Senior Data Analyst – Emerging Payments, AirKey

Capital One

. Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities .

Posted 10/23/2026full-timeUnited StatesSenior💰 $111,200 - $138,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, utilizing scripting languages such as Python, R, Spark, and SQL to build data solutions and tools. Proficient in data quality management principles and experienced in leveraging business intelligence visualization tools to provide actionable insights.

Highest-signal resume keywords

Data Analytics ExperienceScripting in Python, R, Spark, SQLBusiness Intelligence Visualization ToolsData Quality ManagementExperience with Snowflake Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsScriptingSQLPythonRSparkData WarehousingData GovernanceData Quality ManagementBusiness Intelligence

Tools & Technologies

SnowflakeAWSInformatica DQAgileLeanSix Sigma

Industry Keywords

Data SolutionsData Quality Management PrinciplesMetadataData Access GovernanceSelf-Service Frameworks

Tech Stack

Tools & technologies

AWSInformaticaPythonSparkSQL

About the role

Key responsibilities & impact

Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities
Use open-source and digital technologies to mine complex, voluminous, and varied data sources and platforms
Build data solutions, tools, and capabilities enabling self-service frameworks for data consumers
Explore and quickly adopt new technologies to progress varied initiatives
Partner with the business to provide consultancy and translate business needs into tools, techniques, metrics, and dashboards
Drive analysis that provides meaningful insights on business strategies
Promote adherence to data quality management principles, including metadata, lineage, and business definitions
Collaborate with Technology teams to manage security mechanisms and data access governance
Build and execute tools to monitor and report on data quality

Requirements

What you’ll need

Degree specialized in a Science, Technology, Engineering, Mathematics discipline
Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or related quantitative field) plus at least 2 years of data analytics experience, or a Master’s Degree with expected completion by the scheduled start date
At least 1 year of experience working with at least one scripting language
At least 1 year of experience utilizing a business intelligence visualization tool
At least 1 year of experience querying, analyzing, and working with data languages and platforms
Scripting experience in Python, R, Spark, and SQL
Experience with data warehouses/SQL and unstructured data
Experience utilizing and developing within Snowflake services
Preferred: Master’s Degree in a STEM discipline
Preferred: At least 2 years of experience coding in Python, R, Spark, or SQL
Preferred: At least 2 years of experience with Agile, Lean, Six Sigma, or other process management and improvement methodologies
Preferred: At least 1 year of experience utilizing and developing within AWS services
Preferred: At least 1 year of experience with data governance, data quality management concepts, and data quality tools such as Informatica DQ
Ability to work under Capital One’s hybrid policy and maintain required on-site presence at the designated office location

Benefits

Comp & perks

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial and other benefits supporting total well-being
Employment authorization sponsorship may be considered for a new qualified applicant
Hybrid work arrangement