About careerzynith
careerzynith is a forward‑thinking leader in the data‑driven customer intelligence space, empowering organizations worldwide to turn raw data into strategic advantage. Our mission is to deliver crystal‑clear insights that drive smarter decisions, fuel growth, and create lasting value for our partners. With a culture built on curiosity, collaboration, and continuous improvement, careerzynith invests heavily in cutting‑edge technology, robust data governance frameworks, and the professional development of every team member. As a remote‑first organization, we champion flexibility, diversity, and a supportive environment where talent can thrive from any corner of the globe.
Position Summary
The Lead Data Quality Analyst at careerzynith will be the guardian of the highest‑quality customer and contract data across the enterprise. You will own the end‑to‑end data quality lifecycle—identifying issues, designing remediation plans, executing cleansing projects, and establishing sustainable controls. By partnering with cross‑functional stakeholders, you will translate data quality challenges into actionable roadmaps that align with careerzynith’s strategic priorities and data governance vision. This role is fully remote, offering the flexibility to work from anywhere while collaborating with a global team of data professionals, product owners, and business leaders.
Key Responsibilities
Data Quality Assessment & Issue Management
- Identify, analyze, assess, document, and communicate potential quality issues in the way data is collected, stored, processed, or used.
- Perform root‑cause analysis on data anomalies and develop corrective action plans that prevent recurrence.
- Maintain a living catalogue of data quality incidents, prioritizing them based on business impact and governance principles.
Stakeholder Partnership & Collaboration
- Forge strong partnerships with Customer Solutions, Product, Engineering, and other functional teams to design and implement data quality improvement plans.
- Facilitate workshops and working sessions that surface data challenges, align expectations, and secure commitment to remediation timelines.
- Serve as the primary point of contact for data quality inquiries, providing clear guidance and status updates to stakeholders at all levels.
Data Cleansing & Standardization Projects
- Lead end‑to‑end data cleansing initiatives, from scoping and resource planning to execution and post‑implementation validation.
- Develop and enforce standardized transactional processes that enable smooth handoff to long‑term data owners.
- Leverage advanced Excel, SQL, and Power BI techniques to transform, de‑duplicate, and enrich data sets.
Data Integrity Maintenance & Metrics
- Create, monitor, and report on data quality metrics that reflect the current state of data integrity and the success of improvement initiatives.
- Design automated controls and validation rules that safeguard data at ingestion, transformation, and consumption stages.
- Document data rules, definitions, lineage, and calculations in collaboration with the Data Governance senior manager.
Governance Enablement & Culture Building
- Partner with the Data Governance senior manager to embed a culture of data accountability across careerzynith.
- Support the rollout of careerzynith’s Customer Solutions Data Governance vision, ensuring alignment with corporate strategy.
- Develop and deliver compelling presentations, dashboards, and communications that translate complex data quality findings into business‑friendly insights.
Essential Qualifications
- Bachelor’s degree in Business, Science, Information Systems, or a related discipline.
- Minimum 4 years of professional experience in data analysis, data quality, or related fields.
- At least 2 years of hands‑on experience leading data transformation and cleansing projects.
- Solid understanding of database concepts and data modeling fundamentals.
- Advanced proficiency with Excel, SQL, and Power BI, including complex formulas, scripting, and visual analytics.
- Demonstrated knowledge of data governance principles—data definitions, calculations, source documentation, lineage, and stewardship.
Preferred Qualifications
- Master’s degree or higher in a quantitative or data‑focused discipline.
- Experience with Integrated Data Networks (IDN) and Definitive Data concepts, especially within the healthcare or financial services sectors.
- Familiarity with data quality tools such as Informatica Data Quality, Talend, or Collibra.
- Prior exposure to cloud‑based data platforms (e.g., Snowflake, Azure Synapse, AWS Redshift).
- Certification in Data Governance, Data Management, or related fields (e.g., DAMA‑CDMP, DGSP).
Core Skills & Competencies
- Analytical mindset: Ability to dissect large data sets, spot patterns, and derive actionable insights.
- Communication excellence: Translate technical findings into clear, concise narratives for non‑technical audiences.
- Project leadership: Manage multiple concurrent projects, set realistic timelines, and deliver results on schedule.
- Collaboration: Work effectively with cross‑functional teams, fostering trust and shared ownership of data quality goals.
- Attention to detail: Meticulous documentation of data rules, definitions, and change logs.
- Continuous learning: Stay current with emerging data quality methodologies, tools, and industry best practices.
Career Growth & Learning Opportunities
At careerzynith, the Lead Data Quality Analyst role is a springboard to senior data leadership positions. Successful analysts often progress to roles such as Data Governance Manager, Head of Data Quality, or Director of Customer Intelligence. careerzynith supports your growth through:
- Access to a robust learning library covering advanced analytics, data engineering, and governance frameworks.
- Mentorship programs pairing you with senior data architects and business leaders.
- Opportunities to lead enterprise‑wide data initiatives, gaining visibility with executive stakeholders.
- Funding for certifications, conferences, and industry events to keep your skill set cutting‑edge.
Work Environment & Culture
careerzynith embraces a remote‑first culture that values flexibility, autonomy, and work‑life harmony. Our collaborative virtual workspace includes:
- Regular “virtual coffee” sessions and team‑building activities to foster personal connections.
- Cross‑time‑zone collaboration tools (Slack, Teams, Miro) that keep communication fluid and inclusive.
- A results‑oriented performance model—what you accomplish matters more than where you sit.
- Diverse, inclusive teams where every voice is heard and ideas are celebrated.
- Well‑being initiatives such as mental‑health days, ergonomic home‑office stipends, and wellness challenges.
Compensation, Perks & Benefits
careerzynith offers a competitive total rewards package designed to attract and retain top talent. While exact figures vary by location and experience, you can expect:
- A market‑aligned base salary with annual performance bonuses tied to data quality impact.
- Comprehensive health, dental, and vision coverage for you and your dependents.
- Retirement savings plans with company matching contributions.
- Generous paid time off, parental leave, and flexible holidays.
- Professional development budget, certification reimbursements, and access to premium learning platforms.
- Technology stipend for home‑office equipment, high‑speed internet, and collaboration tools.
- Employee assistance programs, wellness resources, and a vibrant remote‑first community.
Why Join careerzynith?
If you are passionate about turning messy data into reliable, strategic assets, and you thrive in a collaborative, high‑impact environment, careerzynith is the place to amplify your influence. You will work alongside visionary data professionals, shape the future of customer intelligence, and directly contribute to the company’s mission of delivering unparalleled insight to its clients. Your expertise will not only safeguard data integrity but also empower business leaders to make confident, data‑driven decisions.
Application Process
Ready to lead data quality excellence at careerzynith? Submit your resume, a concise cover letter highlighting your most relevant data quality achievements, and any supporting artifacts (e.g., dashboards, project summaries) through our secure application portal. Our talent acquisition team will review your submission, and qualified candidates will be invited to a series of interviews that assess technical expertise, problem‑solving approach, and cultural fit.
Take the Next Step
Don’t miss the chance to shape the data future of a dynamic, remote‑first organization. Join careerzynith today, and become the catalyst that ensures every data point tells a trustworthy story.
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