No vendors, no sponsorship for this role, directly with the candidate, you must be able to accept a full-time job, and be physically located in the USA.

Title: Data Analyst

Location: 100% Remote

Direct Hire

Salary: $110,000 - $120,000/year + 10% Bonus + Benefits

From the hiring manager:

• Excellent communication skills 

• I am looking for a candidate who can design, develop, and deploy analytics solutions.

• MUST have experience working with Master Data Assets

• Experience automating workflows

• Experience with Python scripting  

• There will be a test in master data assets with a coding/scripting part - you need to test, debug, and explain what you did

Overview

• The Data Analyst will be responsible for ensuring the accuracy, consistency, and reliability of data used across the organization, particularly for analytics and decision-making.

• This role involves identifying and resolving data inconsistencies, implementing data quality standards, and collaborating with stakeholders to maintain high-quality data governance practices. 

Job Responsibilities: 

• Support the creation and enhancements of all needed Master Data Assets 

• Conduct continuous improvement of Master Data Asset backend queries and data pipelines 

• Assess and monitor data quality across multiple data sources and reporting systems. 

• Identify data inconsistencies, duplicates, missing values, and errors in structured and unstructured data. 

• Help implement the company’s Data Governance Program, working with stakeholders to define and enforce data validation rules and business standards. 

• Experience with data cleansing processes to correct errors and inconsistencies. 

• Conduct periodic data audits to ensure regulatory and business alignment. 

• Work closely with Data Engineers, BI Analyst, and Business Teams to resolve data issues. 

• Investigate root causes of data discrepancies and work on solutions to prevent future issues. 

• Generate reports on data quality trends, issues, and improvements for leadership. 

Qualifications 

• Bachelor’s degree or higher in computer science, data science, statistics, or a related field  

• 4+ years of experience with data quality, data governance, data cleansing, or a similar role. 

• 2+ years of experience with statistical and general-purpose programming languages for data analysis practices   

• Experience leading projects and deliverables  

• Experience in presenting to leadership to get guidance and propose business cases   

• Exceptional communication and presentation skills, with the ability to convey complex ideas in a clear and concise manner 

• Experienced with some programming languages: R, SQL, DAX, Python and relevant libraries like Pandas, PyTorch, Tensorflow, etc.  

PLUS

• Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources   

• Experience in using data governance tools such as Talend or Informatica  

• Experience with data architecture for CoPilot deployments preferred 

• Experience with APIs and Data engineering concepts