Data Analyst Supplier Quality Engineering (Integrated Supply Chain) Location: Remote (Travel as in when required) VISA: USC and GC Must Have : SQL Database, Data analytics including Data ETL preferably with Alteryx tool Data reporting and visualization with Tableau and/or Power BI. Supplier Quality Engineering (SQE) SQL Database Dashboard, Visualization and Reporting, with Tableau and/or PowerBI Data Extraction, Data Transformation and Data Loading with Alteryx or comparable ETL Ex
|
 |
Role: –Business/Data AnalystBill Rate: $80/hour C2CLocation: Richmond, VA Duration: 12+ months/ long-term Interview Criteria: Telephonic + ZoomDirect Client Requirement
Skills:Excel spreadsheets Required 5 YearsKnowledge of data warehouses Required 5 YearsAbility to assess data validity and reliability Required 5 YearsExperience conducting data source / system reviews Required 5 YearsAbility to analyze both structured and unstructured data Required 5 YearsExperience evaluating business process
|
 |
Data Analyst
Location: Raleigh, NC (4 days onsite)
Job Description :
Strong data analysis skills with the ability to work across multiple data sources
Ability to create and maintain Data Lineage documentation
Experience performing data mapping activities
Familiarity with data models and data modeling concepts
Understand DB tables like PF, FK indexes.
Experience in data profiling and documenting end-to-end processes for data ingestion into systems
Ability to compare data generat
|
 |
Role: –Data AnalystBill Rate: $80/hour C2CLocation: Tempe, AZDuration: 12+ months/ long-term Interview Criteria: Telephonic + ZoomDirect Client Requirement
Essential Duties:Strategic Thought Leadership
Partner with UC leadership to identify long-term data and reporting needs.
Collaborate with the Student Experience Architect to ensure consistent, aligned, and customized data collection and reporting for flourishing-based practices across programs serving diverse and high-need student pop
|
 |
LoanIQ Data Analyst
Customer: Mizuho
Work Model: Hybrid 3 days/week onsite (NY/NJ)
Role Overview
We are seeking an IT Data Analyst with strong LoanIQ expertise to support data analysis, reporting, reconciliation, and system integration initiatives acrosssyndicated loans and commercial lending platforms.
Core Skills (Mandatory)
Strong hands-on experience with LoanIQ:
Data analysis, reporting, or application support.
Advanced SQL skills:
Oracle / SQL Server / PostgreSQL
|
 |
Company Description
Datsura specializes in solving complex business challenges by combining advanced data analysis techniques with deep business domain expertise. We utilize statistics, modeling, programming, and distributed processing to analyze and process large, diverse data sets.
Location: Remote (US-based only)
Position Overview
We are seeking an experienced Senior Data Analyst with deep expertise in TransUnion credit data and lending analytics. You'll build scalable da
|
 |
JD:
Experience:
Insights Delivery/ Reporting/dashboarding/visualization
Experience in SAS, Tableau, SQL, Python
Should have ability to understand domain, data, and insights generation methodology
Create assets/templates and identify optimization opportunities in terms of re-pointing, eliminating redundancies and improving the development process
Should be able to use the data through SQL for discovery prior to working on thereporting/dash boarding/visualization.
Data discovery, Dat
|
 |
Technical Program Manager
technologies is looking for a Technical Program Manager with Azure / Cloud Data and Databricks to join our onsite delivery team to manage program which will have multiple projects for effective execution. Lead portfolio of customer projects for successful delivery. Provide overarching support and thought leadership to project teams, provide value add and enable new business opportunities, support account team for overall growth of the account. Be the face of and ex
|
 |
Key Responsibilities
Perform deep-dive data analysis to uncover patterns, operational risks, and new business opportunities
Validate data quality by checking completeness, accuracy, and consistency across multiple sources
Build, automate, and optimize large datasets to support advanced analytics, data mining, and visualization efforts
Conduct exploratory analytics and create meaningful dashboards and reports tailored to business needs
Act as a thought leaderrecommend insights, hypoth
|