Senior Analyst - Technology Services - 80649

The ideal candidate must possess a strong analytical mindset, domain awareness, and communication skills, with the ability to interpret complex data into actionable business insights. They should demonstrate ownership in reporting, ad-hoc analysis, and performance diagnostics, while collaborating with cross-functional teams to shape data-driven decision-making. Role and Responsibilities: 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, Sales and Revenue analytics and marketing frameworks. Experience with GCP, Adobe Analytics, Salesforce CRM systems, and marketing automation platforms. 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 Looker 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. Attribution Model Maintenance & Optimization: Maintain a pre-defined marketing attribution framework that aligns with corporate goals and integrates seamlessly with existing data infrastructure Technical and Functional Skills: BE/B.Tech or Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science or related field with 5+ 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 Looker, , 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 Google Analytics . Strong business acumen and the ability to translate data into meaningful recommendations for business teams.