Data Analyst Senior

Santiago - Chile

Monthly Salary: Not Disclosed

Posted on: 23-10-2025

Vacancies: 1 Vacancy

Department:

Data Management

Job Summary

The Senior Data Analyst will play a key role within the Data Consumer Assurance function under the Data Management organization. This role is focused on the monitoring validation and assurance of a newly integrated data asset ensuring alignment with Experians standards for data quality completeness accuracy and compliance.

The analyst will design data monitoring routines investigate quality issues and develop automated workflows and dashboards that support data assurance objectives. Operating in a cloud-first and automation-driven environment the role requires strong technical expertise in data transformation and visualization as well as a deep understanding of data governance and quality frameworks.

Responsibilities

Monitor and evaluate a newly onboarded data asset ensuring high data quality completeness and consistency across systems.

Develop and automate data quality checks anomaly detection routines and integrity validations using Alteryx and other ETL frameworks.

Create dashboards and reports using Amazon QuickSight Excel or Tableau to surface insights and metrics to stakeholders.

Conduct in-depth exploratory data analysis and statistical profiling to support root cause investigations of anomalies and reporting issues.

Partner with cross-functional teams (data engineering compliance product) to enforce data governance standards and drive remediation.

Manage the full cycle of analytics: from gathering requirements and building scalable workflows to validating outputs and presenting findings.

Support cloud-based data pipelines and proactively identify automation opportunities to improve operational efficiency and traceability.

Contribute to the enhancement of data management policies documentation and SLA compliance processes.

Qualifications :

Qualifications and Skills BS in Mathematics Economics Computer Science Information Management or Statistics (preferred) or equivalent experience.
At least 3 years in a data analysis BI or data operations role with progressive responsibility.
Expertise in SQL and relational databases with ability to write complex queries for data profiling and transformation.
Exposure to Python or scripting languages for automation or statistical modeling.
Proficient in Alteryx for designing robust ETL pipelines and automating data quality checks
Experience with data visualization tools: Tableau (Desktop) Amazon QuickSight and advanced Excel. (Certification in Alteryx Tableau or AWS is a plus.)
Familiarity with cloud-based data warehouses (e.g. AWS Redshift Snowflake S3 or Athena).
Strong understanding of data governance metadata management and data integrity principles.
Experience in data anomaly detection including root cause and trend analysis in operational environments.
Proven ability to document data processes and communicate technical findings to non-technical stakeholders.
Demonstrated problem-solving ability attention to detail and initiative in resolving data quality concerns.

Additional Information :

Our uniqueness is that we celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI work/life balance development authenticity collaboration wellness reward & recognition volunteering... the list goes on. Experians people first approach is award-winning; Worlds Best Workplaces 2024 (Fortune Top 25) Great Place To Work in 24 countries and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experians DNA and practices and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work irrespective of their gender ethnicity religion colour sexuality physical ability or age. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.

Remote Work :

Yes

Employment Type :

Full-time