Senior Data Quality Analyst – Hybrid Work

OpenKrill; United States; Hybride; USD 85 000 - 120 000; Plein temps

Avantages offerts par ce poste

401(k) with employer contributions

Flexible paid time off

Health coverage (medical, dental, VDit

Professional development

Résumé du poste

Sparksoft is seeking a senior data analyst to analyze structured and unstructured data from multiple sources, ensuring data accuracy and reliability across APS data. You will leverage SQL, Python, and Excel to cleanse, validate, and transform data, while presenting insights to business leaders.

The role requires collaboration with cross-functional teams, adherence to data governance standards, and experience with BI tools like Tableau, Power BI, and AWS QuickSight.

Qualifications

• Bachelor's degree in a data-focused or related field.
• 5+ years of data analytics experience.
• Experience with agile methodologies (SAFe, Scrum) and tools (Jira, Confluence).
• Excellent communication and collaborative team skills.
• Ability to thrive in a fast-paced, deadline-driven environment.
• Must be able to obtain and maintain Public Trust clearance.

Responsabilités

• Analyze structured and unstructured data to identify errors and improve data reliability.
• Ensure accuracy and completeness of APS data.
• Work with diverse data types using various analysis tools and techniques.
• Develop and implement data quality policies, procedures, and standards.
• Document processes, prepare reports, and suggest improvements.
• Develop scripts and dashboards to monitor data flow quality.

Connaissances

Advanced Excel

SQL

Python

R

Tableau

Power BI

AWS QuickSight

Data governance

Data cleansing

Jira

Confluence

GitHub

PostgreSQL

Oracle

Formation

Bachelor's degree in Computer Science, Information Technology, Math, Data Analytics, or related field

Outils

Tableau

Power BI

Excel

Jira

Confluence

GitHub

SQL

Python

R

AWS QuickSight

Description du poste

Sparksoft is seeking a senior data analyst to analyze structured and unstructured data from multiple sources, ensuring data accuracy and reliability across APS data. You will leverage SQL, Python, and Excel to cleanse, validate, and transform data, while presenting insights to business leaders.

The role requires collaboration with cross-functional teams, adherence to data governance standards, and experience with BI tools like Tableau, Power BI, and AWS QuickSight.