Data Analyst

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