Fintech Data Insights & Visualization Analyst

Openkrill

United States

Remote

USD 65,000 - 95,000

Full time

6 days ago
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Job summary

MeridianLink is seeking a Data Analyst to drive business decisions through quantitative and qualitative data analysis and reporting patterns. You will collect, aggregate, and analyze data from multiple sources to uncover insights into performance and identify operational improvements.

You will partner with internal stakeholders to produce actionable reports highlighting KPIs and root-cause analysis. Expected to design intuitive visualizations, own the UX/UI across data products, and support the

Qualifications

  • Bachelor’s degree and 2-4 years of relevant professional experience (or equivalent work experience).
  • Hands-on experience with BI tools such as PowerBI or Tableau.
  • Experience with SQL is required.

Responsibilities

  • Collaborate to build intuitive data visualizations that offer deep and actionable insights against complex and dynamic business challenges in the Fintech space.
  • Own the UX/UI experience delivered to users across multiple data products.
  • Contribute to the design, development, and maintenance of business intelligence tools.
  • Help identify the business data needed to produce the most useful insights and future analytics.
  • Partner with stakeholders to communicate findings and recommend data-driven improvements to operations.

Education

Bachelor’s degree and 2-4 years of relevant professional experience (or equivalent work experience)

Tools

PowerBI
Tableau
SQL
Sigma
Python
R
Databricks

Job description

MeridianLink is seeking a Data Analyst to drive business decisions through quantitative and qualitative data analysis and reporting patterns. You will collect, aggregate, and analyze data from multiple sources to uncover insights into performance and identify operational improvements.

You will partner with internal stakeholders to produce actionable reports highlighting KPIs and root-cause analysis. Expected to design intuitive visualizations, own the UX/UI across data products, and support the

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