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CyberTec

CyberTec is hiring: Senior Data Analyst in Houston

CyberTec, Houston, TX, United States, 77246


Hybrid, at least once per week, WEDNESDAY in office.
LOCAL Candidates ONLY
Role: Senior Data Analyst
Duration: 3+ months with extension
Location: Houston, TX
Interview: Video
Client: United Airlines
Rate: $58/hr. on c2c
Top 5 Skill sets
1. SKILL: Data Analysis and Exploration
2. SKILL: Gathering Business Requirements, Building metadata schema by doing data profiling
3. SKILL: Structured Query Language and Database Management
4. SKILL: Problem-Solving
5. SKILL: Communication and Stakeholder management

Redesign and build customer self-service data in United Data Hub ( centralized data warehouse) to enhance customer experience in lobbies and promote NPS

Job Summary:
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.
Primary 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, Client terms.
  • High-level experience in methodologies and processes for managing large scale databases.
  • Demonstrated experience in handling large data sets and relational databases.