Senior Data Analyst

4 weeks ago

pune, India Exusia Full time

Department:                            Sales and Delivery Team - Empower

Industry:                                   Information Technology & Services, Computer Software, Management Consulting

Location:                                  Pune/Hyderabad/ Remote (Anywhere in India)

Experience Range :                 3 - 12 years

Basic Qualification:                Master/Bachelor of Engineering or Equivalent

Travel Requirements:            Not required

Website :                                  

 

What’s the Role?

Full-time job to work with Exusia's global (Americas, Europe, Africa, Asia) clients to deliver on bleeding-edge data-driven solutions by performing business and data analysis, data modelling, data mapping and translating functional requirements into technical specifications. Work with Client Product Owners & Business SMEs, Exusia Solution Architects and Senior Application Designers/Developers.


Criteria for the Role

·        Have a minimum of 3 years of experience working as a Data Analyst and Data Modeler

·        Master of Science (preferably in Computer and Information Sciences or Business Information Technology) or an Engineering degree in the above areas. 

·        Experience working in an agile software delivery model is required.

·        Prior data modelling experience is mandatory preferably for DWH/Data marts

·        Self-motivated and proactive in a fast-paced environment.

·        Excellent communication, creative problem solver, flexible, proactive, attitude to learn newer tools/technologies


Responsibilities

·      Own and Lead Data Analysis and data modelling activities

·      Discuss & document data and analytics requirements with cross functional teams and business stakeholders.

·      Analyse requirements and come up with technical specifications, source-to-target mapping, data and data models

·      Data profiling and cleaning data for data analysis. Interpret data, analyse results, prepare data analysis reports.

·      Perform Data validation and testing to certify data

·      Collect, analyse and disseminate significant amounts of information to project team & business stakeholders.

·      Manage changing priorities during the software development lifecycle (SDLC)


Mandatory Skills

·        Able to create Logical and Conceptual data models for business and functional users

·        Understanding of ER and Dimensional modelling techniques like Star, Snowflake or Constellation

·        Hands on experience in implementing Star Schema and Relational (Normalized including 3NF) models is mandatory

·        Should have implemented physical data models for a variety of RDBMS and cloud hosted databases

·        Strong understanding of different types of facts and dimensions

·        Hands on experience with data modelling tools like Erwin, ER Studio, InfoSphere Data Architect (IDA)

·        Strong SQL or python skills for carrying out data analysis and data profiling

·        Transforming business/functional requirements into technical specifications.

·        Capturing data mapping / data transformation and business rules logic using source to target mapping templates

·        Hands-on exposure to SQL and NoSQL databases and able to write pseudo-code for ETL requirements.

·        Data validation and testing using SQL or any tool-based testing methods

 

Nice to have skills

·        Exposure to scrum master or product owner role will be desirable

·        Knowledge of data processing / ETL using Ab Initio / SAS / SSIS / Python / Scala / Apache Spark / Databricks

·        Exposure to one or more Cloud platforms – Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform

·        Experience with BI/Reporting such as Cognos / SSRS and Data Visualizations Tools like Power BI, Tableau, Qlik

·        Exposure to Data Governance projects including Metadata Management, Data Dictionary, Data Glossary, Data Lineage and Data Quality aspects.

·        Experience and knowledge of one or more domains – Banking & Financial services, Healthcare, Supply Chain/Inventory Management, Logistics Telecom

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