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Analyst / Consultant - Data Quality (2025)

Greetings from Fresh Gravity

About Fresh Gravity:

Founded in 2015 and rapidly growing, Fresh Gravity (www.freshgravity.com) is a business and technology consulting company at the cutting-edge of digital transformation. We drive digital success for our clients by helping them adopt transformative technologies that make them nimble, adaptive and responsive to their rapidly-changing business needs. Our unparalleled digital transformation expertise combines business strategy prowess with digital technologies know-how. Our expertise includes Data Management, Artificial Intelligence, Data Science & Analytics, and API Management & Integration.

In a short time, we have crafted an exceptional team who have delivered impactful projects for some of the largest corporations in the world. We are on a mission to solve the most complex business problems for our clients using the most exciting new technologies. And we are looking for top talent to join us in our quest.

Fresh Gravity’s team members are authorities in their field, but know how to have fun, too. We’re building an inspiring, open organization you’ll take pride in. We challenge ourselves to grow – every day. We create value for our clients and partners – every day. We promise rich opportunities for you to succeed, to shine, to exceed even your own expectations.

We are thoughtful. We are engaged. We are relentless. We are Fresh Gravity.

Fresh Gravity is an equal opportunity employer.

  • · Develop and implement data quality strategies to ensure high data quality across various systems.
  • · Perform data profiling and quality assessments to identify data issues and improvement opportunities.
  • · Collaborate with cross-functional teams to define and document data quality metrics and standards.
  • · Conduct root cause analysis for data quality issues and present findings to stakeholders.
  • · Monitor data quality metrics and prepare reports to communicate results and trends.
  • · Support data cleansing initiatives and drive remediation efforts.
  • · Assist in the design and implementation of data quality tools and technologies.
  • · Engage with business users to understand data requirements and data quality expectations.
  • · Document data quality processes and best practices for ongoing reference.
  • · Stay updated with industry best practices and emerging trends in data quality management.
  • · Experience with SQL and other data querying tools.
  • · Strong analytical skills with the ability to interpret complex data sets.
  • · Good communication skills to work with stakeholders at various levels.
  • · Familiarity with data governance principles and methodologies.
  • · Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus.

In addition to a competitive package, we promise rich opportunities for you to succeed, to shine, to exceed even your own expectations. In keeping with Fresh Gravity’s challenger ethos, we have developed the 5Dimensions (5D) benefits program. This program recognizes the multiple dimensions within each of us and seek to provide opportunities for deep development across these dimensions. Enrich Myself; Enhance My Client; Build my Company, Nurture My Family; and Better Humanity.

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CEO of Fresh Gravity
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Ajit Kumbhare
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Average salary estimate

$75000 / YEARLY (est.)
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$60000K
$90000K

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What You Should Know About Analyst / Consultant - Data Quality (2025), Fresh Gravity

Welcome to Fresh Gravity! We’re excited to announce an opening for an Analyst / Consultant - Data Quality. At Fresh Gravity, we’re not just another business and technology consulting company; we are at the forefront of digital transformation, helping our clients thrive in a fast-paced world. If you have a passion for ensuring data integrity and quality, this role is perfect for you. You’ll be responsible for developing and implementing robust data quality strategies that ensure high standards across various systems. Imagine diving into data profiling and quality assessments to uncover and fix data issues while collaborating with cross-functional teams to define quality metrics that drive success. You’ll not only conduct thorough root cause analyses of data quality issues but also communicate your findings to stakeholders, making an impact on key business decisions. Your insights will help monitor and improve data quality metrics, preparing reports that highlight trends and improvements. With experience in SQL and strong analytical skills, you’ll help engage business users to understand their data needs and deliver solutions that exceed expectations. At Fresh Gravity, we believe in creating a supportive, fun, and innovative work environment, and we’re committed to your success through our unique 5Dimensions benefits program. Here, you'll have rich opportunities to grow, succeed, and exceed your own expectations. If you’re ready to challenge the status quo and drive meaningful transformation, we’d love to hear from you!

Frequently Asked Questions (FAQs) for Analyst / Consultant - Data Quality (2025) Role at Fresh Gravity
What are the primary responsibilities of the Analyst / Consultant - Data Quality at Fresh Gravity?

As an Analyst / Consultant - Data Quality at Fresh Gravity, you will develop and implement data quality strategies, perform data profiling and quality assessments, and collaborate with cross-functional teams to set metrics and standards. You’ll analyze root causes of data issues, monitor metrics, support data cleansing initiatives, and engage with business users to understand their data needs.

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What qualifications are needed for the Analyst / Consultant - Data Quality position at Fresh Gravity?

To excel as an Analyst / Consultant - Data Quality at Fresh Gravity, candidates should have strong analytical skills, experience with SQL and other data querying tools, and a solid understanding of data governance principles. Familiarity with data visualization tools like Tableau or Power BI is also beneficial. Good communication skills are essential for working effectively with stakeholders.

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How does Fresh Gravity ensure a positive work-life balance for Analyst / Consultant - Data Quality team members?

Fresh Gravity is committed to work-life balance for the Analyst / Consultant - Data Quality position through its unique 5Dimensions benefits program. This program encourages team members to develop across several dimensions including personal growth, client engagement, and community enrichment, ensuring that employees can thrive both professionally and personally.

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What kind of tools and technologies will the Analyst / Consultant - Data Quality use at Fresh Gravity?

In the Analyst / Consultant - Data Quality role at Fresh Gravity, you’ll engage with various data quality tools and technologies that assist in data management and quality assessments. Having experience with SQL, data profiling tools, and visualization software such as Tableau or Power BI will enhance your effectiveness in this position.

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What opportunities for growth and development exist for the Analyst / Consultant - Data Quality at Fresh Gravity?

Fresh Gravity prioritizes professional development for the Analyst / Consultant - Data Quality role. The environment promotes continuous learning and skill enhancement through on-the-job experiences, mentorship programs, and access to industry best practices, allowing you to grow your expertise and career.

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Common Interview Questions for Analyst / Consultant - Data Quality (2025)
Can you describe your experience with data quality management processes?

When answering this question, provide specific examples of data quality management processes you've developed or participated in. Discuss tools you’ve used for data profiling, metrics you've established for monitoring quality, and any cross-functional collaborations that have enhanced data integrity.

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How do you approach root cause analysis for data quality issues?

Discuss your systematic approach to identifying the root cause of data issues, highlighting your analytical methods. You can mention the importance of collaborating with various stakeholders to gather insights and how you implement solutions based on your analysis.

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What methods do you use to ensure stakeholder engagement in data quality initiatives?

Explain how you foster relationships with stakeholders, focusing on communication strategies that encourage feedback and collaboration. Highlight any techniques you use to ensure that stakeholders understand data requirements and quality standards.

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What experience do you have with data cleansing initiatives?

Share your direct involvement in data cleansing projects, the processes you followed, and tools you used to identify and rectify data inaccuracies. Mention your approach to measuring the success of these initiatives and the impact on business operations.

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How do you stay updated on industry best practices in data quality management?

Discuss the resources you use to stay informed about the latest trends in data quality management, such as attending webinars, following industry publications, or participating in relevant professional groups. Emphasize your commitment to continuous learning.

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Can you share an example of a challenging data quality project you worked on?

Provide a detailed example of a specific project, discussing the challenges faced, your role in the project, the strategies employed to overcome these challenges, and the results achieved, both in terms of data quality and stakeholder satisfaction.

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What data visualization tools have you worked with, and how have they helped you communicate data quality findings?

Discuss your experience with visualization tools like Tableau or Power BI, highlighting specific instances where you used them to present data quality findings. Explain how visual insights improved understanding among stakeholders and informed decision-making.

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How do you balance the need for high data quality with project deadlines?

Explain your approach to prioritizing data quality while meeting project timelines. Discuss strategies such as early identification of potential data issues, efficient data profiling, and close communication with teams to ensure quality standards are maintained without sacrificing deadlines.

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What steps do you take to document data quality processes and standards?

Describe your process for documenting data quality standards and practices, such as using templates, creating data quality dashboards, or writing detailed process guides. Emphasize the importance of documentation for ongoing reference and knowledge transfer.

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How do you interpret complex data sets for stakeholders who might not be data-savvy?

Describe how you translate complex data into understandable insights for non-technical stakeholders. Focus on examples where you used storytelling, simplified visuals, and relatable metrics to convey data insights that drove actionable outcomes.

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Our mission is to drive digital success for our clients by enabling them to adopt transformative technologies that make them nimble, adaptive and responsive to the changing needs of their businesses.

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Full-time, remote
DATE POSTED
January 8, 2025

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