Senior Analytics Engineer
2 dni temu
Clari's Revenue platform gives forecasting accuracy and visibility from the sales rep to the board room on revenue performance -helping them spot revenue leak to answer if they will meet, beat, or miss their sales goals. With insights like this, no wonder leading companies worldwide, including Okta, Adobe, Workday, and Zoom use Clari to drive revenue accuracy and precision. We never get tired of our customers singing our praises because it fuels us to help them continue to achieve remarkable. The next generation of revenue excellence is here…are you readyto achieve remarkable with us?
About the Team
Finance and Accounting at Clari forms the backbone of strategic decision-making by employing rigorous analysis, relevant reporting, and sound financial management. We support Clari's profitable growth and empower every department to optimize their operations in service of running revenue for all B2B companies.
About the Role
We are looking for a BI Developer / Analytics Engineer to help transform raw data into actionable insights through scalable data models and visualization solutions. The ideal candidate has strong experience with SQL, familiarity with Python and is proficient in modern data stack tools such as Snowflake, dbt, ThoughtSpot or similar. This role will bridge the gap between data engineering and analytics, ensuring data is well-structured, accessible, and optimized for business intelligence and reporting.
This is a fully remote opportunity and can be worked from any location in Poland. Candidates must be based in Poland and be able to travel to the office in Kraków as needed.
Responsibilities
- Develop and maintain dbt models to transform and structure data for analytics and reporting
- Design, build, and optimize SQL-based data models in Snowflake to support business intelligence needs
- Develop and maintain ThoughtSpot dashboards and self-service analytics capabilities for business users
- Collaborate with data engineers and analysts to ensure high-quality, reliable, and well-documented data models
- Ensure data accuracy, integrity, and performance across reporting and analytics solutions
- Enable business stakeholders with adoption of self-service analytics using NLP solutions in ThoughtSpot
- Define and implement best practices for analytics governance, security, and efficiency
- Work closely with business stakeholders to understand reporting needs and translate them into scalable solutions
- 5+ years of experience working with SQL for data transformation and modeling
- Experience with Python for automation and data manipulation
- Proficiency with Snowflake or similar cloud data warehouses
- Experience working with ThoughtSpot or other BI tools for visualization and self-service analytics
- Solid understanding of data warehousing concepts, dimensional modeling, and performance optimization
- Strong analytical and problem-solving skills with a business-oriented mindset
- Hands-on experience with dbt for data transformation and modeling
- Knowledge of data governance, security, and compliance best practices
- Experience with version control (Git) and CI/CD pipelines for analytics workflows
- Familiarity with stakeholder engagement and requirements gathering for BI projects
- 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
#BI-Remote
#LI-Remote
You'll often hear our CEO talk about being remarkable. To Clari, remarkable means many things. We believe in providing interesting and meaningful work in a supportive and inclusive environment - free from discrimination for everyone without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, or veteran status.
Clari focuses on culture add, not culture fit, and believe we are made stronger by what makes you unique. If you are passionate about learning and excited about what we are doing, then we want to hear from you
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