Key Responsibilities

• Define, test and evaluate growth initiatives
• Lead a cross-functional growth hacker team responsible for helping drive user growth through experimentation and prototyping
• Work with engineering, design and the rest of the product team to execute initiatives
• Tinker with platform APIs and help create industry-leading growth tactics
• Analyse and report growth success to the management team
• Influence the product, especially UX, copy, and messaging, based on your understanding of what users want.
• Driving Revenue, MOM growth for Online Business and

Brand

• Marketing Strategy and

  Execution: Budgets and

  ROI

• Manage Digital Marketing, Web and

  Product Analytics Practice

• Traffic Scale Up : Leveraging Marketing channels like Organic (SEO), Referral, Facebook paid, Search (Google CPC) paid, Re-marketing, Display, E-mail, SMS, Affiliates and

  Alliances

• Conversion Improvement : Web / Mobile / App: Funneling and

  Optimization

• UX and

  UI, Search and

  Discovery, Recommendation and

  Personalization, Social and

  Price Optimization

• CRM and

  Loyalty : Lead generation, RFM, Profitability, LTV, Profitability (Cross Sell and

  Up Sell), Repeat Rate, Referral

• Using web analytics tools such as Google Analytics and Heap, draw insights in the performance of various pages across desktop and mobile web.
• Ideate new ways to improve conversion rates across our desktop and mobile channels.
• Implement and analyse A/B experiments for execution of product ideas.
• Work with product managers to ask questions of data and probe deeper with minimal guidance.
• Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our core products.
• Understand and improve processes based on quantitative insights on value addition by them.
• Be the go-to guy for product related numbers.

  Qualifications

• B.Tech/M.Tech/MBA degree or equivalent
• 2 to 5 years of experience in an analytical role for a consumer web product company.
• Experience with SQL, statistics, and A/B experiments.

Preferred

• Experience analyzing large data sets and distributed computing using SQL, spreadsheet software, and other quantitative and statistical modeling technologies and tools.
• Proven experience in identifying opportunities for business or product improvement, and defining and measuring the success of those initiatives.
• Ability to initiate and drive projects to completion with little guidance.
• Exceedingly strong written and verbal communication to convey analyses in an effective manner. Excellent problem-solving and analytical skills.
• Basic knowledge of MS excel, Python and R
• Experience with web analytics tools, like Google Analytics, Omniture, Mixpanel, Localytics preferred digital marketing, growth hacking, online marketing, google analytics, mixpanel, traffic scaleup, seo, product analytics