Data Analysis Leader

4 hours ago

Aligarh, Uttar Pradesh, India beBeeLeadership Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
About Data Analysis Leadership Role

As an expert in data analysis, you will lead our analytics function and drive strategic insights across the business.

This high-impact leadership role is responsible for building and scaling a data-driven culture, enabling informed decision-making, and aligning analytics with business goals.

You will work cross-functionally with product, marketing, sales, finance, and engineering teams to deliver actionable insights, improve operational efficiency, and support long-term growth.

Key Responsibilities:
  • Develop and execute performance marketing strategies across various digital channels to drive customer acquisition and revenue growth.
  • Build, lead, and mentor a high-performing analytics team, including data analysts, BI engineers, and data scientists.
  • Define team structure, roles, and responsibilities to align with business priorities.
  • Analyze campaign performance and continuously optimize bids, targeting, creatives, and messaging to ensure maximum ROI.
  • Monitor and manage daily, weekly, and monthly performance reports, ensuring campaigns stay on track and meet performance goals.
  • Collaborate with engineering and data teams to ensure data quality, consistency, and scalability of analytics infrastructure.
Requirements
  • 8 - 10 years of experience in analytics, business intelligence, or growth roles with at least 4+ years leading analytics teams in a B2B SaaS company.
  • Demonstrate a proven track record of achieving significant ROI from marketing budgets, consistently meeting or exceeding performance targets and KPIs.
  • In-depth knowledge of performance marketing channels, including search (Google, Meta) and other channels.
  • B2B SaaS marketing experience is mandatory, with a proven track record of executing and optimizing performance marketing campaigns in a B2B environment.
  • Strong proficiency with analytics tools (e.g., Looker, Tableau, Mode), SQL, and data modeling concepts.
  • Experience with data warehouses (Snowflake, BigQuery, Redshift) is a plus.
  • Ability to translate complex data into compelling business stories for executives and drive alignment on strategic decisions.

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