Senior Consultant, Data Scientist, Financial Accounting Advisory Services, Rapid Innovations
EY
Karachi, PK
3d ago

Your key responsibilities

As a Senior Consultant, you will work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution.

This includes reviewing and understanding complex data sets to establish data quality and highlighting where data cleansing is required to remediate the data while translating business requirements into data models to manage data within the organization, using sound technical expertise.

Moreover, you will also be involved in designing and implementing end-to-end reporting solutions, KPIs, from data integration to visualization and ready to use product that provides business with valuable insights.

You will also be migrating data from one system to another using multiple sources, identifying, and implementing storage requirements and will resolve escalated design and implementation issues with limited complexity.

Furthermore, you will also monitor and report on the uses of emerging technologies, and seeking areas for continuous improvement to ensure all activities adhere to the relevant data visualization and data modelling processes, procedures and standards.

Skills and attributes for success

Pro- activity, accountability and results- driven people will flourish in this environment. Dealing with competing priorities, understanding how to manage resources and communicating effectively are key skills.

This will have a huge impact on those around you and help promote a positive work ethic.

Skills and attributes for success

Ability to design, visualize and implement informative reporting that translates data into business value, strong analytical skills.

Data Integration such as Sourcing, Storage and Migration and capability to design and implement models and solutions to manage data within the enterprise (structured and unstructured, data archiving principles, data warehousing, data sourcing, etc.

This includes data models, storage requirements and migration of data from one system to another. Data Quality, Profiling and Cleansing, capability to review (profile) a data set to establish its quality against a defined set of parameters and to highlight data where corrective action (cleansing) is required to remediate the data.

Preferred candidate will have good understanding of the following tools and technologies and will be able to prove how

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