Senior Data Analyst

Job Title: Senior Data Analyst

Location:

Experience:

Industry Preference:

Job Summary

Senior Data Analyst

Key Responsibilities

• Perform advanced data analysis using

  Python/R

  , including data cleaning, transformation, feature engineering, and statistical modelling.
• Conduct

  exploratory data analysis (EDA)

  on large and complex datasets to uncover patterns, trends, and anomalies.
• Build and automate analytical reports, dashboards, and performance metrics to support business stakeholders.
• Partner with supply chain, operations, product, and business teams to understand requirements and deliver data-driven solutions.
• Develop predictive and descriptive analytics models to improve forecasting, planning, and operational efficiency.
• Work with data engineering teams to ensure data accuracy, integrity, and accessibility across systems.
• Present key insights and recommendations to leadership teams in a clear and concise manner.
• Drive continuous improvement in analytical processes and data quality.

Required Skills & Qualifications

• 4–6 years

  of experience as a Data Analyst or Senior Analyst.
• Strong command over

  Python or R

  for analytics (must have).
• Proficiency in

  Pandas, NumPy, Scikit-learn

  (if Python) and

  tidyverse, dplyr, ggplot2

  (if R).
• Solid experience in

  supply chain analytics or e-commerce analytics

  .
• Strong understanding of business KPIs: demand forecasting, inventory planning, order lifecycle, delivery performance, etc.
• Good knowledge of

  SQL

  for querying and validating data.
• Experience working with large datasets and data visualization tools (Tableau, Power BI, Looker, etc.).
• Strong problem-solving, analytical thinking, and communication skills.