Business Data Analyst

Job Description

Job Description

Position: Business Data Analyst
Location: St. George, Utah (No remote)

TCN is seeking an innovative and driven individual to join our team as a Business Data Analyst. As a key player in shaping the future of our BI offerings, you’ll help drive excellence in data strategy, product innovation, and client success. This is a unique opportunity for an experienced professional passionate about data insights, analytics, and visualization tools to contribute significantly to TCN’s growth.

Role Overview:
As a Business Data Analyst working with TCN’s Business Intelligence (BI) team, you will help ensure the quality and functionality of TCN’s BI tools and features. Working under the guidance of the Senior Vice President of Revenue Enhancement and Product, you will assist clients in understanding their needs, providing data analysis, and offering consultation. Your role will involve developing user-friendly dashboards and best practice recommendations that enhance the effectiveness of TCN’s services. In this capacity, you will support BI revenue growth and contribute to the ongoing development of TCN’s BI product strategy.

Key Responsibilities:

• QA and Product Release Monitoring: Play a crucial role in quality assurance testing for all BI features and product releases, ensuring the highest standards for functionality, reliability, and user experience.
• Documentation and Training: Help create detailed documentation and training materials to support internal teams and clients using TCN’s BI tools.
• Insight Development: Create actionable insights and dashboards that follow best practices, delivering rapid value with minimal effort required for configuration or personalization. These solutions will highlight key metrics and trends across TCN services, enabling clients to make informed, data-driven decisions quickly and efficiently.
• Client Consultation: Partner with clients to understand their business challenges, identify applicable datasets for analysis, and develop custom BI solutions that address their specific needs.
• Revenue Growth and Client Engagement: Actively contribute to growing TCN’s BI revenue and expanding the client base by showcasing the value of our BI tools and services in optimizing call center operations.

Qualifications:

• Bachelor’s degree or equivalent work experience in Business Intelligence, Data Science, or a related field.
• 2 to 4 years of experience in BI, data analysis, call center customer service, or a similar role.
• Proven experience with relational databases, data visualization tools, and BI platforms.
• Strong understanding of data analytics, data mining, and pattern recognition.
• Experience working in customer-facing roles, providing insights, solutions, and consultations.
• Excellent communication skills with the ability to translate complex data into actionable insights.
• Strong attention to detail and problem-solving skills with a proactive attitud

Competencies:

• Customer/client orientation: Deep understanding of customer needs and the ability to tailor solutions to meet their specific requirements.
• Interpersonal skills: Ability to build relationships and communicate effectively with clients and internal teams.
• Originality: Skilled in approaching challenges creatively and finding new ways to leverage data for actionable results.

About TCN:
TCN is a rapidly growing technology company, offering cloud-based contact center solutions through its proprietary software-as-a-service model. Our BI tools play a pivotal role in helping clients visualize data and optimize their operations. If you thrive in a collaborative, forward-thinking environment and are excited about the power of data, TCN offers a unique opportunity to make a meaningful impact. Join us and drive innovation at the intersection of data strategy and contact center operations.

Our benefits include:

• Medical Insurance (HDHP with HSA)
• Dental Insurance
• Vision Insurance
• Life Insurance
• 401k with employer match
• Competitive salary
• Paid time off
• Paid holidays (11 scheduled)
• Weekly lunches; free drinks and snacks
• Casual dress and flexible work environment

Apply today and become part of a dynamic team dedicated to transforming how businesses leverage data.

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