Data Quality Analyst
Job Overview:
Plooto is seeking a detail-oriented and proactive Data Quality Analyst to join our growing data team. This role will be crucial in establishing and maintaining data quality standards across our organization, with a primary focus on implementing and managing our Monte Carlo data observability platform. The ideal candidate will have a strong background in data analysis, a keen eye for detecting data anomalies, and experience with data catalogs and metadata management.
This position offers a unique opportunity to make a significant impact on Plooto's data quality and governance practices. The ideal candidate will combine technical expertise with a passion for data integrity to ensure the trustworthiness and reliability of Plooto's data assets.
Key Responsibilities:
- Data Observability Implementation:
- Lead the implementation and ongoing management of the Monte Carlo data observability platform.
- Develop and maintain data quality metrics and monitoring processes.
- Set up alerting systems for data quality issues across all critical data assets.
- Data Catalog Management:
- Assist in populating and maintaining the data catalog (Unity Catalog) with accurate and up-to-date information.
- Collaborate with data owners across the organization to ensure comprehensive and accurate metadata.
- Data Quality Analysis:
- Conduct regular data quality assessments across all key data systems.
- Identify data quality issues and work with relevant teams to resolve them.
- Develop and implement data quality rules and checks.
- Reporting and Documentation:
- Create regular reports on data quality metrics and trends.
- Maintain documentation on data quality processes, rules, and standards.
- Cross-functional Collaboration:
- Work closely with the Data Governance Manager and other teams to align data quality initiatives with broader data governance goals.
- Provide guidance to other teams on data quality best practices.
Qualifications:
- Bachelor's degree in Computer Science, Information Systems, Statistics, or related field.
- 3+ years of experience in data quality management or related roles.
- Hands-on experience with data observability tools, preferably Monte Carlo.
- Strong understanding of data quality dimensions (accuracy, completeness, consistency, timeliness, validity, uniqueness).
- Proficiency in SQL and experience with data manipulation and analysis.
- Familiarity with data catalog tools and metadata management practices.
- Experience with Databricks and Unity Catalog is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication skills and ability to work with cross-functional teams.
Required Experience:
- Proven experience implementing and managing data quality initiatives.
- Experience with data profiling, data cleansing, and data standardization techniques.
- Track record of improving data quality in complex data environments.
Key Skills and Attributes:
- Detail-oriented with a passion for data accuracy and integrity.
- Proactive in identifying and addressing data quality issues.
- Ability to translate technical concepts into business terms for non-technical stakeholders.
- Strong project management skills and ability to manage multiple priorities.
What We Offer:
- Opportunity to build and shape the data governance function at a growing fintech startup.
- Highly collaborative work environment with exposure to multiple aspects of the business.
- Competitive salary and benefits package.
- Professional development opportunities and the chance to grow with the company.
This position is only available as a remote contract opportunity and available internationally.
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