Data Analyst

Integrate

IndiaremotePosted 10 days ago

Skill Required

Data-AnalystTechnical-Data-AnalystSQL-AnalystBusiness-Intelligence-AnalystAnalytics-EngineerAnalytics-AnalystAssociate-Data-AnalystData-Analytics-SpecialistResearch-Data-AnalystData-Intelligence-AnalystData AnalystGCPGoogle AdsEngineeringSalesforceanalyticalSnowflakePower BIanalyticsGitBigQueryTableauHubSpotwrittenTestNGPythonLookerdesignSparkCloudSQLandFulltime

Key highlights

1–5 years of relevant experience
Strong SQL expertise is a critical requirement
Engineering graduates only
Work From Home
Knowledge of Python and Spark
Experience with SaaS platforms, data integrations, reporting solutions, or technical support

Role overview

Integrate is a B2B demand orchestration platform that helps enterprise marketing teams capture, validate, and activate leads across every channel. They are hiring a Data Analyst for the Technical Delivery Team to build custom solutions using SQL, Python, and Spark, acting as a bridge between customers and internal engineering teams to deliver scalable technical solutions.

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.

Requirements

1–5 years of relevant experience.
Engineering graduates only.
Strong SQL skills are mandatory, including the ability to write and optimize queries against complex relational data models.
Good knowledge of Python and Spark.
Ability to read and understand technical documentation, including data-lineage diagrams, entity-relationship 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 and issues clearly to both business and technical audiences.
Comfortable interacting directly with clients, understanding their requirements, and discussing technical solutions.
Strong stakeholder management, coordination, and cross-functional collaboration skills.
Ability to manage multiple requests, prioritize competing tasks, and take ownership of issues through resolution.
Comfortable working independently in a remote environment while collaborating with distributed teams.

Nice to have

Experience with version-control systems such as GitHub or Bitbucket.
Familiarity with cloud platforms and databases such as Google Cloud Platform (GCP), 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.