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CyberTec

Senior Data Analyst

CyberTec, Houston, Texas, United States, 77246


Hybrid, at least once per week, WEDNESDAY in office.LOCAL Candidates ONLYRole: Senior Data AnalystDuration: 3+ months with extensionLocation: Houston, TXInterview: VideoClient: United AirlinesRate: $58/hr. on c2cTop 5 Skill sets1. SKILL: Data Analysis and Exploration2. SKILL: Gathering Business Requirements, Building metadata schema by doing data profiling3. SKILL: Structured Query Language and Database Management4. SKILL: Problem-Solving5. 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 dataAnalyzing resultsReporting the results back to the relevant members of the businessIdentifying patterns and trends in data setsWorking alongside teams within the business or the management team to establish business needsDefining new data collection and analysis processesQualifications:

Technical Degree or related work experienceAbility 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.