About DemandSense
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
Tech Stack
- Databases: PostgreSQL, ClickHouse
- ETL & Orchestration: Python, Airflow
- No-code / Automation: n8n
- BI & Visualization: Apache Superset
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
