Role Overview
We’re seeking a skilled Business Intelligence Analyst to strengthen our Sales organization through data. In this role, you’ll bridge the gap between data and decision-making by designing scalable analytics solutions, defining performance indicators, and delivering actionable insights. You’ll work hand-in-hand with Sales leaders and data engineers to ensure analytics infrastructure is accurate, accessible, and aligned with business goals.
Key Responsibilities
- Collaborate with Sales teams to identify analytical needs, define KPIs, and uncover opportunities for growth.
- Design, build, and maintain dashboards and reports that deliver timely, relevant insights using modern visualization tools.
- Examine revenue trends and support forecasting with statistical models, heuristics, or machine learning techniques.
- Conduct in-depth analyses to answer business questions and guide strategic decisions across sales functions.
- Partner with data engineering to develop data marts, ETL processes, and reporting layers, contributing to a dbt-powered analytics stack.
- Support lead generation initiatives by evaluating campaign effectiveness and experimental outcomes.
- Ensure data integrity across reporting systems and coordinate with data owners to resolve quality issues.
- Document metrics, sources, and tools to promote transparency and understanding across teams.
- Empower non-technical users to explore data independently through self-service solutions.
What We’re Looking For
- At least 5 years of experience in business intelligence, data analysis, or a similar analytical position.
- Strong command of SQL and practical experience with Python, R, or another analytical programming language.
- Familiarity with BI platforms such as Tableau, Power BI, Qlik, or comparable tools.
- Solid understanding of relational databases, data warehousing, and data processing workflows.
- Proven ability to build reliable, structured reporting systems from complex datasets.
- Sharp analytical mindset, precision in execution, and a natural curiosity about data patterns.
- Clear communication skills for engaging both technical and non-technical audiences.
- Professional fluency in English.
Preferred Background
- Experience in Sales, Marketing, or go-to-market analytics, particularly in B2B settings.
- Hands-on work with ETL pipelines and preparing data for analytical use.
- Direct experience using dbt or similar data transformation frameworks.
- Knowledge of data governance principles and data quality management practices.
Technology Environment
Our analytics stack includes SQL, Python, R, Tableau, Power BI, Qlik, DataLens, dbt, ETL pipelines, data marts, and relational database systems. You’ll work within a modern data architecture designed for scalability and clarity.
Work Environment
We value autonomy, thoughtful problem-solving, and continuous learning. Our culture emphasizes data-driven decisions, inclusivity, and seamless collaboration across global teams. As an equal opportunity employer, we welcome individuals of all backgrounds and identities, fostering a workplace where everyone can contribute and grow.
