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Financial Data Analyst, Mexico, Remote

Remote: 
Full Remote
Salary: 
3 - 48K yearly
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

5 years experience in Data Analytics, Proficiency in Excel, Tableau, SQL.

Key responsabilities:

  • Optimize data-driven decision-making processes
  • Develop advanced data analysis frameworks
Fundraise Up logo
Fundraise Up Scaleup https://fundraiseup.com/
51 - 200 Employees
See more Fundraise Up offers

Job description

Highlights

  • OTE (On-Target Earnings): $42,000 - $48,000
  • Base Salary: $37,800 - $43,200
  • Location: remote in Mexico
  • Stock options

About Us

At Fundraise Up, we are reimagining the fundraising platform to create the most convenient and fastest way to donate to non-profit foundations. Our innovation is aimed at enhancing loading speeds, boosting conversion rates, offering diverse payment methods, and more. Each month, individuals worldwide donate tens of millions of dollars through our platform. We are the go-to fundraising solution for some of the world's leading non-profit organizations. The UNICEF, Barack Obama, the Alzheimer's Association, and many others leverage our platform for their online fundraising needs.

About The Role

We are seeking a skilled Financial Data Analyst to enhance our financial analytics and revenue metrics. In this role, you will optimize data-driven decision-making processes, ensuring the accuracy and integrity of our financial data. You will develop advanced data analysis frameworks and manage our financial dashboards for real-time tracking of key metrics. This position requires strong project management skills and a strategic mindset to drive our business forward.

Key Responsibilities

  • Own and manage main Revenue metrics of company - ARR (Internally called Analytical ARR or AARR), Run Rate, Processing Volumes / GMV
  • Gut, redevelop, maintain and improve ARR complex algorithm 
  • Own Financial Analytics Tools (Primarily using Tableau, Salesforce, Google Sheets)
  • Own Financial Dashboards (including but not limited to Company Wide KPI Dashboards, Board of Directors and Leadership dashboards)
  • Support FP&A team in external Financial Reporting for Key Metrics and Analytics (Cohort Analysis, Net Retention Analysis, etc.)
  • Support Finance related Data Hygiene, Alignment, and Reconciliation across Tools across company (Finance, GTM, Product)

Skills and Qualifications

  • 5 Years experience in Data Analytics, 
  • Proficiency in Data Analysis Tools (such as Excel, Tableau, SQL, or Python)
  • Knowledgable in Data Management tools (DBMS) and data warehousing concepts
  • Excellent sense of organization, project management, timeline management and work prioritization
  • Experience with Finance Analytics, but engaged with RevOps Analytics and Product Data analytics teams before
  • General understanding of Financial Metrics, Accounting, FP&A responsibilities
  • Experience working across cross functional data analytics teams
  • Experience with GTM and Sales Tools (Salesforce)
  • Experience working in a high growth tech start-up

Benefits

Our compensation package includes comprehensive benefits and perks, meaningful equity, and a competitive salary:

  • 30 days off.
  • Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
  • English learning courses (50% reimbursement, up to $1,000 annually).
  • Relevant professional education (50% reimbursement, up to $1,500 annually).
  • Gym or swimming pool (50% reimbursement, up to $500 annually).
  • Coworking (up to $250 monthly).
  • Remote working.

**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Prioritization

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