Senior Marketing Insights Analyst

1 day ago

Chennai, Tamil Nadu, India beBeeData Full time ₹ 1,80,00,000 - ₹ 2,10,00,000

About our role:
We are seeking a skilled Data Analyst with expertise in marketing analytics, programming, and martech platforms. This individual will work at the intersection of strategy and technology, enabling data-driven decision-making through performance tracking, revenue attribution, and marketing automation.

Key Responsibilities

Data Integration & Analysis:

  • Consolidate and analyze data from various sources, including websites, digital campaigns, CRM systems, and sales pipelines.
  • Map and normalize datasets to create unified customer and account journeys.
  • Build structured views for evaluating campaign and marketing channel performance.

Revenue Attribution & Performance Tracking:

  • Develop models to attribute pipeline and revenue to specific marketing activities.
  • Design dashboards to visualize lead flow, conversions, and ROI.
  • Support multi-touch attribution and optimize channel spend.

Automation & Reporting:

  • Build scripts and workflows for ETL, reporting, and visualization.
  • Maintain automated data pipelines for real-time analytics.
  • Collaborate with marketing and sales teams to calibrate dashboards and KPIs.

Insights & Strategy:

  • Translate data into performance narratives and strategic recommendations.
  • Identify patterns and gaps in the marketing funnel and customer behavior.
  • Recommend improvements in targeting, content, and resource allocation.

Qualifications & Skills:

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field.
  • 3+ years of experience in marketing analytics or a data analyst role in a digital environment.
  • Proficiency in Python, SQL, or similar for data processing and automation.
  • Experience with marketing tools and platforms (CMS, campaign management, email automation).
  • Strong skills in data visualization (Power BI, Tableau, Looker, or Google Data Studio).
  • Familiarity with marketing attribution models and customer data platforms (CDPs).
  • Understanding of APIs and cross-platform data extraction methods.
  • Strong analytical, communication, and storytelling skills.

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