Sr. Data Warehouse Analyst

Masterapp Labs; Austin (TX); Hybrid; USD 96,000 - 138,000; Full time

Job summary

Masterapp Labs is seeking a Sr. Data Warehouse Analyst in Austin for a contract role. The candidate will architect and optimize data warehouse environments, plan data modeling, and coordinate with teams on data delivery and performance enhancements.

The role requires deep experience with warehouse design, ETL tools, and reporting platforms, ensuring data integrity and scalable data architecture across systems.

Qualifications

• 5 years of experience with database management systems and data warehouses.
• Experience in development, implementation and maintenance of data warehouses and data marts.
• Experience with data dictionary, and building and using analytical reporting tools.

Responsibilities

• Enter codes to create production databases and monitor performance.
• Direct programmers/analysts to modify database management systems.
• Ensure data integrity and optimize storage and retrieval strategies.
• Develop data models (star/snowflake) and advise on dependent systems.

Skills

Database management

Data warehousing

Data modeling

SQL

ETL tools

Informatica

WebSphere DataStage

Power BI

Business Objects

Cognos

Hyperion

MicroStrategy

Teradata

Oracle

SQL Server

Tools

Informatica

IBM WebSphere DataStage

PowerBI

Business Objects

Cognos

Hyperion

MicroStrategy

Teradata

Oracle

SQL Server

Job description

Job Title: Sr. Data Warehouse Analyst

Location: Austin, TX, (Hybrid)- 2 days remote with 3 days (Wed, Thurs & Fri) required to be onsite

Position Type: Contract

Interview Mode: By Phone & MS Teams

Job Description

• Enters codes to create production data base.
• Selects and enters codes of utility program to monitor database performance, such as distribution of records and amount of available memory.
• Directs programmers and analysts to make changes to data base management system.
• Reviews and corrects programs. Answers user questions.
• Confers with coworkers to determine impact of data base changes on other systems and staff cost for making changes to data base.
• Modifies data base programs to increase processing performance, referred to as performance tuning.
• Workers typically specialize in one or more types of data base management systems.
• Providing assistance in the planning, development, maintenance, and monitoring of integrated database systems, and ensuring that the conceptual and design phases of new applications are consistent with the structural parameters within the database environment.
• Evaluates users’ requests for new data elements and systems, incorporates them into the existing shared data environment, and provides technical assistance.
• Coordinates the use of data to ensure data integrity and control redundancy, loads databases, and reorganizes as needed.
• Performs data modeling and prototyping. Performs logical and physical data modeling, designs relational database models, and creates physical data models from logical data models.
• Performs security recovery procedures.
• Determines and implements database search strategies and storage requirements.
• Maintains data dictionary ensuring uniformity of definitions and sets standards for use of data dictionary.
• Monitors database performance and recommends efficiency improvements.
• Creates test database environment for applications section, including the creation of necessary libraries and procedures.
• Executes the procedures necessary to save, retrieve, and recover databases from hardware and software failures within established procedures.
• Assists with determining, implementing, and enhancing standards on database security and with monitoring agency disaster recovery procedures and systems.
• Assists with the installation of database software and with analyzing, designing, and implementing databases.
• Assists in benchmarking and threshold testing of databases and with establishing and controlling necessary database security.
• Assists in the selection of database management software.
• Experience in computer systems analysis or computer programming work.
• Knowledge of the principles, practices, and techniques of computer programming and systems design; of computer operations, systems, and procedures; of project control and cost estimating techniques; of computer programming languages; of data processing flowcharting techniques; of database structures and theories; and of current database technologies.
• Has working knowledge of EIR Accessibility standards and assistive technologies.
• Ensures that user interfaces for database administration and inputting, viewing, outputting data(via reports) are compliant with accessibility standards.
• Provides support to users in obtaining data / information when EIR Accessibility issues arise.

II. CANDIDATE SKILLS AND QUALIFICATIONS

• |—————————————————————————————————————————————————————————————————-|——————–|—————————————————————————————————————————————————————————————————————————————————————–|
• | Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. |
• | Years | Required/Preferred | Experience |
• | 5 | Required | Strong knowledge of database management systems, as well as data warehouse management and decision support tools |
• | 5 | Required | Extensive experience in the development, implementation and maintenance of data warehouses and data marts is desired |
• | 5 | Required | Experience in business objects and in building the data dictionary |
• | 5 | Required | Ability to use data base access tools for application delivery |
• | 5 | Required | Strong familiarity with analysis, planning and management reporting functions |
• | 5 | Required | Well-developed oral and written communications skills |
• | 5 | Required | Strong teamwork and interpersonal skills |
• | 5 | Required | Extremely high level of analytical ability where problems are very unusual and extremely difficult |
• | 5 | Required | Understanding of benchmarking processes and techniques |
• | 5 | Required | Very high level of interpersonal skills to work effectively with others, motivate employees, and elicit work output |
• | 5 | Required | Data Warehousing data population and data modeling techniques for target structures such as Star Schemas, Snowflake Schemas, and highly normalized data models |
• | 5 | Required | GUI based ETL tools such as Informatica, IBM WebSphere DataStage, or similar tools. |
• | 5 | Required | Implementation experience with enterprise class databases e.g. Teradata, Oracle, SQL Server, etc. or similar technologies. |
• | 5 | Required | Implementation experience with analytical and reporting tools e.g. Business Objects, Cognos, Hyperion, MicroStrategy or similar tools. |
• | 5 | Required | Experience with data warehouse implementation process, from business requirements through logical modeling, physical database design, data sourcing and data transformation, data loading, Structured Query Language (SQL), end-user tools, database and SQL pe |
• | 5 | Required | Implementation experience with analytical and reporting tools e.g. Business Objects, Cognos, Hyperion, MicroStrategy or similar tools. |
• | 5 | Required | Excellent analytical; problem-solving; team playing; and oral and written communication skills. |
• | 5 | Required | Proven ability to work successfully with technical and non-technical groups and manage multiple responsibilities. |
• | 5 | Preferred | Oracle Database experience |
• | 5 | Preferred | PowerBI report creation |