Data Testing Revol Process Solutions
Revol Process Solutions
Office Location
Full Time
Experience: 2 - 2 years required
Pay:
Salary Information not included
Type: Full Time
Location: Chennai
Skills: Data Mining, Data Analysis, Data Modeling, algorithms, Stakeholder management, Quality Assurance, Python, Kibana, Communication skills, Google Analytics, Data Quality Analysis, Statistical Techniques, data tools, Simulations, Database Querying, Statistical languages R, Linux OS, Docker containers, Cloud environment AWS, data visualization tableau, machine learning techniques, Learning new technologies, Site Catalyst
About Revol Process Solutions
Job Description
You are an experienced Data Quality Analyst with 8-12 years of experience in the field. Your role will involve supporting the product team by analyzing large volumes of pre-processed and enriched third-party data to provide valuable insights. Your responsibilities will include interpreting extensive data sets using statistical techniques, generating reports on the impact of strategies, identifying trends or issues for senior management, and testing the effectiveness of different actions using models and data mining methods. You should be proficient in using various data analysis tools, building and implementing models, creating algorithms, and running simulations. Additionally, you will collaborate with multiple stakeholders and functional teams to improve business outcomes by uncovering solutions within large data sets. Key Responsibilities: - Evaluate the efficiency and accuracy of new data sources and gathering methods. - Collaborate with diverse functional teams to deploy models and monitor results. - Develop processes and tools to assess model performance, coverage, and data accuracy. Qualifications: - Minimum 7 years of Quality Assurance experience. - 5+ years of database querying experience (MYSQL, Oracle) and proficiency in statistical computer languages (R, Python) for data manipulation and insights. - Familiarity with Linux-based operating systems and exposure to Docker containers. - 3+ years of experience in a cloud-based environment (e.g., AWS). - 2+ years of expertise in data visualization tools such as Tableau/Kibana. - Knowledge of machine learning techniques like clustering, decision tree learning, artificial neural networks, etc., will be advantageous. - Strong written and verbal communication skills for effective team coordination. - Enthusiasm for learning new technologies and methodologies. - Experience in analyzing data from 3rd party providers (e.g., Google Analytics, Site Catalyst) and presenting insights to stakeholders.,