Data Analyst

Overview

Remote
$30 - $40
Contract - W2
No Travel Required

Skills

Big Data
Data Quality
Privacy
Microsoft Power BI
Python
Meta-data Management
TIBCO Spotfire
Tableau
Relational Databases
SAP ABAP
Data Integration
Visualization
Database
Data Collection
Software Design
Collaboration
Reporting
Management
Data Acquisition
SQL
Social science research

Job Details

The ideal candidate should have strong skills in:

  • Data warehousing
  • SQL
  • Analytical tasks
  • R programming
  • Social science Research experience

Duties:
A Data Analyst interprets data and turns it into information which can offer ways to improve a business, thus affecting business decisions. Data Analysts gather information from various sources and interpret patterns and trends as such a Data Analyst job description should highlight the analytical nature of the role. Once data has been gathered and interpreted, the Data Analyst will report back what has been found in a comprehensive study to the wider business/relevant colleagues.
Responsibilities:

Collaborate to design and develop schemas and data acquisition, transformations, and data integration.

Develop and utilize software to interface big data and relational solutions.

Design and implement solutions for metadata, data quality, privacy management.

Support and consult with the development staff.

Collecting and interpreting data

Analyzing results

Reporting the results back to the relevant members of the business

Identifying patterns and trends in data sets

Working alongside teams within the business or the management team to establish business needs

Defining new data collection and analysis processes

Qualifications:

Technical Degree or related work experience

Ability to analyze existing tools and databases and provide software solution recommendations.

Ability to translate business requirements into non-technical, lay terms.

High-level experience in methodologies and processes for managing large scale databases.

Demonstrated experience in handling large data sets and relational databases.

Experience with Visualization tools (Tableau, PowerBI, Qlik, Spotfire, SAS).

Experience coding in multiple 4th generation languages (e.g., SQL, ABAP, Python, R)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.