Sr Business Intelligence Analyst

The Sr Business Intelligence Analyst role plays an integral part in understanding metrics about our customers, products, and technological capabilities. In this role you will need to have a business-oriented mindset combined with robust experience and technical know-how to conceptualize, build, and deploy full-scale products and solutions. This role acts independently and requires the ability to make decisions while considering deliverables, time constraints, accuracy, and best practices. The Sr Business Intelligence Analyst will utilize all resources in their toolkit combined with proven experience to build sustainable, useful, and inspirational products.

WHERE YOU’LL WORK

This position will work a hybrid schedule from our Gilbert, AZ office location.

HOW YOU’LL SPEND YOUR TIME

• Provide data in an easily consumable format to all levels of the organization to assist in decisions that drive revenue, increase efficiency, and foster data exploration.
• Work with internal and external customers to understand business requirements and translate those business requirements into technical requirements for quick, actionable insights.
• Communicate with customers, both internal and external, in a professional and timely manner.
• Help business users understand and make conclusions from data for decision making purposes.
• Research issues/anomalies with data, systems, and processes
• Manage multiple complex projects independently while ensuring deadlines are met.
• Train, develop, and coach team members to foster independent and knowledgeable analysts.
• Serve as expert at the organization with respect to data collection, ingestion, cleansing, reporting and analysis.
• Manage Custom Reporting product to ensure quality, scalability, and revenue generation.
• Leverage in-depth business and product knowledge to build and recommend streamlined approaches to complex problems.

WHAT YOU'LL NEED

• Bachelor’s degree in computer science, Business, or related field preferred. Relevant experience will be considered.
• Proven experience as a Data Analyst or similar role, with a minimum of 5 years of relevant work experience.
• Eager to learn self-starter who can work in a fast-paced environment with emphasis on independence, quality, accuracy, and aesthetics.
• Experience researching, analyzing and leveraging data from a wide range of internal and external resources. Polished analytic skills, business acumen, oral and written communication skills to be able to collaborate with all levels of the organization.
• Strong proficiency in Tableau for data blending and preparation techniques, data visualization, dashboard creation, and reporting.
• Proficient in SQL with experience in relational databases and data storage/querying/analysis tools such as SSMS, Google BigQuery, and Snowflake. Proficiency in programming languages such as Python or R for data analysis and manipulation.
• Advanced knowledge of statistical analysis, predictive modeling techniques, and marketing metrics analysis (CAC, ROMI, CLTV).
• Hands-on experience in implementing complex tracking scenarios using GTM, including data layers, custom events, enhanced ecommerce tracking, and cross-domain tracking.
• Proficiency in leveraging Google Analytics for data collection and interpretation, integrating it with other data sources for in-depth analysis, and applying A/B testing and CRO techniques to enhance website performance and marketing initiatives.

Preferred

• Experience with other data visualization tools such as Power BI, QlikView, or Looker.
• Familiarity with Snowflake's data sharing capabilities for securely sharing data.
• Knowledge of cloud-based data platforms such as AWS or Azure.
• Knowledge of data privacy regulations, such as GDPR or CCPA, and experience in implementing compliance measures within marketing activities.
• Experience working in Agile development environment and must be able to multi-task and prioritize in accordance with changing priorities and deadlines.
• Experience in marketing automation platforms such as Hubspot for lead scoring
• Familiarity with ETL processes and tools for data integration.
• Familiarity with data warehousing concepts and technologies.

BENEFITS

• Flexible and generous paid time off
• Competitive medical, dental, vision and life insurance
• 401(k) employer matching program
• Parental leave
• Wellness resources
• Charitable matching program
• Hybrid work
• On-site workout facilities (Leawood, Gilbert, Burlington)
• Community outreach groups
• Tuition reimbursement