Finance Analyst

In this role, you will:

• Participate in functions related to financial research and reporting

• Forecast analysis of key metrics, as well as other financial consulting related to business performance, operating and strategic reviews

• Identify opportunities for process improvements within the scope of responsibilities

• Research moderate to complex financial data in support of management decision-making for a business

• Create and communicate various activities such as product pricing, product, and portfolio performance

• Exercise independent judgment to guide key metrics forecasting, closing data and validation

• Present recommendations for resolving all aspects of delivering key forecasting projections as well as financial reporting to support monthly and quarterly forecasting

• Develop expertise on reporting that meets brand standards and internal control standards

• Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals

Required Qualifications:

• 2+ years of Finance experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Degree in Accounting or Engineering with Data Science or higher in business administration, Project management certification

• Strong 6-8 years of experience in projects involving data sourcing, data integration, performing related data study, Gap analysis of Data elements between the key reports and Data available in the Application to aid adoption of new System for achieving the larger objective of FTO to eliminate Data redundancy, standardize data and establish single source for Finance Use cases as medium term priority and Non-Finance Use cases as the long term priority by performing the above activities in financial services industry or equivalent demonstrated through the following – work experience, training, and education.

• Knowledge and understanding of Data warehouse, database querying using SQL or similar querying methods.

• Experience in Project management related to Data sourcing, establishing Data integrity controls and Data analysis to enhance quality.

• Experience in Microsoft Office skills, writing Structured Query Language (MS_SQL) and basic knowledge in Python and Power Bi

• Experience in working as part of highly agile transformation/change management teams.

• Strong analytical skills with high attention to detail and accuracy

• Excellent verbal, written, presentation and interpersonal communication skills.

• Knowledge and understanding of financial services industry, with emphasis on Capital Market products

• Strong organizational, multi-tasking, and prioritizing skills as projects involve interaction with Senior leadership groups

• Experience in scenarios where Problem solving and Critical thinking are demonstrated

• Ability to come up with solutions where minimal information is available through connecting the dots and collaborating with Upstream, Data domains, Technology & Downstream users

• Ability to train and guide team members and manage transformation initiatives to optimize operational effectiveness and efficiencies.

Job expectations:

• Work in agile teams using scrum methodologies for product development that facilitates activities and Projects related to Applications support in Finance Data Operations.

• Collaborate and consult with peers, colleagues, product owners, stakeholders, and leadership to serve Downstream User community’s Data needs by achieving product vision.

• Use Analytical skills and Project Management techniques to support data integration, minimum curation to facilitate production of reports that enables Regulatory Report submission and analysis, insights gathering to support decision making by Management.

• Use data analysis techniques by interacting with SQL platforms to aid data sourcing from multiple Data domains.

• Spearhead efforts in identification of Risk and implementation of controls, documentation of our consolidated reporting and control architecture, establishing an effective and G&O compliant architecture for daily financial reporting.

• Face off with internal and external audit and COSO for a high-risk application as defined under operational risk guidelines.

• Have a robust understanding of relational databases where the Analyst will need to analyze large volumes of data via SQL queries to aid Gap analysis as part of Data study to eliminate Data redundancy and overlap between source domains.