Data Financial Analyst

Job Details

We are looking for a passionate Data Financial Analyst with demonstrated knowledge of product analytics, data modeling, and reporting for the small-medium business market. You will have the opportunity to influence key strategic decisions by sharing insights with company leadership and our clients – the biggest banks and financial institutions of the world. As a member of the Product development department, you will belong to a cross-functional Agile team who partners closely with the Project management office.

Job Responsibilities

– End-to-end experience implementing multiple large-scale software development projects
– Experience building monitoring systems or dashboards
– Desire to learn data science topics such as machine learning, anomaly detection, classification, or regression
– Experience working with real-world inconsistent or incomplete datasets
– Natural curiosity to explore complex datasets and connect them to how the business is managed
– Experience investigating data, summarizing key learnings, and recommended follow-ups
– Experience building data visualizations and dashboards
– Experience with reporting & data visualization tools such as Google Data Studio, PowerBI, and Tableau
– Subject matter expert in at least one industry domain for serving American businesses (Accounting, Taxation, CRM, ERP, eCommerce, Banks, Marketing, Logistics)
– Vast knowledge of analytics tools for small-medium American businesses
– Strong understanding of Agile and Scrum methodology for SDLC
– Agile team collaboration (BA, Developers, Designers, Data Scientists, QA)
– Experience in Fintech, banks, or other financial institutions
– Experience in system integration processes, using API
– Strong SQL skills (MySQL, PostgreSQL, ClickHouse, etc.)
– Experience in working with JIRA and Confluence tools
– Excellent communication, collaboration, and leadership skills

Job Requirements

– Effectively mine data sources and provide relevant information in an easily consumable manner. This includes acquiring, storing, managing, and sharing structured and unstructured data
– SMB performance, business & financial data analysis from all available data sources
– Participation in the full cycle of software development
– Development of standardization, reconciliation, valuation, and data enrichment models
– Suggestion of innovative solutions to business problems/processes that leverage technology to provide market advantage and better user experiences
– Close collaboration with internal stakeholders (product and tech) to shape backlog for the team