Senior Data Analyst — Finance Data & BI Innovator

Capital One National Association

Plano (TX)

Sur place

USD 101 000 - 115 000

Plein temps

Il y a 6 jours
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Résumé du poste

Capital One National Association in Plano, TX seeks a Senior Data Analyst to leverage analytic and technical skills to build, maintain data solutions and capabilities for tackling business problems. The role covers Innovation, Business Intelligence and Data Management with emphasis on cross-functional collaboration.

The candidate should have a quantitative degree and hands-on experience with scripting languages and BI tools, plus AWS knowledge, to translate business needs into actionable data

Qualifications

  • Bachelor’s degree in a quantitative field plus at least 2 years of data analytics experience, or Master’s degree with anticipated completion by start date.
  • At least 1 year of experience with at least one scripting language (Python, R, Spark or SQL).
  • At least 1 year of experience using a BI visualization tool.
  • At least 1 year of experience querying, analyzing, and working with data languages and platforms.

Responsabilités

  • Innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
  • Partner with the business to design tools, metrics and dashboards for insights and data visualization.
  • Drive data quality management with metadata, lineage and governance in collaboration with Tech teams.

Connaissances

Python
R
Spark
SQL
AWS

Formation

Bachelor’s degree in quantitative field
Master’s degree in a related quantitative field

Outils

Informatica DQ
BI visualization tools

Description du poste

Capital One National Association in Plano, TX seeks a Senior Data Analyst to leverage analytic and technical skills to build, maintain data solutions and capabilities for tackling business problems. The role covers Innovation, Business Intelligence and Data Management with emphasis on cross-functional collaboration.

The candidate should have a quantitative degree and hands-on experience with scripting languages and BI tools, plus AWS knowledge, to translate business needs into actionable data

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