DemandSense is a B2B SaaS platform that helps companies understand buyer intent, advertising performance, and product impact through data and AI-driven insights. We work with large volumes of product, marketing, and behavioral data and turn them into actionable intelligence for go-to-market teams.
Role Overview
We are looking for a Data Analyst to own and evolve our data pipelines, analytics layer, and dashboards.
This role sits at the intersection of data engineering, analytics, and AI enablement, ensuring high-quality data flows and models that power both customer-facing insights and internal decision-making.
Key Responsibilities * Create and maintain dashboards and reports in Apache Superset * Design, build, and maintain reliable data pipelines, e.g, using Python (Airflow), n8n * Maintain and optimize ClickHouse as an analytical data warehouse (tables, partitions, TTLs, indexes) * Integrate data from multiple sources (product, marketing, billing, external APIs) * Prepare clean, well-structured datasets for AI tools * Partner with engineering and product on data-related initiatives * Document data models, pipelines, and definitions to ensure transparency and reuse
High Level Measurements of Success: * Analytical datasets structured for easy consumption by AI models and/or BI tools; models are reusable * Proactively identifies and implements pipeline improvements or new metrics * Dashboards are developed on time and provide insights that lead to actionable decisions * All data sources, metrics, and workflows are clearly documented
Required Qualifications * Strong proficiency in SQL (complex queries, views, joins, aggregations) * Hands-on experience with at least one BI or visualization tool * Solid understanding of database schemas and data modeling * 2+ years of data management and ETL experience
Nice to Have * Experience with product analytics (funnels, cohorts, retention, usage metrics) * Familiarity with ClickHouse or other analytical databases * English Intermediate+
Attributes * Strong problem-solving skills. * Highly attentive to detail. * Deliberative decision-making. * Learning agility and adaptability. * Strong communication and collaboration skills (cross-functional teamwork). * Commitment to data quality and integrity. * Professional, proactive, and reliable work style.
What We Offer * Opportunity to work on a data- and AI-first product * High ownership and influence on analytics and AI foundations * Collaboration with experienced product and engineering teams * Flexible work environment and competitive compensation
