UG :- - Not Required
PG :- - Not Required
No of position :- ( 1 )
Post :- 23rd Nov 2022
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
Work with business stakeholders, project managers, business analysts, and other IT teams to understand the business needs and their requirements
Accountable for Data Management that includes fully scalable relational database management system and ETL- Set of methods and tools to extract data from outside sources, transform it to fit an organization`s business needs, and load it into a target such as the organization`s data warehouse.
Responsible for designing, developing, implementing, and managing distributed applications and systems on the On-premise or Cloud platform.
Responsible for ETL development, data analysis, technical design, and testing.
You would be an individual contributor and/or oversee a small work effort and/or team.
Able to shift between priorities as needed throughout the workday.
Often require to take a lead role in the entire development cycle, conduct design, and code reviews, and have a heavy input throughout the process, from requirements to production deployment.
Degree in computer science or equivalent preferred
Proven working experience as a Data Analyst or Business Data Analyst
5 Years of Hands-on experience with data modeling, database design, data mining, and segmentation techniques.
5 years of experience in SQL database and TSQL.
3 years of experience on ETL frameworks - Informatica or SSIS.
Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SSIS, SAS, etc.)
Experience in data analysis using SQL, Excel, Power BI, or Tableau (Prefer to have any one of the BI tools)
Strong analytical skills with the ability to collect, organize, analyze, and broadcast significant amounts of information with attention to detail and accuracy
Experience dealing with structured, unstructured data.
Preferred to have Python, Spark experience.
Nice to have designed and develop automation solutions utilizing Python
EDW experience preferred - Azure Databricks, RedShift, Azure Synapse, etc
Good communication skills, both verbal and written
Ability to proactively QA your own work to ensure quality standards and requirements are met