Financial Planning

Director - Data Analysis

Position: Director - Data Analysis

Schedule: Night Shift

Work Set-up: Hybrid

Employment Type: Full Time and Direct Hire

About the Role:

As the Director for Data Analysis, you are responsible for validating enterprise-wide analytical tools to ensure quality, manage risks, and support effective business decision-making. Python programming skills to support testing, automation, and prototyping of analytical solutions.

• Develop and refine a framework for validating analytical tools across the organization.
• Plan, manage, and execute validation projects independently.
• Assess the methodologies, risks, and applications of analytical tools used across business processes.
• Provide clear communication of findings through validation reports, presentations, and stakeholder discussions.
• Collaborate with colleagues and leverage training to design innovative business solutions using coding and analytics.
• Mentor and coach junior staff for analytical problem-solving.

Job Qualification

• Bachelor\'s degree in Finance, Economics, Statistics, Computer Science, Mathematics, Engineering, or a related field (Master\'s degree preferred).
• Strong Python programming skills for automation, testing, and prototyping.
• Solid understanding of analytical tools, quantitative models, and risk assessment frameworks.
• Excellent communication skills with experience preparing reports, presentations, and technical documentation for both technical and non-technical audiences.
• Strong problem-solving and critical thinking abilities, with a track record of driving process improvements and implementing best practices.

Pr. Analyst, Data Analysis

Posted today

Job Description

Pr. Analyst, Data Analysis

Summary

• As a Pr. 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. This role offers a unique opportunity to apply data-driven solutions in a fast-paced, risk-focused environment. The role will develop dynamic reporting, advanced analytics, and automation to provide real-time risk management and drive efficiency. The role will have the opportunity to lead multiple projects, drive strategic initiatives, and leverage cutting-edge technologies and innovative data practices to strengthen risk management strategies.

General Responsibilities

• 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

Additional responsibilities

• Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
• 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 5 years of experience performing data analytics

• At least 3 years of experience working with at least one scripting language
• At least 3 years of experience utilizing a business intelligence visualization tool

At least 3 years of experience in querying, analyzing and working with data languages and platforms

Skills Required:

• Scripting experience in Python, R, Spark, and SQL
• 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 night shift schedule
• Willing to work in a hybrid schedule
• Willing to work in Alabang

Preferred Qualifications

• Master\'s Degree in STEM
• At least 4 years of experience coding in Python, R, Spark, or SQL
• At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
• At least 2 years of experience leading multiple projects
• At least 2 years of experience utilizing and developing within AWS services
• At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry

No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state, or local law. 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.

If you require an accommodation, please contact Capital One Recruiting. For technical support or questions about Capital One\'s recruiting process, please email the appropriate address provided by Capital One.

Capital One Financial is made up of several entities. Position postings in Canada, the United Kingdom, and the Philippines refer to Capital One entities accordingly.

DWS - Business Functional Analyst - Financial Reporting and Data Analysis/Modelling - AVP

Posted today

Job Description

Job Title: TDI - Business Functional Analyst

Location: Manila

Business Functional Analysis is responsible for business solution design in complex project environments.

What we will offer you

A healthy, engaged and well-supported workforce are better equipped to do their best work. We are committed to providing an environment with development and wellbeing at its center.

You can expect

• Medical and Life Insurance upon employment

Your key responsibilities

• Perform high-volume, content-driven data analytics to support regulatory reporting requirements
• Contribute to the conceptual design and customization of data warehouse components
• Develop and maintain business data models to support evolving reporting needs
• Conduct business impact analysis and reverse engineering analysis of existing systems and data flows
• Identify and analyze data trends to drive insights and improvements
• Define, document, and manage business and technical requirements in collaboration with stakeholders
• Proactively manage the investigation and resolution of data issues impacting regulatory reporting metrics
• Analyze root causes and liaise with business teams to drive strategic, long-term fixes

Your skills and experience

• Analytical skills with hands-on experience in high-volume data analysis (Essential)
• Experience of IT analytics tools and technologies such as SQL, Python, and related data processing frameworks (Essential)
• Experience with Axiom regulatory reporting platforms
• Understanding of Risk Control, Accounting, Treasury, and/or Finance functions
• Appreciation of Investment Banking products and core regulatory metrics such as RWA, Leverage Ratio, and Capital Adequacy
• Familiarity with front-to-back system architecture and data flow across banking operations
• Amenable to midshift - 2pm to 11pm
• Amenable to hybrid work model

Power BI Specialist

Posted today

Job Description

About Penbrothers

Penbrothers is an HR & remote talent management partner...

What you\'ll do

• Develop and maintain Power BI dashboards and reports based on business requirements.
• Work closely with stakeholders to understand reporting needs and translate them into functional BI solutions.
• Integrate data from various sources such as SQL databases, Excel files, APIs, and cloud services.
• Create data models and DAX calculations to ensure accurate and meaningful visualizations.
• Ensure data integrity, performance optimization, and usability of reports.
• Conduct data analysis to support strategic initiatives and provide actionable insights.
• Provide training and support to business users on Power BI tools and self-service capabilities.
• Stay current with Power BI and broader data visualization trends and tools.

What You Bring

• Bachelor\'s degree in Computer Science, Data Science, Mathematics, Information Systems, Business Analytics, or a related field.
• At least 2+ years of experience with Power BI in a data analysis or BI capacity.
• Proficiency in DAX, Power Query (M), and data modeling.
• Strong experience with SQL and relational databases.
• Knowledge of data warehousing, ETL processes, and data governance best practices.
• Strong communication and presentation skills.
• Experience in cloud platforms such as Azure, AWS, or Google Cloud is a plus.
• Microsoft Power Platform experience
• Proficiency to deliver business insights and create data visualizations.

Hiring Process

We use AI tools as part of our hiring process. AI Interviewer may be used, supervised by Human Talent Acquisition Experts.

Diversity and inclusion statement omitted for brevity.

What\'ll Get

We offer opportunities for growth, meaningful work, and a flexible remote setup.

• Meaningful work & Growth
• Employee as our biggest asset
• Global reach & local impact
• Powering global startups

Power BI Specialist

Mandaluyong, National Capital Region

Salary: not specified

Posted today

Data Analytics Specialist

Posted today

Job Description

Position Title: Data Analytics Specialist

Overall Objectives

• Maintain data quality and consistency through preparation, validation, and governance
• Own and manage data dashboards with vendors and stakeholders to ensure accuracy, relevance, and adoption
• Support decision-making by tracking performance, running analyses, and sharing actionable insights

Key Responsibilities

• Data Preparation & Quality Assurance - Extract, clean, and consolidate data from multiple sources. Create standardized templates to streamline reporting and analysis, validate accuracy by checking against source files, running tests, and ensuring consistency
• Data Governance & Documentation - Maintain data definitions, KPI dictionaries, and process documentation, support data governance standards
• Stakeholder & Vendor Management - Act as liaison with stakeholders and dashboard vendor, ensure requirements are met and dashboards align to business needs, assist in onboarding and training
• Performance Monitoring & Insights - Track KPIs, highlight risks and opportunities, provide ad hoc analysis

Education

College Degree;Bachelor\'s degree in Business, Statistics, Economics, Computer Science, Data Analytics, or related field

Data Analytics Specialist

Posted today

Job Description

Duties and responsibilities

• Check the daily schedule for the assigned games.
• Monitor the assigned schedule of games.
• Comply with SOPs on data checks.
• Adapt to changes in matches.
• Identify errors and discrepancies.
• Communicate issues to teammates.
• Update daily reports.
• Endorse issues to next shift.
• Handle events with minimal supervision
• Validate data such as odds, teams, and kickoff dates.

Qualifications

• Bachelor\'s degree required
• English communication proficiency
• Adept in math
• Proficiency in MS Office
• Ability to manage multiple assignments and stay accurate
• Physically fit and safety-conscious
• Knowledge of sports rules and leagues
• Flexible schedule including nights, weekends, holidays

Job Type: Full-time

• Company events
• Health insurance
• Life insurance
• Paid training

Locations: Various

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