Business Analyst – Data Engineering
Company Name:-
Genpact
Job Location:-
Gurgaon, Haryana
Job Summary:-
Business Analyst – Data Engineering-BFS014854
With a startup spirit and 90,000+ curious and courageous minds, we have the expertise to go deep with the worlds biggest brandsand we have fun doing it.
Now, were calling all you rule-breakers and risk-takers who see the world differently, and are bold enough to reinvent it.
Come, transform with us.
Are you the one we are looking for?
We are inviting applications for the role of Business Analyst, Data Engineering/Data Analyst – Python Developer
This Role includes writing and testing code, debugging programs and integrating applications with third-party web services.
To be successful in this role, you should have experience using server-side logic and work well in a team.
Responsibilities
To support in the marketing campaign execution journey for a leading firm to migrate and execute campaigns from leading marketing automation platform to custom build Notebook in Python
Strong technical and marketing domain acumen to understand marketing strategies and convert it into Python codes
Build complex multi-channel marketing campaigns based on business requirement
Construct, test and maintain data architectures and pipelines to meet business requirements.
Develop processes for data preparations, modelling and mining & discover opportunities for data acquisitions.
Marry systems together to build reliable datasets for analysis.
Uncover exploratory insights from data using a variety of tools (Python, R, SQL, BI tools)
Use statistical modelling and learning to develop models as per business requirements.
Set up and maintain a data warehouse / data lake solution
Must be proficient with tools such as Anaconda, Rstudio, Apache HTTP server, etc.
Experience in building data pipelines using different data sources
Knowledge of relational databases (preferably MS SQL Server 2008 and above, Teradata), with experience writing SQL queries and stored procedures.
Should know and understand both Supervised & Unsupervised Machine Learning algorithms and have applied them in industry scenario on at least 1 implementations
Should have good amount of data analysis experience, should know about various exploratory techniques
Very good communication skills; must be able to discuss the requireme
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