRail, and automation tools, preferably Python. Your experience with data exploration and analysis tools will also be key to ensuring data quality across our platform.

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What is the team culture like for the Data QA Specialists at Q4?

The team culture at Q4 for Data QA Specialists is one of collaboration, openness, and diversity. We believe that a friendly and inclusive environment fosters innovation and allows us to produce remarkable outcomes. We support each other through a mix of virtual team building and social activities, creating a strong sense of community.

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What kind of work environment can a Data QA Specialist expect at Q4?

At Q4, Data QA Specialists can expect a flexible work environment. You can choose to work from home, one of our trendy office locations, or a mix of both. We emphasize the importance of balancing work and personal life, allowing you to recharge and maintain your well-being.

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How does Q4 prioritize data quality in its products?

Q4 prioritizes data quality through a rigorous data governance framework. As a Data QA Specialist, you will lead quality efforts by conducting audits, creating tests for data completeness, and communicating quality concerns. Our goal is to integrate quality at every stage of the software development life cycle, ensuring we provide reliable and accurate data to our clients.

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Common Interview Questions for Data QA Specialist
What experience do you have with SQL as a Data QA Specialist?

In your answer, highlight specific projects where you've utilized SQL to develop data quality audits. Discuss how you analyze data, perform validations, and summarize findings. Be sure to mention your proficiency in writing complex queries and how it has contributed to ensuring data integrity.

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Can you describe your familiarity with Agile development practices?

When answering, focus on your understanding of Agile methodologies. Discuss how you have participated in sprints, collaborated with cross-functional teams, and iterated on processes based on feedback. Including your ability to adapt quickly in a fast-paced environment will be advantageous.

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How do you approach root cause analysis when you identify data quality issues?

Outline your systematic approach to root cause analysis, emphasizing your problem-solving skills. Detail a specific instance where you identified a data issue, the steps you took to investigate, and how you recommended solutions to prevent recurrence. Your ability to communicate findings to stakeholders is also important.

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What data exploration and analysis tools have you used in your previous roles?

List the data exploration and analysis tools you're familiar with, such as Excel, Tableau, or other BI tools. Explain how you've utilized these tools to analyze data quality metrics, visualize discrepancies, and present actionable insights to improve data quality within your team.

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Describe a time when you helped improve a QA process.

Share a specific example where you identified inefficiencies in a QA process and took the initiative to improve it. Discuss the steps you took to implement changes, how you measured success, and the positive outcomes resulting from your improvements.

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What automated testing practices are you familiar with?

Discuss your experience with automated testing frameworks and tools. Highlight specific projects where you've implemented automated tests, how you ensured those tests aligned with business requirements, and the results of those implementations in terms of efficiency and reduced error rates.

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How do you stay current with the latest QA trends and technologies?

Your answer should reflect your commitment to professional development. Mention the resources you use, such as webinars, online courses, or industry conferences. Highlight any communities you engage with to learn about new advancements in QA methodologies and tools.

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How do you handle conflicting priorities or tight deadlines in your QA work?

Illustrate your organizational skills and ability to prioritize. Provide examples of situations where you managed multiple responsibilities under pressure, detailing how you communicated with your team and maintained focus on quality outcomes despite time constraints.

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What challenges have you faced while performing data audits?

Be honest about the challenges you've encountered in data audits, such as incomplete data sets or discrepancies in reporting. Discuss your strategies for overcoming these challenges, including collaboration with other teams and creative problem-solving approaches.

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Why do you want to work for Q4 as a Data QA Specialist?

In your response, articulate your passion for data quality and your alignment with Q4's mission and values. Discuss how you see yourself contributing to the success of Q4's innovative platform and your enthusiasm for being part of a diverse and inclusive team.

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Q4 Inc. (Q4) is a leading capital markets communication platform that is transforming the way public companies, investors and investment banks make decisions to discover, communicate and interact with each other efficiently. Q4's comprehensive tec...

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Full-time, remote
DATE POSTED
November 30, 2024

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