Senior Data Analyst

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.