Manager

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.