Manager, Data Analytics (Growth)

5 - 9 years

0 Lacs

Posted:1 month ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

Role Overview: Headout is seeking a leader to take charge of the Business & Marketing data functions, with the aim of converting raw data into strategic insights that will propel the next phase of global expansion. This is not just an analytics role; it is a leadership position with a mandate to shape the future of growth at Headout. Key Responsibilities: - **Own the Strategic Narrative:** Develop the end-to-end analytical roadmap for the Growth and Marketing teams. Translate complex datasets into clear, compelling narratives and present findings to senior leadership to influence the P&L and strategic direction. - **Partner with Leadership:** Act as a strategic partner to leadership across Marketing, Business, and Operations. Provide critical insights that shape decisions on budget allocation, channel optimization, and international growth. - **Build and Mentor a World-Class Team:** Recruit, manage, and nurture a team of skilled data analysts. Cultivate a culture of excellence, curiosity, and impact, enhancing the team's expertise in analytics, storytelling, and commercial thinking. - **Drive Business Impact:** Move beyond insights to deliver tangible outcomes. Design and analyze A/B tests, construct sophisticated attribution models, and establish frameworks to measure the ROI of growth initiatives, ensuring effectiveness and efficiency. Qualifications Required: - **A Leader and Influencer:** Demonstrated experience in managing and mentoring analysts, along with the ability to collaborate with and influence senior business stakeholders. - **Strong Commercial Acumen:** Think like a business owner, connecting data points to financial outcomes and articulating the significance of analyses. - **Deep Domain Expertise:** Hands-on experience in untangling digital marketing and business analytics complexities. Proficient in dissecting performance marketing channels and modeling business drivers. - **Technical Proficiency:** Advanced skills in SQL for complex analysis, familiarity with a scripting language like Python or R for statistical modeling, and experience with modern BI tools and data warehousing concepts. - **A Pragmatic and Strategic Mindset:** Analytical and creative thinker who can navigate ambiguity. Bias for action and adept at making trade-offs between speed, depth, and accuracy. - **Passion for the Mission:** Excited by the challenge of leveraging data to help individuals explore and experience the world. (Note: The section on EEO statement and Privacy policy has been omitted for brevity.),

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