Senior Analyst - Data Analytics, CPD

4 - 7 years

20 - 25 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are seeking an experienced Senior Specialist - Data Analytics - to drive insights, optimize performance, and improve operational efficiency across our marketing and sales ecosystem. You will play a pivotal role in integrating and configuring analytics tools with our CRM platforms HubSpot and Salesforce and empowering the marketing teams with reliable, real-time data.

 

Responsibilities:

  • Lead the implementation and configuration of new data analytics tools and ensure seamless integration with HubSpot and Salesforce.
  • Partner with IT, vendors, and business stakeholders to set up data flows, dashboards, and tracking across platforms.
  • Develop and maintain data architecture to support marketing attribution, funnel analytics, and campaign performance tracking.
  • Ensure data hygiene and governance practices are maintained across all systems.
  • Build and maintain dashboards, scorecards, and reports for key stakeholders.
  • Provide actionable insights through data analysis on campaign performance.
  • Automate reporting processes and create self-serve data tools for internal stakeholders.
  • Collaborate with stakeholders to define KPIs and ensure consistent measurement across teams.

Requirements:

  • 4-7 years of experience in marketing operations, data analytics, or revenue operations.
  • Proven experience in configuring and integrating analytics tools with CRM platforms, especially HubSpot and Salesforce.
  • Strong analytical skills and proficiency in data visualization tools (eg, Tableau, Looker, Power BI).
  • Hands-on experience with marketing automation, tag management, data connectors, and APIs.
  • Solid understanding of lead lifecycle, campaign attribution, and sales/marketing funnel metrics.
  • Experience with tools such as Segment, Google Tag Manager, Datawarehouse.io, or Snowflake.
  • Background in B2B SaaS or similar data-driven industries.
  • Familiarity with SQL, Python, or similar for deeper data manipulation and automation.
  • Strong project management skills with the ability to lead cross-functional initiatives.
  • Excellent communication skills and business acumen.

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