Razormet Technologies Hiring Drive 2024 For Data Analyst Trainee (Python /SQL/Power BI) | Work From Home

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Razormet Technologies Hiring Drive 2024: Razormet Technologies Hiring Drive 2024 for its Data Analyst Trainee(Python/SQL/Power BI). Razormet Technologies Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor s degree. if you are interested, please apply as soon as possible.

Company Name: Razormet Technologies

Role: Data Analyst Trainee(Python/SQL/Power BI)-

Location: Remote

Experience: 0 – 1 years

Qualification: Bachelor s degree

Batch: Any

Job Type: Full Time

Salary: INR 400,000 – 500,000

Razormet Technologies Hiring Drive 2024


  • Expertise in building analytical solutions and delivering tangible business value for clients (similar to the use cases below)
  • Price optimization, promotion effectiveness, Product assortment optimization and sales force effectiveness, Personalization/Loyalty programs, Labor Optimization
  • CLM and revenue enhancement (segmentation, cross-sell/up-sell, next product to buy, offer recommendation, loyalty, LTV maximization and churn prevention)


  • You will be a clear and confident communicator, able to deliver messages in a concise manner with strong and effective written and verbal communication.
  • Strong proficiency in statistics (concepts & methodologies like hypothesis testing, sampling, etc.) and its application & interpretation
  • Hands-on data mining and predictive modeling experience (Linear Regression, Clustering (K-means, DBSCAN, etc.), Classification (Logistic regression, Decision trees/Random Forest/Boosted Trees),
  • Timeseries (SARIMAX/Prophet))etc.
  • Strong experience in at least one of the prominent cloud providers (Azure, AWS, GCP) and working knowledge of auto ML solutions (Sage Maker, Azure ML etc.)
  • At least one tool in each category
  • Programming language – Python (Must have), (R Or SAS OR PySpark), SQL (Must have)
  • Data Visualization (Tableau, QlikView, Power BI, Streamlit) ,
  • Data management (using Alteryx, MS Access, or any RDBMS)
  • ML Deployment tools (Airflow, MLflow Luigi, Docker etc.)
  • Big data technologies ( Hadoop ecosystem, Spark)
  • Data warehouse solutions (Teradata, Azure SQL DW/Synapse, Redshift, BigQuery etc,)
  • Version Control (Git/Github/Git Lab)
  • MS Office (Excel, PowerPoint, Word)
  • Coding IDE (VS Code/PyCharm)
  • GenAI tools (OpenAI, Google PaLM/BERT, Hugging Face, etc.)

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