Top Data & Analytics Jobs

Provide Oracle DBMS consulting: architect and design database solutions, optimize and write SQL, benchmark performance and present findings, use code versioning (Git/SVN), perform basic Unix/Windows administration and system monitoring. 6+ month contract in West Valley City, UT.

Lead business and data analysis for catalog merchandising programs: gather and prioritize requirements, partner with stakeholders, design solutions, optimize programs using SQL and BI, manage roadmaps and project plans in an Agile SDLC, and mentor team members.

Design and develop ETL workflows using Informatica to implement data warehousing solutions, data migration, and data cleansing. Build data warehouse systems with RDBMS and ETL tools, follow SDLC processes, and collaborate across teams. Requires problem solving, decision making, domain expertise, enterprise application understanding, and strong presentation and communication skills.

Design, build, operate scalable real-time data processing systems. Own system architecture and technology selection. Support product stakeholders by delivering data-driven products, collaborate with UI/UX for large-data visualizations, and incorporate customer needs.

Administer and maintain Microsoft SQL Server databases, clusters, and data warehouses. Design end-to-end database solutions, perform data modeling, metadata analysis, and ETL using SSIS. Support BI tools (SSRS, SSAS), manage file transfers (FTP), and ensure data warehousing best practices.

Lead design and implementation of master data and MDM/MDG solutions, including data governance models, MDG data modeling/configuration, ABAP OO development (BOL/GENIL, Web Dynpro), ETL and data warehouse loading/validation, testing, and performance/integration support.

Lead Data Engineer/ETL role requiring 5-10 years of Informatica ETL experience. Responsibilities focus on BDM, TDM, data quality, big data, data warehousing, and star schema design. Strong verbal and written communication and a technical bachelor’s degree required. Unix experience is a plus.

Develop and maintain applications to ingest, process, and publish content. Perform data normalization using tools like Kapow and Temis. Use ETL and NLP to structure unstructured data, extract entities with regex, research libraries and terms to improve automated structuring, and collaborate in a small self-directed team.

Design, develop, and optimize BI systems including ETL, tabular cubes, and Power BI reports. Analyze performance bottlenecks, troubleshoot system failures, and contribute to process and project planning.

Design logical and physical data models for large data warehouses, perform data profiling and domain modeling, optimize database performance for OLAP/BI systems, collaborate with business teams to gather requirements, and implement solutions using SSIS and Oracle/SQL.