Senior Data Analyst

Signify Technology; Charlotte (NC); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Signify Technology is seeking a Senior Business Data Analyst for a 12-month extendable contract with hybrid work in Charlotte, NC. You'll pull data across the business to create a single, reliable performance view and translate findings into actionable recommendations for senior leaders.

Requirements include 5+ years in quantitative analytics, advanced SQL, and hands-on Python or R; experience standardizing metrics, building executive dashboards in Tableau, and using Splunk.

Qualifications

• 5+ years in a quantitative role such as business analytics, data analytics, BI, or strategy analytics.
• Advanced SQL and hands-on Python or R.
• Experience combining data from multiple systems and standardizing metrics across the organization.
• Experience building executive dashboards and data storytelling.
• Ability to use AI tools to speed up analysis, while ensuring data privacy.

Skills

Advanced SQL

Python or R

Data integration across systems

AI tooling for analysis

Tableau/BI visuals

Splunk

Data storytelling

Business judgment

Tools

Tableau

Splunk

Python

R

SQL

Job description

Senior Business Data Analyst - 12 months extendable contract (or can convert to FTE)

Hybrid in Charlotte, NC

W2 only, no C2C, no sponsorship, no third parties.

About the job:

A leading financial technology company is looking for a Senior Business Data Analyst to join its analytics team. You'll pull together data from across the business to build a single, reliable view of performance, then turn what you find into clear recommendations for senior leaders.

Requirements

• 5+ years in a quantitative role such as business analytics, data analytics, BI, or strategy analytics
• Advanced SQL, plus hands‑on experience with Python, R, or a similar analytical language
• A record of combining data from separate systems and business units, and of standardizing metrics and definitions across the organization
• Hands‑on use of AI tools to speed up analysis, automation, or development work, with good judgment on validation, data privacy, and responsible use
• Experience building dashboards and executive‑facing visuals in Tableau or a similar BI platform
• Working knowledge of Splunk or a similar tool for analyzing product, operational, or event data
• Strong data storytelling, with the ability to present findings clearly to both technical and non‑technical audiences
• Sound business judgment and the ability to link analysis to strategic priorities and commercial results