Senior Data Analyst- Card

Capital One•McLean, VA
•$111,200 - $126,900•Hybrid

About The Position

At Capital One, data is central to the business. The Senior Data Analyst will use analytical and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to address business problems. The work spans innovation, business intelligence, and data management. In innovation, the analyst uses open-source and digital technologies to mine complex, high-volume, and varied data sources and platforms; builds well-managed solutions, tools, and capabilities that enable self-service for data consumers; and explores new technologies to advance initiatives. In business intelligence, the analyst partners with business stakeholders to translate needs into tools, techniques, metrics, dashboards, insights, and data visualizations, and conducts analysis that informs business strategies. In data management, the analyst supports data quality principles—including metadata, lineage, and business definitions—collaborates with technology teams on security and data-access governance, and builds and executes tools to monitor and report on data quality. The role is designated hybrid, with on-site attendance required in accordance with Capital One’s hybrid policy for the designated office location. The position is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

Requirements

  • Currently has or is pursuing a Bachelor’s degree in a quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related field, plus at least 2 years of data analytics experience; alternatively, currently has or is pursuing a Master’s degree, with the required degree expected to be obtained on or before the scheduled start date.
  • At least 1 year of experience working with at least one scripting language.
  • At least 1 year of experience using a business intelligence visualization tool.
  • At least 1 year of experience querying, analyzing, and working with data languages and platforms.

Nice To Haves

  • A Master’s degree in a Science, Technology, Engineering, or Mathematics discipline.
  • At least 2 years of experience coding in Python, R, Spark, or SQL.
  • At least 2 years of experience with process management and improvement methodologies such as Agile, Lean, or Six Sigma.
  • At least 1 year of experience using and developing within AWS services.
  • At least 1 year of experience with data governance, data quality management concepts, and data quality tools such as Informatica DQ.
  • A degree specialized in a Science, Technology, Engineering, or Mathematics discipline.
  • Scripting experience in Python, R, Spark, and SQL.
  • Experience working with data in various forms, including data warehouses/SQL and unstructured data.
  • Experience utilizing and developing within Snowflake services.

Responsibilities

  • Use open-source and digital technologies to mine complex, high-volume, and varied data sources and platforms.
  • Build well-managed data solutions, tools, and capabilities that enable self-service frameworks for data consumers.
  • Explore and quickly learn new technologies to advance varied initiatives.
  • Partner with business stakeholders to translate business needs into tools, techniques, metrics, and dashboards for insights and data visualization.
  • Conduct analysis that provides meaningful insights into business strategies.
  • Promote understanding of and 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.

Benefits

  • Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being.
  • Eligibility for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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