📌 Job Summary

Company: Xpressbees (BusyBees Logistics Solutions Pvt Ltd)

Role: Senior Data Analyst – R/SQL/Python

Location: Pune, Maharashtra, India

Experience: 4 – 6 Years

Posted On: 30/01/2026

Key Skills: Strong proficiency in Python or R for data analytics, SQL querying, statistical modelling, exploratory data analysis, feature engineering, and large dataset manipulation. Experience in supply chain or e‑commerce analytics is preferred. :contentReference[oaicite:0]{index=0}

🧠 Job Description

Xpressbees is looking for an experienced Senior Data Analyst to extract meaningful insights from complex datasets and support data‑driven decision making across supply chain and logistics operations. You’ll collaborate with operations, product, and business teams to build analytical models, automated reports, dashboards, and performance metrics. :contentReference[oaicite:1]{index=1}

Main Responsibilities

• Perform advanced data analysis using Python or R, including cleaning, transformation, feature engineering and statistical modelling. :contentReference[oaicite:2]{index=2}
• Conduct exploratory data analysis (EDA) on large and complex datasets to uncover trends and anomalies. :contentReference[oaicite:3]{index=3}
• Build, automate, and maintain analytical dashboards, reports, and KPIs. :contentReference[oaicite:4]{index=4}
• Collaborate with business stakeholders for requirements and deliver actionable insights. :contentReference[oaicite:5]{index=5}
• Develop predictive and descriptive models to enhance forecasting, planning, and operational efficiency. :contentReference[oaicite:6]{index=6}
• Work with data engineering teams to ensure data accuracy, integrity and accessibility. :contentReference[oaicite:7]{index=7}
• Communicate insights and recommendations clearly to leadership. :contentReference[oaicite:8]{index=8}

💼 Salary Expectations

Senior Data Analyst roles in supply chain and e‑commerce domains in India typically range from about ₹10 LPA to ₹25 LPA+ depending on experience, domain expertise, analytics depth, and negotiation. Data professionals with strong Python/R and SQL skills are in high demand in logistics and tech‐driven sectors. (Indicative market range based on current analytics roles in India.)

📘 How to Prepare for This Role

• Python & R: Master libraries such as Pandas, NumPy, Scikit‑learn (Python) or tidyverse dplyr, ggplot2 (R) for advanced analytics. :contentReference[oaicite:9]{index=9}
• SQL Expertise: Write optimized SQL queries to extract, join, and validate large datasets efficiently. :contentReference[oaicite:10]{index=10}
• Statistical Modelling: Understand fundamentals of regression, classification models, hypothesis testing and forecasting. :contentReference[oaicite:11]{index=11}
• Data Visualization: Build dashboards and visual insights using tools like Tableau, Power BI or Looker. :contentReference[oaicite:12]{index=12}
• Supply Chain Analytics: Familiarize with KPIs such as demand forecasting, inventory planning, delivery performance and order lifecycle. :contentReference[oaicite:13]{index=13}
• Communication Skills: Practice presenting technical findings in a clear and business‑relevant way. :contentReference[oaicite:14]{index=14}

🏢 About Xpressbees (BusyBees Logistics Solutions)

Xpressbees is a leading logistics and supply chain services company providing end‑to‑end delivery solutions domestically and internationally. It serves e‑commerce platforms, enterprises, and retailers with logistics including last‑mile delivery, warehousing, and supply chain analytics support. The company leverages data extensively to optimize operations and customer experiences across markets. :contentReference[oaicite:15]{index=15}

🌍 Company Culture & Reviews

Employee reviews generally reflect a performance‑oriented culture that values analytical thinking and process improvements. Teams often emphasize collaboration across functions, while career growth and role experiences can vary by project and business unit. (Based on broader employee sentiment for analytics roles within logistics and supply chain sectors.)

🔥 Market Trends & Outlook

Data analytics continues to be critical in logistics and e‑commerce, where insights drive operational efficiencies, forecasting accuracy, and customer satisfaction. Analysts with strong programming (Python/R), SQL, and data visualization skills have growing opportunities in supply chain, retail tech, and business intelligence functions across sectors. :contentReference[oaicite:16]{index=16}

⚖️ Pros & Cons of This Role

Pros	Cons
Work on meaningful supply chain & e‑commerce data analytics	Role requires deep technical and domain expertise
Opportunity to influence business decisions	Expectation for cross‑functional collaboration can be high
Exposure to advanced analytics & predictive modelling	May involve tight deadlines or large dataset challenges

🔗 Apply Now

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