

Mid Level Data Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Mid Level Data Analyst in Philadelphia, PA, on a contract basis with a competitive pay rate. Key skills include SQL, data loading tools, and Master Data Management. Experience in asset-intensive organizations and Scrum methodology is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
June 12, 2025
π - Project duration
Unknown
-
ποΈ - Location type
On-site
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
Philadelphia, PA
-
π§ - Skills detailed
#RDBMS (Relational Database Management System) #Scrum #MDM (Master Data Management) #Data Management #Data Engineering #Data Analysis #MS SQL (Microsoft SQL Server) #Oracle #SQL (Structured Query Language) #PostgreSQL #Jira #MySQL #Sybase
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
Lensa is the leading career site for job seekers at every stage of their career. Our client, TWO95 International, is seeking professionals in Philadelphia, PA. Apply via Lensa today!
Job Title β Mid level Data Analyst
Location β Philadelphia, PA
Position β Contract
Rate β ($Best possible)
We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.
Requirements
β’ Hands-on experience with data loading tools (MXLoader preferred)
β’ Hands-on experience loading data in an asset intensive organization
β’ Understands Master Data Management concepts
β’ SQL Experience
β’ Experience with major RDBMS: DB2, Oracle, PostgreSQL, MySQL, MS SQL, Sybase
β’ Experience of Scrum methodology
β’ Experience building asset based data models in Excel
β’ First class stakeholder management
Nice-to-haves
β’ Experience using project collaboration tools (Atlassian: JIRA & Confluence, Slack, Teams, etc)
β’ Data engineering experience with a major Rail organization