Lead Data Analyst
关于集成集成是 B2B 需求调整平台，帮助企业营销团队在每个道中捕获，验证和激活 leads 将碎片化的需求生成转化为统一的可测量管道。我们正在聘请：领先数据分析师 技术交付团队部门：技术交付经验：6年以上资格：工程毕业生仅地点：从家工作：美国班时间6:00 PM 到3:00 AM IST 通知期：即时加入者至30天的工作描述 我们寻找有技能，分析和客户端的 SQL 专业知识和 Python 和 Spark 的良好理解的领先数据解析员。本职位重点是将客户业务，报告和数据分析要求转化为准确的可扩展技术解决方案。你将与技术交付团队内的客户成功管理人员密切合作，了解需求并开发定制的报告，仪表板，小工具，数据模型，配置和其他基于平台的解决方案。你还将与产品工程和设计团队合作评估技术方法，解决平台挑战，确保流执行。这一职位是理想的，适合喜欢结合数据分析，SQL,技术问题解决，客户通信和跨功能合作来提供有效解决方案。关键责任 ·直接与客户和客户成功管理人员接触，了解业务，报告和技术要求并将它们转化为清晰可操作规范。· 能够管理年轻数据分析师团队 · 作为客户，客户成功和内部工程团队之间的桥梁以确保无沟通和成功执行。· 建立定制报告，仪表板，小工具，数据模型和其他基于平台的解决方案来满足客户业务和数据分析需求。· 写作，分析和优化 SQL 查询与复杂关系数据模型支持报告，数据分析和客户要求。· 使用 Python 和 Spark,酌情，以支持数据转型，报告和专业技术解决方案。·根据定义要求配置平台功能，工作流程，集成和报告组件。·分析源数据和现有配置，确定最有效和可扩展的实施方法。·与利益相关者合作，澄清要求，如：
查看英文原文
About Integrate
Integrate is a B2B demand orchestration platform that helps enterprise marketing teams capture, validate, and activate leads across every channel — turning fragmented demand generation into a unified, measurable pipeline.
We’re Hiring: Lead Data Analyst – Technical Delivery Team
Department: Technical Delivery
Experience: 6+ Years
Qualification: Engineering Graduates Only
Location: Work From Home
Shift: US Shift – 6:00 PM to 3:00 AM IST
Notice Period: Immediate Joiners to 30 Days
Job Description
We are looking for skilled, analytical, and client-oriented Lead Data Analyst with strong SQL expertise and a good understanding of Python and Spark. This role focuses on translating customer business, reporting, and data-analysis requirements into accurate, scalable technical solutions.
You will work closely with Customer Success Managers within the Technical Delivery team to understand requirements and develop custom reports, dashboards, widgets, data models, configurations, and other platform-based solutions. You will also collaborate with Product Engineering and Design teams to evaluate technical approaches, resolve platform challenges, and ensure smooth execution.
This role is ideal for someone who enjoys combining data analysis, SQL, technical problem-solving, client communication, and cross-functional collaboration to deliver effective solutions.
Key Responsibilities
- Engage directly with clients and Customer Success Managers to understand business, reporting, and technical requirements and translate them into clear, actionable specifications.
- Ability to manage the team of junior data analysts
- 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.
Required Qualifications and Skills
- 6+ 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.
Preferred Skills (Good 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.
What Will Help You Succeed
- A curious, methodical, and analytical approach to problem-solving.
- The ability to translate complex data concepts into practical solutions and clear explanations.
- Comfort investigating ambiguous issues, forming hypotheses, testing solutions, and documenting findings.
- Strong ownership, proactive communication, and organization when managing competing priorities.
- A customer-first mindset and a commitment to delivering reliable, high-quality solutions.
- An interest in growing a career in data analytics, technical delivery, technical support, customer success, or revenue technology.
Why Join Integrate?
- Work on a technically challenging B2B SaaS product supporting marketing and revenue operations.
- Gain exposure to customer data models, marketing technology, integrations, analytics, and business processes.
- Collaborate with cross-functional teams across Product, Engineering, Implementation, Account Services, and Business Intelligence.
- Build a career at the intersection of data, technology, and customer outcomes.
- Join a collaborative environment that values curiosity, ownership, and continuous improvement.
Important: Strong SQL expertise is a critical requirement for this role. Candidates must also possess good communication skills and be comfortable working in the US shift (6:00 PM to 3:00 AM IST).
Originally posted on Himalayas