Staff BI Developer

Summary

Join Clari's Finance and accounting team as a Staff Analytics Engineer to lead the development of robust and scalable data models, reporting, and analytics solutions. Transform complex raw data into strategic insights that drive business decisions. This role requires deep expertise in SQL, Python, and experience with modern data stack tools like Snowflake, dbt, and ThoughtSpot. You will bridge the gap between data engineering, analytics, and business strategy, ensuring data assets are well-structured and accessible. This is a fully remote opportunity based in Poland with occasional travel to Kraków. The ideal candidate will have strong leadership and mentorship skills, fostering a culture of excellence in data modeling and analytics engineering.

Requirements

• 8+ years of progressive experience in data transformation, modeling, and analytics engineering, with a significant focus on complex SQL and data warehousing
• Expert-level proficiency with Python for advanced data manipulation, automation, and building analytical tools
• Extensive experience with Snowflake or similar cloud data warehouses, including performance tuning and cost optimization
• Demonstrated expertise with ThoughtSpot or other leading BI tools, with a proven track record of designing and implementing advanced self-service analytics solutions
• Deep understanding and practical experience with data warehousing concepts, advanced dimensional modeling, and performance optimization techniques for large datasets
• Exceptional analytical and problem-solving skills, with a strong strategic and business-oriented mindset capable of translating complex data into actionable business value
• Proven ability to lead projects, mentor junior team members, and drive technical initiatives from conception to deployment

Responsibilities

• Architect, develop, and maintain advanced dbt models and complex data transformations to support enterprise-wide analytics and reporting, ensuring scalability, performance, and data integrity
• Design, build, and optimize highly performant SQL-based data models within Snowflake, establishing best practices for data warehousing and dimensional modeling across the organization
• Lead the development and implementation of sophisticated ThoughtSpot dashboards and advanced self-service analytics capabilities, enabling business users to derive deep insights from data
• Provide technical leadership and mentorship to other analytics engineers and data professionals, fostering a culture of excellence in data modeling and analytics engineering
• Collaborate cross-functionally with data engineers, analysts, and product teams to establish and enforce high standards for data quality, reliability, and documentation
• Drive the adoption of self-service analytics solutions, including advanced NLP capabilities in ThoughtSpot, by providing expert guidance and training to business stakeholders
• Define, implement, and champion organization-wide best practices for analytics governance, data security, data lineage, and operational efficiency
• Proactively engage with senior business stakeholders to deeply understand strategic reporting and analytical needs, translating them into innovative, scalable, and impactful data solutions
• Evaluate and recommend new tools, technologies, and methodologies to enhance our analytics infrastructure and capabilities
• Lead initiatives to ensure data accuracy, integrity, and optimal performance across all reporting and analytics solutions, collaborating closely with QA and Data Governance teams

Preferred Qualifications

• Extensive hands-on experience with dbt for complex data transformation and modeling, including package development and orchestration
• Strong knowledge and practical application of data governance frameworks, data security best practices, and compliance regulations
• Expertise with version control (Git) and building robust CI/CD pipelines for analytics workflows
• Experience in stakeholder management, requirements gathering, and presenting complex analytical solutions to executive-level audiences
• Familiarity with other components of the modern data stack (e.g., Fivetran, Airflow, Monte Carlo)

Benefits

• Team-bonding activities and company-wide events
• Flexible working hours and remote opportunities
• Annual Well-being and Professional Development Stipends
• Private Healthcare and Multisport Pass
• Paid maternity and paternity leave
• Stock options