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3.9

based on 903 Reviews

Video summary

130 PayPal Jobs

Financial Analyst

PayPal Holdings, Inc.

3.9

based on 903 Reviews

7-10 years

Chennai

1 vacancy

Financial Analyst

PayPal

posted 5d ago

Job Role Insights

Flexible timing

Key skills for the job

Excel Financial Analysis SQL Automation Testing Operations Product Management

+ 4 more

Job Description

This highly collaborative role will involve close coordination within the FPA organization and across broader teams, including the Payment Partnerships team, product development, product management, business operations, risk management, data infrastructure teams, and external partners.

Your day to day Responsibilities include:

Oversee a portfolio, market, or business unit, ensuring end-to-end ownership of transaction expense tracking across various factors while managing budgets and forecasts.
Take full ownership of responsibilities, including developing quick and effective solutions as needed.
Collaborate with cross-functional teams to understand business dynamics and adopt a data-driven approach to create impactful stories that influence stakeholders.
Analyze regulations, network mandates, and bulletins to assess their impact and prioritize accordingly.
Demonstrate strong self-motivation by establishing cadences with partners and driving innovative solutions to address market requirements.
Proficient in Hadoop, SQL, Tableau, Power BI, and Excel, with the ability to create solutions and generate data insights as needed.

Familiarity with Python and other analytics tools is a plus.
Develop and track KPIs used to monitor the overall health of their area of work for transaction expense understand the impacts on Revenue, Margin and Pricings. The scope includes understanding different funding instruments and their costs differ.
Take a hands-on approach to obtain the right business context, understand the data schema, and develop flawless solutions to reduce costs and work on budgeting and forecasting with cost increases vs benefits that we have.
Develop, automate, and maintain solutions using Tableau/Power BU and ensure timeliness and accuracy of metrics in the solutions.
Collaborate with business operations and product teams, prioritize high impact needs to be implemented by Product and Engineering. And maintain an operating rhythm and accountability to identify and resolve product performance issues.
Develop a strong relationship with the data infrastructure team and provide oversight to the implementation of data quality and data integration solutions across the organization, drive innovative solutions to improve data/analytics quality, data visualization, and automation and scalability of reports and dashboards.
Quantify impact of any product degradation on key metrics and communicate the potential customer/financial impact to stakeholders in a clear and concise manner.
Develop standardized methodologies and templates (includes metrics discovery, segmentation, benchmarking, time-periods, etc.) so that products can be launched and tracked in an efficient manner across regions. standardize way to measure and track product launches or enhancements to existing products across different markets.
Work with Product managers to establish thresholds for new and existing key performance indicators (KPIs), communicate findings/anomalies on financial KPIs

What do you need to bring-

Total experience: 7 to 10 years in Finance and Analytics.
Must skills: Python, SQL, Visualisation tool (Tableau/Power BI), Hadoop, Hive, Financial Analysis, Budgeting, Microsoft Excel,
Successful candidates will possess exceptional business judgment, strong analytic skills, and superb communication skills. They must have a passion for living in the data and be comfortable rolling up their sleeves to get into the details of the analysis, as well as being able to synthesize and provide high-level thought leadership.
This role need an exceptional skills on Financial KPIs, Analytics, Business understanding Technical lenses to fulfill their role demands.
Proven track record of utilizing a data-driven approach to solve ambiguous business problems and delivering business and operational impact.
Requires strong technical and analytical skills to translate complex transactional data into valuable and insightful information.
Significant experience Hadoop, SQL and reporting tools (Power BI and Tableau) is required. Python, Hive and additional Data bases and automation technologies are required.
Bachelor s/Master s degree preferably in a quantitative field (statistics / Finance / Analytics / Data Science).