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Systems Analyst
Qentelli Solutions Private Limited Hiring For Data Analyst_Immediate (Permanent) at Hyderabad , Secunderabad, Telangana Full Time
Job Description
Years of Experience:
– 3-6 years of overall experience
– 2-3 years of experience in data analytics, data strategy, and reporting
Key Responsibilities:
Implement Data warehouse concepts and Data modelling principles
Data mining and extracting usable data from valuable data sources
Enhancing data collection procedures to include all relevant information for developing analytic systems
Analysing large amounts of information to find patterns and solutions
Gather business requirements, collect data from different data sources, generate metrics, build reports, provide data insights and document the process.
Perform mapping of data sources, data movement, and analytics, with the goal of ensuring data quality using ETL Methodologies and tools
Use Tableau to develop and deliver metrics dashboards as well as standardized, custom, and ad hoc reporting for key stakeholders
Manage expectations and escalate issues as needed to ensure timely delivery of results
Work with Analytics leadership to identify and execute continuous improvement initiatives
Prepare spreadsheets, Prep flows, SQL queries, and Tableau dashboards that perform calculations to allow data to be viewed across many parameters
Execute the pre QA test scripts to confirm the validity of the inputs received
Ensure the accuracy of metrics by performing detailed quality reviews, data testing, and technical troubleshooting for Level-1 issues
Create, build and deliver specific custom analysis projects as determined by needs of the business
Visual presentation of quantitative information through tools such as PowerPoint and Tableau
Manage end to end surveys and practitioner outreach activities including designing and rolling out surveys, monitoring results, closing surveys, tracking and reporting results
Ability to interact with customers to present standard offerings, insights and findings
Implement Data warehouse concepts and Data modelling principles
Data mining and extracting usable data from valuable data sources
Enhancing data collection procedures to include all relevant information for developing analytic systems
Analysing large amounts of information to find patterns and solutions
Gather business requirements, collect data from different data sources, generate metrics, build reports, provide data insights and document the process.
Perform mapping of data sources, data movement, and analytics, with the goal of ensuring data quality using ETL Methodologies and tools
Use Tableau to develop and deliver metrics dashboards as well as standardized, custom, and ad hoc reporting for key stakeholders
Manage expectations and escalate issues as needed to ensure timely delivery of results
Work with Analytics leadership to identify and execute continuous improvement initiatives
Prepare spreadsheets, Prep flows, SQL queries, and Tableau dashboards that perform calculations to allow data to be viewed across many parameters
Execute the pre QA test scripts to confirm the validity of the inputs received
Ensure the accuracy of metrics by performing detailed quality reviews, data testing, and technical troubleshooting for Level-1 issues
Create, build and deliver specific custom analysis projects as determined by needs of the business
Visual presentation of quantitative information through tools such as PowerPoint and Tableau
Manage end to end surveys and practitioner outreach activities including designing and rolling out surveys, monitoring results, closing surveys, tracking and reporting results
Ability to interact with customers to present standard offerings, insights and findings
Technical Skills:
– Experience with Python programming.
– Experience with data wrangling ability to interpret and clean data using Python.
– Working experience with Python & libraries like TensorFlow, PyTorch, Transformers, scikit-learn, and Keras.
– Experience dealing with both structured & unstructured datasets and drawing insights from the data.
– Good understating of statistical methods sampling, modelling, hypothesis testing and interpreting model results (t value / z scores).
– Ability to build and fine tune algorithms that scale up from small-scale proof-of-concept stage to full production systems.
– Experience with text analytics & NLP libraries preferred.
– Experience with Databricks preferred.
– Agile development experience preferred.
– Familiarity in at least some visualization tools such as Tableau.
– Familiarity with Azure deployments preferred.
– Strong Tableau Desktop skills required
– Experience with Python programming.
– Experience with data wrangling ability to interpret and clean data using Python.
– Working experience with Python & libraries like TensorFlow, PyTorch, Transformers, scikit-learn, and Keras.
– Experience dealing with both structured & unstructured datasets and drawing insights from the data.
– Good understating of statistical methods sampling, modelling, hypothesis testing and interpreting model results (t value / z scores).
– Ability to build and fine tune algorithms that scale up from small-scale proof-of-concept stage to full production systems.
– Experience with text analytics & NLP libraries preferred.
– Experience with Databricks preferred.
– Agile development experience preferred.
– Familiarity in at least some visualization tools such as Tableau.
– Familiarity with Azure deployments preferred.
– Strong Tableau Desktop skills required
