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
Requirements:
- 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)
Responsibility:
- 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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