Data Analyst

Accountabilities

• Engage directly with clients and Customer Success Managers to understand business objectives, reporting needs, and technical requirements, translating them into clear implementation specifications.

• Serve as a key link between customers, Customer Success, and internal technical teams to ensure effective communication and smooth project execution.

• Develop customized reports, dashboards, widgets, data models, and other platform-based solutions tailored to customer requirements.

• Write, analyze, troubleshoot, and optimize SQL queries across complex relational data models to support reporting and data analysis.

• Apply Python and Spark where appropriate to support data transformations, reporting workflows, and specialized technical solutions.

• Configure platform features, workflows, integrations, and reporting components based on defined business and technical requirements.

• Analyze source data, existing configurations, and data structures to identify effective, scalable implementation approaches.

• Collaborate with stakeholders to clarify requirements, assess technical feasibility, identify dependencies, and determine suitable solutions.

• Work with Product Engineering and Design teams to investigate platform limitations, troubleshoot technical issues, document requirements, and validate fixes or workarounds.

• Test and quality-check reports, dashboards, widgets, data models, and configurations before delivery to ensure accuracy and reliability.

• Maintain technical documentation, solution notes, data-lineage records, and reusable implementation patterns.

• Manage multiple customer requests, prioritize competing tasks, communicate progress and risks, and take ownership of issues through resolution.

• Ensure all deliverables meet customer expectations, business objectives, quality standards, and technical requirements.

Requirements:

• Between 1 and 5 years of relevant professional experience in data analytics, technical delivery, reporting, or a related field.

• An engineering degree is required.

• Strong SQL expertise is mandatory, including the ability to develop and optimize queries involving complex relational data models.

• Good working knowledge of Python and Spark.

• Ability to interpret technical documentation, including data-lineage diagrams, entity-relationship diagrams (ERDs), and business-process flows.

• Strong analytical thinking, logical reasoning, troubleshooting, and problem-solving skills.

• Excellent written and spoken English communication skills, with the ability to explain technical concepts clearly to both business and technical audiences.

• Confidence in interacting directly with customers, gathering requirements, discussing technical approaches, and managing expectations.

• Strong stakeholder management, coordination, and cross-functional collaboration skills.

• Ability to manage multiple requests, prioritize competing deadlines, and take responsibility for issues until they are resolved.

• Comfortable working independently in a remote environment while collaborating with geographically distributed teams.

• A curious, methodical, and customer-oriented approach, with a commitment to delivering accurate, reliable, high-quality solutions.

• Preferred:Experience with version-control systems such as GitHub or Bitbucket.

• Preferred:Familiarity with cloud platforms and data warehouses such as Google Cloud Platform (GCP), BigQuery, or Snowflake.

• Preferred:Exposure to marketing technology platforms and integrations, including Salesforce, HubSpot, Marketo, Google Ads, LinkedIn, or Eloqua.

• Preferred:Experience in B2B marketing, marketing operations, revenue operations, business intelligence, SaaS platforms, or data integrations.

• Preferred:Familiarity with reporting and business intelligence tools such as Microsoft Power BI, Looker, or Tableau.

Benefits:

• Fully remote working arrangement within India.

• Opportunity to work on a technically challenging B2B SaaS platform supporting marketing and revenue operations.

• 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.

• Opportunities to develop skills at the intersection of data analytics, technology, and customer success.

• A collaborative working environment that encourages curiosity, ownership, and continuous improvement.

• Working hours: US shift, from 6:00 PM to 3:00 AM IST.

• Notice period: Immediate joiners to candidates with up to 30 days' notice are preferred.

• Compensation and additional benefits: Not specified in the original listing.