Associate Process Manager

We are looking for candidates with strong analytical thinking, business acumen, and experience in turning data into actionable insights to support both day-to-day operations and strategic decisions.

• Strong hands on knowledge of marketing analytics and marketing frameworks.
• Hands on tools like Adobe Analytics.
• Conduct deep-dive analyses to identify performance trends, diagnose drivers , and uncover opportunities for process or strategy optimization .
• Frame and test data-driven hypotheses , define KPIs and metrics to assess outcomes.
• Collaborate with stakeholders across business, product, and marketing teams to define analytics requirements and translate them into structured analysis
• Proficient in visualization using Tableau, PowerBI with hands on SQL.
• Lead regular and ad-hoc reporting and insight generation to support business-as-usual (BAU) activities.
• Provide actionable recommendations based on data trends, statistical analyses , and visualizations.
• Support design of experimentation frameworks and testing methodologies (e.g., A/B testing, pre-post analysis ).
• Document analytical approaches and ensure consistency and accuracy in data interpretation.

• BE/B.Tech or Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science or related field with 6+ years of experience in data analytics or business intelligence.
• Strong proficiency in SQL for data querying and transformation.
• Experience in data visualization and dashboarding using Tableau, Power BI , or equivalent tools.
• Hands-on with Excel , and familiarity with scripting languages like Python or R (good to have).
• Solid understanding of statistical techniques and their applications in experimentation and optimization (e.g., A/B testing, regression analysis).
• Ability to independently explore data, structure analytical approaches, and present compelling narratives from data insights.
• Strong knowledge of marketing analytics and marketing frameworks.
• Able to analyze and conduct impacting driver analysis.
• Exposure to tools like Adobe Analytics
• Strong business acumen and the ability to translate data into meaningful recommendations for business teams.