Data Analyst

• Engage with clients and Customer Success Managers to understand business, reporting, and technical requirements
• Translate requirements into clear, actionable specifications
• Bridge communication between clients, Customer Success, and internal engineering teams
• Build custom reports, dashboards, widgets, data models, and platform-based solutions
• Write, analyze, and optimize SQL queries against complex relational data models
• Use Python and Spark for data transformation, reporting, and specialized technical solutions
• Configure platform features, workflows, integrations, and reporting components
• Analyze source data and configurations to determine scalable implementation approaches
• Assess technical feasibility, dependencies, and implementation approaches with stakeholders
• Collaborate with Product Engineering and Design to investigate limitations, troubleshoot issues, document requirements, and validate fixes
• Test and quality-check reports, dashboards, widgets, data models, and configurations
• Create technical documentation, solution notes, data-lineage documentation, and reusable implementation patterns
• Manage and prioritize multiple solution requests, communicate progress and risks, and follow issues through resolution
• Ensure deliverables meet customer expectations, business objectives, and technical requirements

• 1–5 years of relevant experience
• Engineering graduates only
• Strong SQL skills, including writing and optimizing queries against complex relational data models
• Good knowledge of Python and Spark
• Ability to understand technical documentation, data-lineage diagrams, ERDs, and business-process flows
• Strong analytical, logical reasoning, and problem-solving skills
• Excellent written and spoken English communication skills
• Ability to explain technical concepts clearly to business and technical audiences
• Comfortable interacting directly with clients and discussing technical solutions
• Strong stakeholder management, coordination, and cross-functional collaboration skills
• Ability to manage multiple requests, prioritize competing tasks, and own issues through resolution
• Comfortable working independently in a remote environment with distributed teams
• Comfortable working the US shift, 6:00 PM to 3:00 AM IST
• Immediate joiners to 30 days’ notice period
• Preferred: experience with GitHub or Bitbucket; GCP, BigQuery, or Snowflake; marketing technology platforms and integrations; B2B marketing, marketing operations, revenue operations, or business intelligence; Power BI, Looker, or Tableau; SaaS platforms, data integrations, reporting solutions, or technical support

• Work from home
• Exposure to customer data models, marketing technology, integrations, analytics, and business processes
• Collaboration with cross-functional teams across Product, Engineering, Implementation, Account Services, and Business Intelligence
• Career development at the intersection of data, technology, and customer outcomes
• Collaborative environment valuing curiosity, ownership, and continuous improvement