Data Analyst Analytics Fresher Excel Python

• We believe
• in trust we trust each other to do the right things!
• We believe in taking decisions as close to the product and technical expertise as possible.
• We believe in creativity trying new things and learning from our mistakes .
• We believe in sharing our insights and helping one another to build an even better user plane.
• We truly believe in happiness we enjoy and feel passionate about what we do and value each other s technical competence deeply.
• What you will doBe building sophisticated statistical models algorithms and trend analysis in order to discover predictive insights related to network and business objectives
• Translate data algorithms and sophisticated ideas into Data driven Engineering product
• Translate operator business objectives into business intelligence trough regressive data analytics
• Working on BigData tools and technologies to sustain our continued operational transformation objectives and market leadership
• Research and develop approaches on how to improve business processes and customers experience by using our vast amounts of data.
• You will bring Good knowledge of statistical analysis theory of probabilities design of experiments and machine learning. Acuity for business flow understanding and expertise in data preparationdata mining and preprocessing and documentation skills.
• Software development Experience in python using Web services Flask Django Pyspark Docker REST API etc. Solid Grasp of SQL PL/SQL SQL Server PostgreSQL.
• Solid Command of programming language and software environment for statistical analysis graphics representation and reporting i.e. R Python; Tableau.
• Deployment experience on Use cases.

• Work with crossfunctional teams to assess data analytics use cases and solutions.
• Build and maintain dashboards and reports using SQL Python Spreadsheet tools like Google Sheets Excel and BI Tools like Tableau Looker etc.
• Monitor dashboards performance and make improvements as necessary.
• Automate daily weekly monthly and quarterly reports and schedule their delivery.
• Maintain Documentation to support Knowledge retention.
• Like to work in a dynamic complex international and everchanging environment.
• Stay curious and uptodate with the latest developments in the field of data analytics.

• Bachelor s degree in Quantitative Field.
• (01)of experience as a Data Analyst/Data Engineer.
• Working knowledge of: SQL Python Data Stack Libraries (Numpy Pandas Matplotlib Seaborn IPython Jupyter Notebooks)
• Python Scripting and Automation
• Building interactive dashboards/reports using Tableau/Looker.
• Linux Shell Scripting
• AWS Cloud Services (EC2 S3 Redshift CloudWatch)
• Building ETL/ELT Pipelines
• Curious Mindset Attention to detail and good problem solving skills.
• Excellent Communication and Collaboration skills.

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