• Citizen

• Full Time

• Direct Hire

• 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.

Requirements

• 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