Senior Data Analyst

Signify Technology; Mountain View (CA); Hybrid; USD 120,000 - 150,000; Full time

Job summary

Signify Technology is seeking a Senior Business Data Analyst for a 12-month extendable contract in Mountain View, CA. The role is hybrid, with responsibilities to pull data across the business to create a single, reliable view of performance, then translate findings into actionable recommendations for senior leaders.

The candidate will leverage advanced SQL and Python/R to consolidate metrics, build executive dashboards in Tableau, and utilize Splunk for product and operational data analysis,

Qualifications

• 5+ years in quantitative analytics, data analytics, BI, or strategy analytics.
• Advanced SQL with hands-on Python or R experience.
• Experience unifying data from multiple systems and standardizing metrics.
• Hands-on use of AI tools to speed up analysis with data privacy considerations.
• Experience building executive-facing visuals in Tableau or similar BI tools.
• Strong data storytelling and ability to present to both technical and non-technical audiences.

Skills

Advanced SQL

Python

R

Data storytelling

Dashboards

Tools

Tableau

Splunk

Job description

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

Hybrid in Mountain View, CA

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