Remote FP&A Data & Automation Analyst

MIRA CONSTRUCTION L.L.C; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Remote work from anywhere

Global office access

Flexible schedule

40 paid days off

Job summary

MIRA CONSTRUCTION L.L.C is seeking a Financial Analyst to join the FP&A Team to analyze broker and exchange data, prepare analytical reports in Python, and optimize finance workflows.

You will collect and analyze trading data, maintain datasets, and automate workflows using Make, n8n, Workato or similar platforms, collaborating with Finance and cross-functional teams. Strong Python and MS Office skills, plus a finance or economics background, are required.

Qualifications

• BS/MS in Economics, Finance, CS or related field.
• Proficiency in Python and MS Office.
• Strong analytical thinking and attention to detail.
• Effective time management and prioritization.
• Strong written and verbal communication skills.

Responsibilities

• Collect and analyze trading data across exchanges and asset classes.
• Structure, organize, and maintain collected data.
• Perform reconciliations of financial trading data.
• Aggregate and process data using Python.
• Design, develop, and maintain automated workflows using no-code/low-code platforms (Make, n8n, Workato, or similar).
• Identify inefficiencies in processes and propose automation solutions.
• Collaborate with Finance teams and cross-functional stakeholders.

Skills

Analytical thinking

Attention to detail

Time management

English proficiency

Written and verbal communication

Education

BS / MS in Economics, Finance, Computer Science, or related field

Tools

Python

Make

n8n

Workato

Zapier

Job description

MIRA CONSTRUCTION L.L.C is seeking a Financial Analyst to join the FP&A Team to analyze broker and exchange data, prepare analytical reports in Python, and optimize finance workflows.

You will collect and analyze trading data, maintain datasets, and automate workflows using Make, n8n, Workato or similar platforms, collaborating with Finance and cross-functional teams. Strong Python and MS Office skills, plus a finance or economics background, are required.