Senior Analytics Engineer

About the role

The Business Intelligence team at Attentive is seeking a Senior Analytics Engineer to transform raw data into clear insights and reporting. You will own the design and management of the data infrastructure, pipelines, and models that power data-driven decision-making across the organization. In this capacity, you will act as a key liaison between technical execution and strategic business objectives. The role requires close collaboration with product and engineering partners to define and standardize analytics metrics. You will be responsible for ensuring the reliability, performance, and scalability of the analytics stack. This position offers the opportunity to build tools that directly influence high-level organizational strategy. Success in this role will be measured by the quality, adoption, and impact of the analytics solutions you deliver.

Key facts

What you'll do

• Collaborate with product and engineering departments to establish analytics metrics and requirements.
• Create and maintain executive-level dashboards to support organizational strategy.
• Develop and manage scalable data models within dbt and Looker.
• Analyze large datasets to identify trends, patterns, and anomalies.
• Oversee the company data analytics platform, Looker.
• Implement robust data transformation logic to ensure accuracy and consistency.
• Partner with stakeholders to gather, interpret, and translate business needs into technical specifications.
• Optimize query performance to improve dashboard responsiveness and user experience.
• Establish data governance practices to maintain documentation and metadata integrity.
• Conduct code reviews to ensure best practices and maintain high standards for analytics code.
• Monitor data pipelines to detect issues and coordinate resolutions with engineering teams.
• Explore and prototype analytical solutions using modern data tools and methodologies.
• Mentor junior analysts and engineers on data modeling and visualization techniques.
• Drive continuous improvement initiatives for the analytics infrastructure and processes.

Requirements

• Hold a Bachelor degree in Computer Science, Mathematics, Statistics, Finance, or equivalent professional experience.
• Possess a minimum of 4 years of experience in business intelligence or analytics.
• Demonstrate proficiency in data visualization tools like Looker or Tableau.
• Show expertise in writing and optimizing SQL queries for complex datasets.
• Have experience with ETL processes and reporting infrastructure.
• Exhibit the ability to manage projects independently in a fast-paced environment.
• Maintain strong communication skills for presenting findings to stakeholders effectively.
• Display a proven track record of delivering data-driven recommendations that influence business outcomes.

Nice to have

• Experience with dbt, Airflow, or modern ELT/ETL workflows.
• Ability to use AI/LLM tools like ChatGPT or Claude Code for SQL generation and documentation.
• Experience with reproducible notebook platforms such as Hex or Jupyter.
• Proficiency in Python or R for statistical modeling.
• Background in establishing CI/CD workflows, testing frameworks, or modeling standards for analytics code.

Practical notes

• Compensation is determined based on role, level, and location.
• Attentive is an equal opportunity employer and provides reasonable accommodations for candidates with disabilities.
• Applicant data is processed according to the Attentive Privacy Policy.

This position is central to the strategic growth of the Business Intelligence function at Attentive. The Senior Analytics Engineer will be expected to operate with a high degree of autonomy while working within a collaborative team environment. You will be responsible for building the analytical foundation that supports marketing performance and customer engagement initiatives. The work involves both technical depth and the ability to communicate complex ideas to non-technical audiences. You will leverage tools such as SQL, Looker, and Tableau to create actionable dashboards that tell a clear story with data. Your expertise in data modeling and transformation will ensure that the insights produced are trustworthy and reproducible. The role requires a balance between hands-on technical work and strategic planning with cross-functional partners. You will contribute to the development of standards that ensure the long-term maintainability of the analytics ecosystem. This is a senior-level position that demands ownership, curiosity, and a commitment to excellence. The successful candidate will thrive in an environment that values data rigor and business impact equally.