Data Analyst

Description

We are looking for a meticulous Data Analyst to join a manufacturing organization in St. Louis Park, Minnesota on a Long-term Contract assignment. In this role, you will examine complex customer records, verify company connections through research, and create clear account hierarchies that improve data quality and usability. This position is well suited to someone who enjoys investigative analysis, works carefully in Excel, and can bring order to high-volume information with consistency and accuracy.

Responsibilities:
Analyze customer data files in Excel to identify organizational relationships and map links between parent companies, subsidiaries, and related entities.
Research publicly available sources to confirm ownership structures, legal relationships, and account alignment across business records.
Build accurate company hierarchies for priority accounts and organize findings into a format that supports reliable business use.
Clean and standardize inconsistent customer information so records can be used more effectively by downstream teams and platforms.
Prepare validated datasets for transfer into business systems, including Salesforce and enterprise data repositories.
Work closely with internal stakeholders to align on hierarchy rules, data handling methods, and account research outcomes.
Apply established procedures while managing detailed investigative tasks independently and maintaining a high level of accuracy.
Support data improvement efforts tied to source information from Snowflake and other organizational systems, using Excel as the primary working tool.

Requirements

Demonstrated ability to work accurately with large datasets and maintain strong attention to detail in repetitive, detail-heavy tasks.
Practical experience using Excel for data review, organization, updates, and file-based record management.
Ability to perform internet-based research and reconcile information from multiple sources to confirm corporate relationships.
Understanding of how businesses are structured, including parent-child ownership models and related entity connections.
Capability to follow defined processes, accept direction, and deliver consistent results within established guidelines.
Detail-oriented, dependable work style with the focus needed to manage precise analytical assignments.
Background in data analysis, fraud investigation, fraud analytics, anti-fraud work, or other research-driven analytical environments is valued.
Prior exposure to customer master data, hierarchy creation, data governance, or account cleanup projects is preferred.

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