Automation Testing-Experience in SAP Testing and API Testing using Tricentis Tosca.
Experience in SAP Manual Testing, API Testing, Test Management Tool : ALM/ qTest
Mastery of Tricentis Tosca (AS1, AS2, and TDS certifications preferred).
Responsibilities
Automation Testing-Experience in SAP Testing and API Testing using Tricentis Tosca.
Experience in SAP Manual Testing, API Testing, Test Management Tool : ALM/ qTest
Mastery of Tricentis Tosca (AS1, AS2, and TDS certifications preferred).
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Summary
We are looking for a detail-oriented Data Analyst to analyze large datasets and provide actionable insights to support business decisions. The candidate should have strong SQL skills and experience in data visualization tools.
Key Responsibilities
• Analyze large datasets to derive actionable business insights
• Write complex SQL queries for data extraction, transformation, and validation
• Build and maintain dashboards using Tableau / Power BI
• Perform data cleaning, validation, and preprocessing
• Identify trends, patterns, and anomalies in data
• Collaborate with cross-functional teams (Product, Business, Engineering)
• Conduct A/B testing and statistical analysis
• Automate reporting processes
• Work on ETL processes and data pipelines
• Present insights using clear visualizations
Responsibilities
Required Skills
• Strong SQL skills
• Experience with Tableau / Power BI
• Knowledge of data analysis and visualization
• Understanding of ETL processes
• Basic statistical knowledge
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Data Scientist Z2
Description
• Data Analysis and Exploration: Building Predictive Models: Advanced Machine Learning and Deep Learning:
• Collaboration and Communication Business Strategy and Decision Support:
• Tech Stack; Deep learning, AI,ML,Statistics,NLP, Python,ADB,Pyspark, any cloud (preferbly Azure), Scikit-learn, Keras, TensorFlow, and PyTorch. Qualifications:
• Having relevant Experience in MS Azure, Snowflake, DBT& Big Data Hadoop eco-system components
• Understanding of Hadoop Architecture and underlying framework including Storage Management.
• Strong understand and implementation experience in Hadoop, Spark, Hive/Databricks
• Strong SQL and Programing skills
• Experience with DataBricks is desirable
• Understanding / Implementation experience with CICD tools such as Jenkins, Azure DevOps, GITHUB is desirable.
• Driving Data-Driven Decisions: Working with business leaders to turn data insights into actionable strategies that drive decision-making and improve business outcomes.
• Collaboration with Stakeholders: Working closely with product managers, business analysts, software engineers, and other stakeholders to understand business objectives and ensure the data science solutions align with company goals. Implementation of Advanced Techniques: Applying advanced machine learning algorithms like ensemble methods, natural language processing (NLP), time-series forecasting, and deep learning architectures such as neural networks (CNN, RNN).
• Model Selection and Development: Choosing the right machine learning (ML) algorithms based on business objectives, data characteristics, and performance requirements (e.g., regression, classification, clustering). Advanced Data Cleaning and Preprocessing: Ensuring data is in the proper format, handling missing values, outliers, and data inconsistencies, and preparing it for analysis.
Responsibilities
Data Scientist Z2
Description
• Data Analysis and Exploration: Building Predictive Models: Advanced Machine Learning and Deep Learning:
• Collaboration and Communication Business Strategy and Decision Support:
• Tech Stack; Deep learning, AI,ML,Statistics,NLP, Python,ADB,Pyspark, any cloud (preferbly Azure), Scikit-learn, Keras, TensorFlow, and PyTorch. Qualifications:
• Having relevant Experience in MS Azure, Snowflake, DBT& Big Data Hadoop eco-system components
• Understanding of Hadoop Architecture and underlying framework including Storage Management.
• Strong understand and implementation experience in Hadoop, Spark, Hive/Databricks
• Strong SQL and Programing skills
• Experience with DataBricks is desirable
• Understanding / Implementation experience with CICD tools such as Jenkins, Azure DevOps, GITHUB is desirable.
• Driving Data-Driven Decisions: Working with business leaders to turn data insights into actionable strategies that drive decision-making and improve business outcomes.
• Collaboration with Stakeholders: Working closely with product managers, business analysts, software engineers, and other stakeholders to understand business objectives and ensure the data science solutions align with company goals. Implementation of Advanced Techniques: Applying advanced machine learning algorithms like ensemble methods, natural language processing (NLP), time-series forecasting, and deep learning architectures such as neural networks (CNN, RNN).
• Model Selection and Development: Choosing the right machine learning (ML) algorithms based on business objectives, data characteristics, and performance requirements (e.g., regression, classification, clustering). Advanced Data Cleaning and Preprocessing: Ensuring data is in the proper format, handling missing values, outliers, and data inconsistencies, and preparing it for analysis.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
