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2 Days ago

Data Scientist(Ecommerce)

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Thane, Maharashtra, India
Information Technology
Full-Time
LTIMindtree

Overview

Summary

Role description

We are seeking a highly skilled and motivated Data Analyst to join our growing data analytics team In this role you will focus on analyzing our ecommerce clickstream and user behavior data to provide actionable insights that drive business growth and inform our product roadmap You will leverage your expertise in tools like Adobe Analytics GCP BigQuery SQL and Python to extract analyze and visualize complex data sets Working closely with our Senior Data AnalystArchitect you will contribute to the strategic direction of our product development efforts

Responsibilities

  • Ecommerce Clickstream Analysis Analyze rich ecommerce clickstream data using Adobe Analytics to understand user journeys identify dropoff points and uncover opportunities for website optimization and improved user experience
  • User Behavior Analysis Investigate user behavior patterns segmentation and preferences to gain deep insights into customer interactions with our ecommerce platform
  • Data Extraction and Manipulation Utilize SQL and Python to query extract clean and transform large datasets from our data warehouse GCP BigQuery
  • Data Visualization and Reporting Create insightful dashboards reports and presentations using data visualization tools to effectively communicate findings and recommendations to stakeholders across different teams
  • Collaborate on Product Roadmap Work closely with the Senior Data AnalystArchitect to translate datadriven insights into actionable recommendations that contribute to the development and prioritization of the product roadmap
  • Identify Key Metrics and KPIs Define and track key performance indicators KPIs to measure the success of product features and website changes based on data analysis
  • Conduct AB Testing Analysis Support and analyze the results of AB testing experiments to optimize user engagement and conversion rates
  • Partner with CrossFunctional Teams Collaborate with product managers marketing teams and engineering teams to understand their data needs and provide them with relevant and timely insights
  • Ensure Data Quality and Integrity Maintain data accuracy and consistency by implementing data quality checks and collaborating with data engineering teams to resolve any data discrepancies
  • Stay Updated on Industry Trends Continuously learn and stay uptodate with the latest trends and best practices in ecommerce analytics and data analysis techniques

Qualifications

  • Bachelors degree in a quantitative field such as Statistics Mathematics Computer Science Economics or a related area
  • Proven experience 2 years as a Data Analyst preferably with a focus on ecommerce analytics
  • Handson experience with Adobe Analytics for tracking and analyzing website traffic and user behavior
  • Strong proficiency in SQL for querying and manipulating large datasets
  • Solid programming skills in Python for data analysis manipulation and automation experience with libraries like Pandas NumPy Matplotlib Seaborn is preferred
  • Experience working with cloudbased data warehouses preferably GCP BigQuery
  • Experience with data visualization tools eg Tableau Looker Power BI to create compelling and informative dashboards and reports
  • Strong analytical and problemsolving skills with the ability to interpret complex data and extract actionable insights
  • Excellent communication and presentation skills with the ability to clearly convey technical findings to nontechnical audiences
  • Ability to work independently and collaboratively in a fastpaced environment

Skills

  • Adobe Analytics
  • GCP BigQuery
  • SQL
  • Python Pandas NumPy Matplotlib Seaborn
  • Ecommerce Analytics
  • User Behavior Analysis
  • Clickstream Data Analysis
  • Data Visualization
  • Data Reporting
  • AB Testing Analysis
  • Product Roadmap Contribution
  • Statistical Analysis
  • Data Mining
  • Communication Written Verbal
  • ProblemSolving
  • Teamwork

Skills

Mandatory Skills : Data Science / E commerce
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