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** Responsibilities 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. T his position performs all duties and responsibilities in accordance with the Mission, Vision, and Core Values of Cayuse.
Key Responsibilities
- 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 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.
- 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 QlikView
- 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 a comprehensive view of organizational performance.
- Recognize trends and patterns within data sets and understand their implications for the organization .
- Strong communication and presentation skills
- Experience using cloud platforms like AWS, Azure, and Google Cloud .
- Experience using data warehousing solutions such as Snowflake, Redshift, and BigQuery
- Proficiency in SQL to interact with database management systems like MySQL and PostgreSQL; executing queries to extract, manipulate, and analyze data .
- Must be adept at translating technical findings into language that non-technical stakeholders can easily understand, ensuring that their ins