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Finance Data and Analytics Business Analyst

K&K Global Talent SolutionsSunnyvale, CA🇺🇸United StatesPosted 10 Sept 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to leverage your expertise in Oracle Finance, Power BI, and SQL to drive impactful data-driven decisions within a reputable global talent solutions firm. You'll thrive in this position if you're a skilled Finance Data and Analytics Business Analyst eager to expand your analytical capabilities and contribute to significant projects. Apply today to join a dynamic team and advance your career!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Sunnyvale, CA, United States
Posted
Yesterday
ERPReconciliation

Job Description

K&K Global Talent Solutions Inc. is an international recruiting agency that has been providing technical resources in the Canada and the USA region since 1993.

This position is with one of our clients in USA, who is actively hiring candidates to expand their teams.

Job Title: Finance Data and Analytics Business Analyst

Location: Sunnyvale, CA

Position type: Full time/Permanent role

Job Description

Must Have Technical/Functional Skills

 

Oracle finance platforms;  enterprise data platform;  Power BI;  SQL and dimensional-modeling tools; Digital : Microsoft Power Platform

 

Roles & Responsibilities

Role Summary

Owns the requirements and design of the finance data layer feeding reporting, controls, and analytics and is accountable for keeping finance data reconcilable as it moves between ERP, satellite platforms, and the analytics estate.

 

Key Responsibilities

•             Specify ingestion and transformation requirements from ERP and finance platforms.

•             Maintain finance data-model definitions and master-data and hierarchy governance.

•             Design data-quality and reconciliation controls proving completeness between source and target.

•             Define continuous-control monitoring.

•             Shape AI-assisted analysis such as automated flux commentary.

•             Partner with LinkedIn engineering, which builds and operates pipelines, on standards and sequencing.

•             Determine whether discrepancies are data defects or accounting differences.

 

Required Qualifications

•             8+ years in finance data and analytics with deep finance-domain expertise.

•             Strong data literacy, including SQL and dimensional modeling.

•             Demonstrated record of designing reconciliation and data-quality controls.

•             Judgment to distinguish a data defect from an accounting difference.

 

Generic Managerial Skills, If any

Approval and exception workflows;  finance operations applications;  citizen development;  continuous control monitoring;  AI-assisted analysis and agent enablement

 

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