Business Intelligence Specialist

Qualus•, WA

7d•$70,000 - $95,000•Onsite

About The Position

Power your future with Qualus in our Business Intelligence department as a Business Intelligence Specialist. You will be responsible for supporting the collection, analysis, visualization, and reporting of business data to help drive informed decision-making.

Requirements

0–4 years of experience in business intelligence, data analytics, reporting, or a related field.
Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Information Technology, Mathematics, Statistics, or a related discipline.
Proficiency in at minimum the following technologies: SQL, DAX and Microsoft Power BI.
Strong proficiency with Microsoft Excel, including advanced formulas, pivot tables, and data analysis features.
Understanding of relational database concepts, data modeling, and data warehousing principles.
Experience creating dashboards, reports, and visualizations that communicate business insights effectively.
Familiarity with data cleansing, validation, and quality assurance techniques.
Strong analytical, problem-solving, and communication skills with the ability to translate business requirements into technical solutions.

Responsibilities

Collect, analyze, and interpret structured data to identify trends, patterns, and insights that support business objectives.
Design, develop, and maintain interactive dashboards and reports using business intelligence tools such as Microsoft Power BI to communicate key performance metrics.
Perform data extraction, cleansing, validation, and transformation activities to ensure data quality and readiness for reporting and analysis.
Write and maintain SQL queries, stored procedures, and views to retrieve, manipulate, and validate data from relational databases.
Assist in gathering business requirements, documenting reporting needs, and developing analytical solutions that address operational and strategic challenges.
Support the development and maintenance of logical and physical data models that enable efficient reporting and analytics.
Develop and maintain documentation including report specifications, data dictionaries, business definitions, and technical documentation to support knowledge sharing and long-term maintainability.