Data Analyst Job at Mai Placement, Brooklyn, NY

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  • Mai Placement
  • Brooklyn, NY

Job Description

Data Analyst

Brooklyn, NY - 4 days a week onsite Fridays remote

100-135K

 

Position Overview:

We are seeking a strategic and hands-on Data Analyst to manage the reconciliation and analysis of financial and operational data across both product and payments. This role is central to ensuring financial accuracy and driving data-informed decisions for a mobile-based fintech platform. Reporting directly to the COO, this is a high-impact opportunity for an experienced analyst who thrives in a fast-paced, cross-functional environment.

The Ideal Candidate:

  • Highly analytical and inquisitive, with a strong ownership mentality

  • Strategic thinker who can also dig deep into raw data

  • Proven ability to work independently and cross-functionally

  • Communicates clearly with both technical and non-technical stakeholders

  • Adaptable and energized by startup pace and innovation

Key Responsibilities:

  • Reconcile transactional and payment data across internal systems and third-party platforms

  • Detect, investigate, and resolve data discrepancies across systems

  • Build and maintain dashboards in Power BI to monitor performance and financial integrity

  • Track key metrics for mobile app usage and financial flow

  • Provide actionable insights to Product, Marketing, Finance, and Engineering teams

  • Visualize trends and synthesize findings into digestible reports and presentations

  • Act as the analytics point person across departments

Qualifications and Must-Haves:

  • 4+ years in analytics, data science, or a similar data-focused role

  • Advanced SQL skills (preferably PostgreSQL)

  • Proficiency in Power BI (or similar BI tools)

  • Experience with financial/transactional data (fintech, payroll, or similar industry a plus)

  • Familiarity with monitoring tools (Datadog or equivalent)

  • Python or R proficiency for deeper data analysis

  • Strong communication and presentation skills

  • Understanding of full data lifecycle and how it drives product and financial outcomes

 

Email resume to: [email protected]

 

 

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