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 RecruitingAccommodation@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).

Doximity is transforming the healthcare industry. Join our mission to help every physician be more productive and provide better care for their patients. As medicine's largest network in the United States, there's an elevated level of responsibility in everything we do. We don't take that responsibility lightly and are committed to building diverse teams with an inclusive culture that can make a direct impact on the healthcare system. One of Doximity's core values is stretching ourselves. Even if you don't check off all the boxes below we encourage you to apply. Doximity is full of exceptional people who bring their own unique experiences to work everyday and make us all better for it! As a Data Analyst, you'll work within cross-functional delivery teams alongside other analysts, engineers, and product managers in discovering data insights to help improve healthcare. This role can be filled in our San Francisco headquarters OR remotely in the U.S. About Us - Here are some of the ways we bring value to doctors - Here is an introduction to our tech stack - We use UNIX command-line interface and standard programming tools (vim/emacs, git, etc.) and have over 350 private repositories in Github containing our applications, forks of gems, our own internal gems, and open-source projects - We have worked as a distributed team for a long time; we're currently about 65% distributed - Find out more information on the Doximity engineering blog - Our company core values - Our recruiting process - Our product development cycle - Our on-boarding & mentorship process Here's How You Will Make an Impact - Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform. - Play a key role in creating both product and client-facing analytics. - Inform data team strategy by working with the product leaders and managers. Actively participate in execution and some planning of organizational data team strategy. - Collaborate with a team of product managers, analysts, and other developers to define and lead data projects from data ingestion to analysis to recommendations. About you - At least 2 years of professional experience as a data analyst or a data scientist. - Knowledge of statistical concepts, especially exploratory data analysis techniques, and probability theory. - Excellent SQL skills to create and evaluate complex statements involving numerous tables and data relationships. - Excellent visualization and storytelling skills to explain your results and solutions to the stakeholders, clearly and compellingly. - Proficient in using Python data analysis libraries such as Pandas and Numpy. Also has a basic understanding of the object-oriented programming concepts as it relates to Python. - Prior exposure to distributed data processing concepts and execution (e.g., working with column stores, leveraging spark, etc.) - Fast learner; curiosity about and passion for data. Compensation The US total compensation range for this full-time position is $110,000 - $150,000 (inclusive of salary + equity). Our ranges are determined by role and level. The range displayed on each job posting reflects the approximate total target compensation for the position across the US. Within the range, individual pay is determined by factors including relevant skills, experience, and education/training. Please note that the compensation listed does not include benefits. Benefits Doximity is proud to offer industry-leading benefits. Some of our offerings include: - Medical, dental, vision offerings for you and your family - 401k with matching program - Employee stock purchase plan - Family planning support, Childcare FSA, and parental leave - Life, AD&D, and Disability - Generous time off, holidays and paid company trips - Wellness benefits…plus many more! More info on Doximity For the past decade, it’s been our mission to help every physician be more productive so they can provide better care for their patients. We believe that when doctors are connected, the healthcare system works better and patients benefit. Doximity enables our verified clinician members to collaborate with colleagues, stay up-to-date with the latest medical news and research, manage their careers, and conduct virtual patient visits. Today, Doximity is the leading digital platform for U.S. medical professionals, with over 80% of physicians, 50% of all nurse practitioners and physician assistants, and 90% of graduating medical students as members. Joining Doximity means being part of an incredibly talented and humble team passionate about improving inefficiencies in our $4.3 trillion U.S. healthcare system. We are a team of doers who solve problems everyday by treating obstacles like an adventure, and we love creating technology that has a real, meaningful impact on people’s lives. Doxers are committed to working towards a more equitable world both within and beyond our office walls. This starts by fostering an inclusive and diverse work environment where differences are valued and all employees are encouraged to bring their full, authentic selves to work daily. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us! For more information, visit Doximity.com. ____________________________________________ EEOC Statement Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

• Responsible for day-to-day support and optimization of software applications • Analyzes business / clinical needs and evaluates software releases and/or new products • Provides recommendations to optimize processes and decrease expenses • Performs and documents workflow assessments for optimal utilization of applications • Develops system test plans and performs testing of software upgrades and patches • Responsible for problem, incident, and change management and service requests • Provides daily on-call support to the customer base • Works within a cross-functional team and with end-users for application integration • Communicates software issues, requirements, upgrades, and enhancements • Oversees smaller-sized projects or components of projects

• Atuar com análise e tratamento de grandes volumes de dados (ambientes massivos) • Desenvolver modelos estatísticos e analíticos para geração de insights • Criar dashboards e apresentações executivas de dados • Apoiar áreas de negócio na tomada de decisão baseada em dados • Garantir qualidade, consistência e governança dos dados analisados