Data Analyst

Quberoot Analytics LLP
Experience: 0 - 5 years
CTC Offered: Not Disclosed
Locations: Bengaluru( Hoodi )
Job description Job Description: Interpreting data, analysing results using statistical techniques Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality Acquiring data from primary or secondary data sources and maintaining databases Need to have technical knowledge on data models, data designing Interpret data, analyze results using statistical techniques and provide ongoing reports Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality Acquire data from primary or secondary data sources and maintain databases/data systems Identify, analyze, and interpret trends or patterns in complex data sets Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems Work with management to prioritize business and information needs Locate and define new process improvement opportunities Job Summary Support our product and team with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes Responsibilities and Duties Mine and analyse data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Develop company A/B testing framework and test model quality. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyse model performance and data accuracy. Required Candidate profile Strong problem-solving skills with an emphasis on product development. Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques Were looking for someone with 3-4 years of experience manipulating data sets and building statistical models, has a Bachelor / Masters in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools: Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Experience in developing full-fledged websites in Python using Django. Experience using web services: Redshift, S3, Spark, DigitalOcean, etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc. RoleData Analyst Industry TypeKPO, Research, Analytics Functional AreaAnalytics & Business Intelligence Employment TypeFull Time, Permanent Role CategoryAnalytics & BI Education UG :Any Graduate in Any Specialization PG :MS/M.Sc(Science) in Any Specialization, Statistics, Maths Doctorate :Any Doctorate in Any Specialization, Doctorate Not Required Key Skills Predictive ModelingProduct DevelopmentData AnalysisData MiningProcess ImprovementProcess OptimizationData CollectionData AnalyticsRevenue Generation
Quberoot Analytics LLP
Role: Data Analyst
Department: Analytics & Business Intelligence
Graduation Required: Any Graduate in Any Specialization
Post Graduation Required: MS/M.Sc(Science) in Any Specialization, Statistics, Maths
Doctrate Required: Any Doctorate in Any Specialization, Doctorate Not Required
KPO Research Analytics
Employment Type:
Full Time Permanent
Predictive Modeling Product Development Data Analysis Data Mining Process Improvement Process Optimization Data Collection Data Analytics Revenue Generation