Business Intelligence Analyst

Overview

JOB TITLE:

Business Intelligence Analyst

CAYUSE COMPANY:

Cayuse Civil Services, LLC

LOCATION

Austin, TX – Hybrid (3 day remote | Mon & Fri Onsite)

SALARY:

Based on experience and position level

This position is posted for future opportunities. Please submit your application to be considered for similar upcoming roles

The Work

The Business Intelligence Analyst will use data to figure out market and business trends for companies to increase profits and efficiency. They are able to look at large chunks of data and understand trends and communicate those trends to the client and stakeholders.

This position performs all duties and responsibilities in accordance with the Mission, Vision, and Core Values of Cayuse.

• Analyze and interpret data to identify trends and opportunities for business growth.
• Develop and maintain dashboards and reports that communicate key performance indicators.
• Collaborate with various teams to establish performance metrics and implement predictive analytics.
• Work closely with business units to understand their data needs and provide relevant insights.
• Document new requirement specifications and process workflows.
• Provide feedback on design and setup during review meetings with management.
• Gather and analyze data from internal and external sources
• Identify patterns, trends and insights to support strategic initiatives
• Ensure data accuracy, consistency and integrity across platforms
• Support data-driven decision making through predictive and prescriptive analytics
• Enhance business intelligence tools and processes for scalability and efficiency
• Conduct ad hoc analysis to address specific business questions
• Stay current on BI technologies, methodologies and industry best practices
• Other duties as assigned.

Qualifications – Here’s What You Need

The qualifications and skills listed below are intended to provide a general overview of the requirements for this position. However, due to the anticipated nature of the contract and the absence of a finalized task order from the client, this list should not be considered all-encompassing. Additional qualifications, certifications, skills, or experience specific to the client’s requirements may be identified and requested upon award of the task order.

Candidates should demonstrate flexibility and a willingness to adapt to evolving responsibilities as outlined by the client.

• Level 1: 1-3 years of experience in the field or in a related area. Has knowledge of commonly used concepts, practices, and procedures within a particular field. Relies on instructions and pre-established guidelines to perform the functions of the job. Primary job functions do not typically require exercising independent judgment.
• Level 2: 4-7 years of experience in the field or in a related area. Familiar with standard concepts, practices, and procedures within a particular field. Relies on limited experience and judgment to plan and accomplish goals. A certain degree of creativity and latitude is required. Works under limited supervision with considerable latitude for the use of initiative and independent judgment.
• Level 3: 8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks; may lead and direct the work of others. A wide degree of creativity and latitude is expected.
• All Levels
• Strong analytical skills and attention to detail.
• Proficiency in data visualization and reporting tools.
• Experience with data analysis and modeling techniques.
• Strong verbal and written communication skills to effectively collaborate with team members and stakeholders.
• Must be able to pass a background check. May require additional background checks as required by projects and/or clients at any time during employment.

Minimum

Skills:

• Proficiency in BI tools such as Power BI, Tableau, and Qlik View
• Solid understanding of SQL and databases
• Familiarity with programming languages like Python and R
• Understanding data modelling and data warehousing concepts
• Able to interpret complex data and transform it into meaningful insights
• Easily integrate data from various sources, allowing for…