Lead Analytics Specialist

The Role:

Roles and Responsibilities:

• You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed
• You would have/develop a strong understanding of the business & product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML
• You would apply excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view
• You would conduct exploratory analyses, cohort studies, and funnel deep dives to uncover actionable insights that drive campaign efficiency, customer LTV, and retention strategies.
• You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms
• You will develop compelling stories with business insights, focusing on strategic goals of the organization
• You will work closely with

  Sales, Marketing, and Growth teams

  to optimize campaign performance, measure ROI, and improve attribution modeling and bid optimization.
• Set high standards in project management; own scope and timelines for the team
• Take responsibility for skill-building within the organization (training, process definition, research of new tools and techniques etc.)
• Drive central analytics initiatives that improve efficiency, automation, and standardization across analytics workflows.
• Mentoring analysts within the team to deliver effectively, incubating new ideas.

Mandatory Qualifications:

• Bachelor's/Master’s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field
• 5-7 years of high quality hands-on experience in analytics and data science and 3+ years on AdTech or MarTech
• Mandatory experience in Ad Network Analytics – including campaign attribution, bid optimization, CAC/LTV modeling, and ad spend efficiency.
• Hands on experience in SQL and Python
• Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc.

Preferred Qualifications

• Experience in product analytics, including feature experimentation and user behavior analysis.
• Exposure to machine learning models for churn prediction, personalization, and marketing automation.
• Working knowledge of web analytics, growth marketing, and performance marketing strategies.