Data Analyst

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Cary, NCAustin, TX
Employment: Full-time
Posted: 49 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $141k

$87k $186k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $120,000–$162,000.

Based on 240 similar postings.

Employer

About Q2

Q2 Holdings is a cloud-based banking software company providing digital banking solutions to banks, credit unions, and alternative financial companies, including consumer and business banking platforms. Industry: Financial Technology & Digital Banking

Q2 currently has 43 open roles on FindRole.

Most-posted roles

View all roles at Q2

At a glance

TL;DR · Data Analyst

Role Posting Log in to save

JOB TITLE: Data Analyst The Data Analyst joins the Fraud Intelligence team to help customers proactively manage business risks and combat fraud. In this role, you will develop a deep understanding of customer fraud challenges by collaborating with Product, Engineering, and Fraud Response partners to identify and close product gaps. Your daily responsibilities include tracking trends in fraud cases, advising on product enhancement priorities, and working with internal tooling and engineering teams to build necessary protections. You must possess a statistical background to draw conclusions from complex data, experience using AI tools, and familiarity with data visualization tools. The role requires the ability to communicate findings to both technical and non-technical audiences. Preferred skills include proficiency in Python, SQL, and experience within the financial industry or fraud prevention products.

What does a Data Analyst earn?

Median $126775 from 72 postings across 23 companies.

See salary data

Skills

Python SQL AI Tools Data Visualization Fraud Prevention

What you'll do

Identify and close gaps in fraud products by working with Product, Engineering, and Fraud Response partners.
Track trends in fraud cases to advise on the prioritization of product enhancements.
Work with internal tooling and engineering teams to build fraud protection for customers.
Develop a deep understanding of customer needs and specific fraud challenges.
Draw sound conclusions from complex data using a statistical background.
Communicate data findings effectively to both technical and non-technical audiences.
Use data visualization tools to present information clearly.
Utilize AI tools to perform analysis and support team goals.

What we're looking for

Must have 5+ years of experience as an analyst or in a similar role.
Must have experience using AI tools in professional work.
Must have a statistical background and the ability to draw sound conclusions from complex data.
Must have familiarity with data visualization tools.
Must have the demonstrated ability to effectively communicate findings with technical and non-technical audiences.
Must be fluent in written and oral English.
Must be authorized to work for any employer in the U.S.
Experience with Python, SQL, or other programming languages (preferred).
Experience communicating with customers (preferred).
Familiarity with the financial industry, banking, and fraud prevention products (preferred).