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Integrate.com, Inc.

Data Analyst

Data AnalysisConfirmed live in the last 24 hours
Full-timeRemote in IndiaNo salary listed

About the Job

Requirements

  • The candidate must have 1–5 years of relevant experience.
  • The candidate must be an engineering graduate.
  • The candidate must have strong SQL skills, including the ability to write and optimize queries against complex relational data models.
  • The candidate must have good knowledge of Python and Spark.
  • The candidate must be able to read and understand technical documentation, including data-lineage diagrams, entity-relationship diagrams, and business-process flows.
  • The candidate must have strong analytical, logical-reasoning, and problem-solving skills.
  • The candidate must have excellent written and spoken English communication skills and be able to explain technical concepts and issues clearly to business and technical audiences.
  • The candidate must be comfortable interacting directly with clients, understanding their requirements, and discussing technical solutions.
  • The candidate must have stakeholder-management, coordination, and cross-functional collaboration skills.
  • The candidate must be able to manage multiple requests, prioritize competing tasks, and own issues through resolution.
  • The candidate must be comfortable working independently in a remote environment while collaborating with distributed teams.
  • The candidate must be comfortable working the US shift, 6:00 PM to 3:00 AM IST.

Responsibilities

  • Engage directly with clients and Customer Success Managers to understand business, reporting, and technical requirements and translate them into clear, actionable specifications.
  • Act as a bridge between clients, Customer Success, and internal engineering teams to ensure seamless communication and successful execution.
  • Build custom reports, dashboards, widgets, data models, and other platform-based solutions to address customer business and data-analysis needs.
  • Write, analyze, and optimize SQL queries against complex relational data models to support reporting, data analysis, and customer requirements.
  • Use Python and Spark, where appropriate, to support data transformation, reporting, and specialized technical solutions.
  • Configure platform features, workflows, integrations, and reporting components based on defined requirements.
  • Analyze source data and existing configurations to identify the most effective and scalable implementation approach.
  • Partner with stakeholders to clarify requirements, assess technical feasibility, identify dependencies, and define implementation approaches.
  • Collaborate 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.
  • Create technical documentation, solution notes, data-lineage documentation, and reusable implementation patterns.
  • Manage multiple solution requests, prioritize effectively, communicate progress and risks, and follow issues through to resolution.
  • Ensure all deliverables align with customer expectations, business objectives, and technical requirements.

Desired Qualifications

  • Experience with version-control systems such as GitHub or Bitbucket.
  • Familiarity with cloud platforms and databases such as Google Cloud Platform, BigQuery, or Snowflake.
  • Familiarity with marketing technology platforms and integrations, including Salesforce, HubSpot, Marketo, Google Ads, LinkedIn, or Eloqua.
  • Experience in B2B marketing, marketing operations, revenue operations, or business intelligence.
  • Familiarity with business-intelligence and reporting platforms such as Microsoft Power BI, Looker, or Tableau.
  • Experience with SaaS platforms, data integrations, reporting solutions, or technical support.

About the Company

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Total funding
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Founded
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