Data Analyst

Job not on LinkedIn

🔥 1 minute ago

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

📉 Data Analyst

🚫👨‍🎓 No degree required

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Integrate

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

💼 Consulting

📣 Marketing

☁️ SaaS

💰 $2.6M Series E - Integrate on 2018-07

Consulting • Marketing • SaaS

Integrate is a B2B SaaS platform that centralizes lead management and data governance for enterprise marketing teams. It ingests leads from multiple channels via RESTful APIs and integrations, validates, standardizes, enriches, deduplicates, and enforces privacy/compliance checks, then routes clean, actionable leads into MAPs, CRMs, and CDPs. The platform also provides AI-powered insights and reporting to optimize campaign performance and tie marketing activities to revenue.

📋 Description

• 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

🎯 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

🏖️ Benefits

• 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