Senior Data Analyst
Senior Data Analyst on FalconX's Finance Transformation team, partnering with treasury, accounting, and FP&A to build automation, data pipelines, and reporting infrastructure for the finance function. Core stack includes Python, SQL, data visualization, and data lakes, grounded in GAAP accounting knowledge.
- Compensation
- $128K–$162K / yr
- Location
- New York City, NY
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data analytics
- Posted
Skills
Must have
- 5+ years of relevant experience in audit, finance, finance transformation, big data, project management, or accounting within financial services
- Firm understanding of GAAP accounting principles, with familiarity in GL/subledger design and mapping transactional data to journal entries
- Strong command of data wrangling tools and scripting languages (e.g., Python, SQL)
- Project management experience, including Agile methodologies
- Excellent analytical skills to evaluate issues of varying complexity and propose solutions
- Excellent documentation and communication skills
- Ability to prioritize and manage challenging deadlines
- Passion for cryptocurrency, web3, and blockchain technology
- Bachelor's degree in Accounting, Finance, Information Systems, or related field
- SQL or Python coursework or hands-on experience
Nice to have
- Crypto, prime brokerage, or Big 4 experience
- Prior prime brokerage or broker-dealer experience
- CPA professional license
Full description
Who are we?
FalconX is a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges: Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, structures, and liquidity found in conventional financial markets. As a comprehensive solution for all digital asset strategies from start to scale, FalconX operates as the connective tissue empowering clients with seamless navigation through the ever- evolving cryptocurrency landscape.
About the Role
The Finance team at FalconX manages the firm's liquidity, capital, and risk, and provides the financial controls and reporting that support executive decision-making, compliance, and audit readiness. The Finance Transformation team sits within Finance and is responsible for business process engineering, technology enablement, and data analytics that drive efficiency across the function.
We're looking for a Senior Data Analyst to help shape the future of the Finance organization. In this role, you will partner with treasury, accounting, and FP&A teams to build automation, improve data quality, and deliver the analytics and reporting infrastructure that Finance relies on to scale with the business.
What You'll Do
- Partner with Finance Data Analytics teams to design and build automation across existing processes in GL, treasury, accounting, FP&A, and other Finance functions
- Develop current-state operating model assessments and business process flows to identify gaps and opportunities for improvement
- Support process transformation initiatives, including technology and systems integrations and development
- Build dynamic data visualizations and reporting that support management decision-making
- Perform data analysis and investigation on Finance use cases, liaising with cross-functional partners to resolve issues
- Ensure high data quality, integrity, and auditability across all data analysis and reporting operations
- Build scalable, reliable data pipelines that collect, transform, load, and curate data from internal systems and databases
- Support the design and deployment of Finance data lakes that serve as a central source of truth for reporting and analysis
- Develop automation to push Finance data solutions toward real-time wherever feasible
- Evaluate new technologies and build prototypes to continuously improve Finance data analytics operations
- Develop a comprehensive understanding of the needs of Finance, Data, and key stakeholders to inform product specifications and requirements