Data Quality Analyst (AcS)

Why Blue Coding? 
At Blue Coding, we specialize in hiring excellent developers and amazing people from all over Latin America and other parts of the world. For the past 11 years, we’ve helped cutting-edge companies in the United States and Canada build great development teams and develop great products. Large multinationals, digital agencies, Saas providers, and software consulting firms are just a few of our clients. Our team of over 150 engineers, project managers, QA, UX/UI designers, and many more is distributed in more than 10 countries across the Americas. We are a fully remote company working with a wide array of technologies, and we have expertise in every stage of the software development process.
Our team is highly connected, united, and culturally diverse, and our collaborators are involved in many initiatives around the world, from wildlife preservation to volunteering at local charities. We stand for honesty, fairness, respect, efficiency, hard work, and cooperation.
This position is open exclusively to candidates based in LATAM countries.     What are we looking for?

In this opportunity, we are looking for a Data Quality Analyst to work with one of our foreign clients, a company that's a leading provider of AI evaluation and optimization solutions, and to detect performance issues in large language models.

If you are fully fluent in English, proactive, communicate well, like to solve problems, and have a strong attention to detail, this role might be a great fit for you! Our jobs are fully remote, and you will be integrated directly into the client’s team, gaining valuable experience and forming meaningful connections.

What’s unique about this job?

• In this role, you’ll play a critical role in ensuring the accuracy, completeness, consistency, and reliability of our enterprise data assets. You will support efforts to define, implement, and monitor data quality standards and processes across various data domains.
•  The Data Analyst will work closely with data owners, data stewards, data consumers, and business stakeholders to identify data quality issues, determine root causes, recommend solutions, and track the remediation of identified problems.
• The Data Quality Analyst will report directly to the Director of Data Governance. This role requires a blend of strong analytical skills, technical proficiency, attention to detail, and excellent communication to support a data quality culture within the organization.

Here are some of the exciting day-to-day challenges you will face in this role:

Perform in-depth data profiling and analysis to identify data quality issues, anomalies, and inconsistencies.

Develop and implement data quality checks, rules, and metrics using
appropriate tools and techniques.

Automate data quality checks and reporting where feasible to enhance efficiency and scalability.

Create and maintain data quality dashboards and reports to monitor data health and track improvements over time.

Investigate and diagnose the root causes of complex data quality issues.

Create Jira tickets and work collaboratively with cross-functional teams to make sure issues are resolved with proper RCA and remediation plans.

Identify opportunities to improve data quality processes, workflows, and tools.

Communicate data quality issues, risks, and progress to technical and non-technical stakeholders.

Act as a subject matter expert and advocate for data quality within the organization.

Proactively identify new data validations/checks to improve data quality

You will shine if you have:

Bachelor's degree in Computer Science, Information Systems, Data Science,
Statistics, or a related quantitative field.

Strong experience as a data quality analyst.

Strong SQL expertise for data querying, analysis, and manipulation.

Experience using Salesforce (SFDC) and a solid understanding of how to analyze and fix data quality problems in SFDC. This role involves working with their core enterprise systems, such as Workday and SFDC, to ensure data accuracy and integrity.

Expertise in articulating data issues with different audiences i.e business/technical/functional stakeholders.

Familiarity with the Quote-to-Cash (Q2C) process.

Experience with data warehouses (Snowflake preferred).

Demonstrated ability to identify, analyze, and resolve complex data quality
issues.

Strong attention to detail

Comfortable with tight deadlines in a high-growth environment.

Solid understanding of data management concepts and database technologies.

Excellent analytical, problem-solving, and critical thinking skills.

Strong communication (verbal