Job Description

: Digital Analyst - 2 Roles with Band B2/C1. Requirements : SQL, Python, Statistics, A/B testing, Advanced Excel, Good Problem solving skills, good communication skills Job Summary: We are seeking a results-driven Analytics Manager with a strong foundation in SQL, Python, and Statistics to lead data-driven decision-making across teams. You will design and oversee A/B testing initiatives, build data pipelines, and extract actionable insights to influence business strategy. This role also requires advanced Excel proficiency, excellent communication skills, and strong problem-solving capabilities to manage cross-functional stakeholders and deliver impactful analytical solutions. Key Responsibilities: Lead a team of analysts or data scientists to deliver high-impact business insights. Design and manage controlled experiments (A/B tests) to guide product and marketing decisions. Write efficient, scalable SQL queries to extract data from large, complex databases. Use Python (Pandas, NumPy, SciPy, scikit-learn, etc.) to perform advanced statistical modeling and data analysis. Analyze large datasets to identify trends, forecast outcomes, and generate business recommendations. Collaborate with stakeholders to translate business needs into technical requirements and analytics roadmaps. Present findings clearly to technical and non-technical audiences using dashboards, reports, and presentations. Use Advanced Excel for quick-turn analysis, reporting automation, and what-if modeling. Develop and maintain KPIs and dashboards to monitor business performance. Mentor junior team members and help shape the analytics culture within the organization. Required Skills and Qualifications: Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. 5-8 years of relevant experience in analytics, data science, or business intelligence. Strong command of SQL and experience working with relational databases. Proficiency in Python for data analysis and modeling. Solid foundation in Statistics (regression, hypothesis testing, confidence intervals, etc.). Hands-on experience designing and interpreting A/B and multivariate tests . Proficiency in Advanced Excel (e.g., pivot tables, Power Query, VBA/macros, complex formulas). Excellent problem-solving skills with a strategic and analytical mindset. Strong communication skills , with experience presenting to executives or cross-functional teams. Preferred Qualifications: Experience working with BI tools (e.g., Tableau, Power BI, Looker). Familiarity with cloud platforms (e.g., AWS, GCP, or Azure). Exposure to Agile development and data product management.