Job Title - Business Intelligence and Data Management specialist and Architect
Job Location - Houston, Texas
Job Tenure - 6+ Months
Role Description:
Provide technical leadership in designing and developing scalable enterprise data architecture, overseeing the design, development, implementation, and quality assurance of Business Intelligence applications.
Role Accountabilities
Develop and implement a scalable and comprehensive enterprise data architecture that streamlines data management,
facilitates integration, and enhances business intelligence capabilities
Develop and implement data governance policies to guide data management practices. Ensure and maintain the integrity and reliability of data across systems.
Partner with cross-functional teams to overcome data challenges and improve process efficiency
Design, build, implement, test, and maintain scalable data warehousing systems
Design and develop BI using advanced analytic techniques to drive improved insights and reporting
Monitor data performance and adjust infrastructure to ensure optimal functionality
Develop dashboards based on business requirements following industry best practices and approved methodologies
Identify key trends and patterns via analysis of internal and external data associated with the performance of the company and report to management
Gather pertinent information from authorized sources to assess project requirements as related to assigned scope of work
Design, implement, test, deploy and document system configurations, as a subject matter expert on cross-functional teams, leading a team as necessary
Verify data accuracy and integrity when sourcing and curating data from the Company’s business systems into data models
Provide technical consulting to users regarding BI and development
Implement best practices in data architecture and data management across the organization
Identify and define interfaces to other software applications and functions
Ensure software module configurations integrate successfully with existing system configurations
Plan and execute productivity enhancements or product deployment projects
Resolve internal and/or external client issues with the application software, escalating as necessary to appropriate personnel General Employee Accountabilities
Bring full effort to bear on tasks assigned by manager
Give manager best advice
Give earliest notice when work cannot be delivered as specified
Cooperate and collaborate with peers and interact cross-organizationally as specified by manager
Exemplify Company Core Values: Integrity, Client Focus, Team Orientation, and Personal Commitment
Comply with all Company policies, practices, and procedures and all regulations and laws
Recommend viable improvements proactively
Ensure effective utilization of business tools and processes
Minimum Qualifications:
Bachelor’s degree in computer science or computer applications, or related field or equivalent education/experience
8 years of experience with at least one of the following: enterprise Business Intelligence tools, Oracle Analytics Cloud,
Power BI, Tableau or Qlik
6 years of experience in ETL, Data Warehouse, Data Lakes, Data Analysis, Data Architecture, and Data Modeling
4 years of experience in transforming raw data into actionable business intelligence visualizations and interactive
dashboards
4 year of experience in design and deployment of enterprise applications, through project life cycles
Demonstrated experience in designing, building, and maintaining scalable and efficient ETL pipelines to support data
collection, integration, and transformation needs
Demonstrated experience with data mapping, data flows, and data science techniques
Demonstrated ability to deliver a project or multiple projects on time, from concept through deployment
Demonstrated successful working relationships with clients, suppliers, and other internal and external contacts
Demonstrated successful and positive personal leadership, interpersonal, organizational, administrative, and communication skills
Demonstrated continuous improvement in areas of responsibility
Proficiency with SQL
Proficiency in working with large complex data sets
Proficiency in Microsoft Excel, Word and Outlook
Availability to travel domestically and internationally, less than 5%
Preferred Qualifications:
Demonstrated expertise in Oracle eBusiness Suite Applications configuration in an Oracle Financials, Project Accounting,
or Manufacturing environment
Demonstrated experience in accounting and financial analysis
Demonstrated experience in Oracle PL/SQL and Python
Demonstrated experience in Oracle ADW and Oracle Business Intelligence tools
Knowledge of Oracle EBS database schemas and tables
Demonstrated experience in Oracle Sales & Service Cloud, Oracle Apps R12, Oracle Fusion Applications
Demonstrated experience in AI and ML frameworks
Demonstrated experience in software development methodologies
Certification in BI, Data Science, or Data Analytics