Position: Data Financial Analyst
Company: upSWOT
Category: Data Analyst
Experience required: 2y
English level: upper

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.

**Requirements**
- 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

**Responsibilities**
- 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

**Benefits:**
• Possibility to grow within a multicultural work environment with a flat structure and direct, informal communication
• Flexible working environment
• Full-time employment
• Remote work
• 4 working days week