Senior Data Analyst

FalconX•New York, NY

10d•$128,000 - $162,000

About The Position

FalconX is seeking a Senior Data Analyst to help develop the Finance organization’s automation, data quality, analytics, and reporting infrastructure. The role is part of the Finance Transformation team, which drives business process engineering, technology enablement, and data analytics across Finance. The analyst will partner with treasury, accounting, FP&A, and other teams to improve processes and build scalable data solutions that support the business as it grows. The role combines finance process transformation and analytics. It involves assessing current operating models, identifying opportunities for improvement, supporting technology and systems integrations, developing reporting and visualizations, investigating data issues, and ensuring that Finance data is accurate and auditable. The analyst will also help build data pipelines and Finance data lakes, develop automation toward real-time data where feasible, evaluate technologies, and translate stakeholder needs into product specifications and requirements.

Requirements

At least 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.
Familiarity with general ledger and subledger design and mapping transactional data to journal entries.
Strong problem-solving skills, including the ability to navigate uncertain or changing data sources, processes, and procedures.
Ability to combine strategic thinking with close attention to detail.
Excellent analytical skills to evaluate issues of varying complexity and propose solutions.
Strong command of data-wrangling tools and scripting languages such as Python and SQL.
Project management experience, including Agile methodologies.
Excellent documentation and communication skills.
Ability to prioritize and manage challenging deadlines.
Bachelor's degree in Accounting, Finance, Information Systems, or a related field.
SQL or Python coursework or hands-on experience.
Low ego, integrity, ownership, and grit.

Nice To Haves

Experience in crypto, prime brokerage, or at a Big Four firm.
Prior prime brokerage or broker-dealer experience.
CPA professional license.
Passion for cryptocurrency, Web3, and blockchain technology.

Responsibilities

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 improvement opportunities.
Support process transformation initiatives, including technology and systems integrations and development.
Build dynamic data visualizations and reporting to support management decision-making.
Perform data analysis and investigations for Finance use cases, working with cross-functional partners to resolve issues.
Ensure data quality, integrity, and auditability across data analysis and reporting operations.
Build scalable, reliable data pipelines to collect, transform, load, and curate data from internal systems and databases.
Support the design and deployment of Finance data lakes as a central source of truth for reporting and analysis.
Develop automation to move Finance data solutions toward real-time operation where feasible.
Evaluate new technologies and build prototypes to improve Finance data analytics operations.
Develop an understanding of Finance, Data, and stakeholder needs to inform product specifications and requirements.
Partner with Finance, Engineering, Systems, and other teams to define and deliver target-state processes.