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채용Capital One

Sr. Analyst, Data Analysis

Capital One

Sr. Analyst, Data Analysis

Capital One

Alabang, Muntinlupa City

·

On-site

·

Full-time

·

1mo ago

복지 및 혜택

Healthcare

401(k)

Equity

필수 스킬

Data analytics

SQL

Scripting language

Business intelligence visualization

AWS

Alabang (96050), Philippines, Muntinlupa City, National Capital Region (Manila)

Sr. Analyst, Data Analysis

Summary:

  • As a Data Analyst, this role will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. The role offers a unique opportunity to apply data-driven solutions in a fast-paced, risk-focused environment. You will develop dynamic reporting, advanced analytics, and automation to provide real-time risk management and drive efficiency. Leveraging cutting-edge technologies and innovative data practices, this role will play a key role in strengthening risk management strategies.

General Responsibilities:

  • Innovation

Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms

  • Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers

  • Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

  • Business Intelligence

Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization

  • Drive analysis that provides meaningful insights on business strategies

  • Data Management

Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions

  • Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance

  • Build and execute tools to monitor and report on data quality

Basic Qualifications:

  • Educational Background: Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field)

  • Professional Experience:

At least 2 years of experience performing data analytics

  • 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 in querying and analyzing and working with data languages and platforms

  • Skills Required:

Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)

  • Experience utilizing and developing within AWS services

  • Willing to work in a mid shift schedule

  • Willing to work in a hybrid set up during training and work from home onwards

  • Willing to work in Alabang

Preferred Qualifications:

  • Master’s Degree in a Science, Technology, Engineering, Mathematics discipline

  • At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.

  • At least 1 year of experience utilizing and developing within AWS services

  • At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ)

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at Recruiting Accommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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Capital One 소개

Capital One

A financial services company that provides banking, credit card, auto loan, savings, and commercial banking services.

10,001+

직원 수

Mclean

본사 위치

$30B

기업 가치

리뷰

3.9

10개 리뷰

워라밸

3.2

보상

4.0

문화

3.8

커리어

3.5

경영진

3.7

72%

친구에게 추천

장점

Flexible work arrangements and hours

Good benefits and competitive compensation

Supportive team dynamics and collaboration

단점

High workload and long hours

High pressure and stress during peak times

Limited career advancement opportunities

연봉 정보

88개 데이터

L2

L3

L4

L5

L6

M3

M4

M5

M6

Mid/L4

Senior/L5

L2 · Data Scientist L2

0개 리포트

$113,205

총 연봉

기본급

$45,282

주식

$56,603

보너스

$11,321

$79,244

$147,167

면접 경험

5개 면접

난이도

3.0

/ 5

소요 기간

14-28주

합격률

40%

경험

긍정 40%

보통 60%

부정 0%

면접 과정

1

Application Review

2

Online Assessment (CodeSignal)

3

Recruiter Phone Screen

4

Technical Interview

5

Behavioral Interview

6

Power Day/Super Day

7

Final Round/Offer

자주 나오는 질문

Coding/Algorithm

Data Analysis

Behavioral/STAR

Technical Knowledge

System Design