Senior Business Intelligence Analyst

Goosehead Insurance; Roanoke (TX); On-site; USD 85,000 - 115,000; Full time

Job summary

A leading insurance company is searching for a Senior Business Intelligence Analyst to lead the development of data models and dashboards. This role involves mentoring junior team members and driving data management best practices. The ideal candidate has over 5 years of experience and advanced skills in SQL and Tableau, complemented by a strong business acumen. You will work closely with C-suite executives, providing insights that influence strategic decisions and foster a data-driven culture within the organization.

Qualifications

• 5+ years of experience in BI Analyst or similar role, working with large, complex datasets.
• Advanced proficiency in SQL, Tableau, and data warehousing concepts.
• Strong background in Salesforce reporting and Salesforce CRM Analytics.

Responsibilities

• Lead the design, development, and optimization of complex data models.
• Perform in-depth analyses of large datasets to identify trends.
• Develop and present key business insights to senior leadership.

Skills

Excellent communication skills

Strong problem-solving/analytical skills

Strong data management skills

Business acumen

Education

Bachelor’s degree in Business, Information Systems, Data Science, Computer Science, or related field

Tools

SQL

Tableau

Snowflake

Salesforce

Job description

Join to apply for the Senior Business Intelligence Analyst role at Goosehead Insurance

The Senior BI Analyst will lead the development of cutting‑edge data models, datasets, and dashboards while mentoring junior team members and driving best practices in data management. The Senior BI Analyst will interact with other teams to form a data‑driven culture leveraging metrics and KPIs and strategic analysis on company performance and trends. The role requires the following capabilities: excellent communication skills, especially the ability to respectfully challenge and influence; strong problem‑solving/analytical skills, strong data management skills, and business acumen.

Key Responsibilities

• Lead the design, development, and optimization of complex data models, datasets and interactive dashboards using Tableau to guide strategic decision‑making.
• Perform in‑depth analyses of large datasets to identify trends, opportunities, and actionable insights.
• Develop and present key business insights to senior leadership in a clear, concise, and impactful manner.
• Ensure all BI solutions align with organizational objectives and business goals.

Advanced Data Management & Optimization

• Write, optimize, and troubleshoot complex SQL queries to extract and manipulate data across multiple databases, with a primary focus on Snowflake.
• Oversee the design, enhancement, and maintenance of data pipelines to ensure data accuracy, quality, and efficiency.
• Serve as the subject matter expert for Snowflake, guiding the organization in leveraging it as the central data platform for advanced analytics.
• Partner with business units and cross‑functional teams to gather requirements and define KPIs, ensuring BI solutions address key business challenges.
• Act as a trusted advisor to C‑suite executives by providing data‑driven insights and recommendations.
• Mentor junior BI team members, fostering a culture of knowledge sharing and continuous improvement.

Skills & Qualifications

Required:

• Bachelor’s degree in Business, Information Systems, Data Science, Computer Science, or a related field.
• 5+ years of experience in a BI Analyst or similar role, working with large, complex datasets.
• Advanced proficiency in SQL, Tableau, and data warehousing concepts, with extensive hands‑on experience using Snowflake.
• Strong background in Salesforce reporting and Salesforce CRM Analytics.
• Demonstrated ability to communicate technical insights effectively to both technical and non‑technical stakeholders, including C‑suite executives.
• Exceptional problem‑solving skills and attention to detail.

Preferred:

• Master’s degree in Business Analytics, Data Science, or a related field.
• Experience in the insurance industry or a similar data‑driven environment.
• Proficiency in scripting languages such as Python or R.
• Expertise in data visualization storytelling and dashboard design best practices.

Goosehead is an equal opportunity employer and complies with all applicable federal, state, and local laws, rules, guidelines, and regulations. Goosehead strictly prohibits and does not tolerate unlawful discrimination against employees, applicants, or any other covered person because of race, color, religion, creed, national origin, ancestry, ethnicity, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity, transgender status, age, physical or mental disability, veteran status, uniformed service, genetic information, or any other characteristic protected by applicable law. All applicants for employment and all Goosehead employees are given equal consideration based solely on job‑related factors, such as qualifications, experience, performance, and availability.

Seniority: Mid‑Senior level | Employment type: Full‑time | Job function: Analyst | Industry: Insurance