„Capital One“ yra finansinių paslaugų ir finansinių technologijų įmonė, siūlanti kredito korteles, paskolas automobiliams, bankininkystės ir taupymo produktus. Jos veikloje finansinė patirtis derinama su technologijomis ir skaitmeniniais įrankiais, kad klientams būtų lengviau valdyti savo pinigus. Įmonės karjeros srityje daugiausia dėmesio skiriama į klientus orientuotų sprendimų kūrimui įvairioje ir įtraukioje darbo aplinkoje.
Principal Data Analyst, Credit Card
Develop governed data solutions, dashboards, and business insights for Capital One’s credit card business. This hybrid role is based in McLean or Richmond, Virginia.
Jungtinės Valstijos
Virdžinija119 400 $ – 149 800 $ / metai
HibridinisVisas etatasVadovasPrivaloma Kalba: anglųDuomenų analitikasAprašymas
- Develop and maintain well-governed data solutions and capabilities using analytical and technical skills.
- Analyze complex, high-volume data from varied sources and platforms with open-source and digital technologies.
- Create data tools and capabilities that enable consumers to access data through self-service frameworks.
- Assess new technologies and apply them to a range of initiatives.
- Advise business partners and translate their needs into tools, methods, metrics, and dashboards.
- Analyze data to generate actionable insights into business strategies.
- Support data quality practices, including metadata, lineage, and business definitions.
- Work with Technology teams on security controls and data access governance.
- Develop and run tools to monitor and report data quality.
Reikalavimai
- A degree specialized in a science, technology, engineering, or mathematics discipline.
- A bachelor’s degree in a quantitative field and at least 5 years of data analytics experience, or a master’s degree and at least 3 years of data analytics experience.
- The required degree must be completed by the scheduled start date.
- At least 3 years of experience with a scripting language.
- At least 3 years of experience using a business intelligence visualization tool.
- At least 3 years of experience querying, analyzing, and working with data languages and platforms.
- Scripting experience with Python, R, Spark, and SQL.
- Experience with data warehouses, SQL, and unstructured data.
- Experience using and developing with AWS services.
- Preferred: A master’s degree in a STEM discipline.
- Preferred: At least 4 years of coding with Python, R, Spark, or SQL.
- Preferred: At least 4 years of experience with Agile, Lean, Six Sigma, or similar process methodologies.
- Preferred: At least 2 years of experience using and developing with AWS services.
- Preferred: At least 2 years of experience delivering data governance and data quality management practices in financial services.
Privalumai
- Performance-based incentive compensation, which may include cash bonuses or long-term incentives.
- A comprehensive, competitive, and inclusive range of health, financial, and other benefits supporting overall well-being.
- Employment authorization sponsorship may be considered for qualified new applicants.