Head - Data Science & Analytics

22 hours ago

Kolkata, West Bengal, India Exide Industries Limited Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Location: Kolkata/Mumbai/Bangalore

Deliverables:

Develop principles and approaches for data collection, analysis and visualization, select recommended software packages and

recommendations on application of mathematical models depending on task types

Control compliance of data analysts with methodologies in project teams, control of uniformity and consistency of implemented solutions

Participation in hiring of analytics specialists: prepare functional tests, conduct interviews and approve development candidates

Onboarding and initial analyst training

Participation in projects and expert support of teams in the course of product implementation

Supervising analytics, model building and interaction with business unit and production managers

Play a critical role in database design and development, data integration and ingestion,as well as designing ETL architectures using a variety of

ETL tools and techniques

Implement the best possible solutions for stakeholders in close collaboration with inhouse & out-sourced Data Science team

Lead workstreams in acquiring, ingesting, and processing data from multiple sources and systems into our Data lake, data warehouse & other

big data platforms.

Requirements:

5+ years of working experience in data analysis and modeling. Deep technical understanding of Python or R, relational systems (SQL) and

distributed systems (Map/Reduce, Hive, Spark, etc.)

Understanding of key areas and methods of analytics, business and data storage systems, software development methods

Successful track record of leading complex projects, proven ability to develop and manage talent

Knowledge of Data Science and engineering - raw data, model building, hypothesis formulation and validation, results visualization

Knowledge of mathematical statistics, predictive analytics, big data analytics

Experience in at least one BI tool (e.g. Tableau, Power BI, SAP BO, etc. )

End-to-End Data Warehousing experience on SAP BW Hana or Azure Synapse or AWS Redshift, building operational ETL data pipelines across a

number of sources, and constructing relational and dimensional datamodels

Experience in at least one ETL tool (e.g. Azure Data Factory, AWS Glue, Informatica, Talend, Pentaho, DataStage)

Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate datasets

Strong development background with experience in at least two scripting, object oriented or functional programming languages such as

SQL, Python, Java, Scala, C#, R

Excellent interpersonal skills when interacting in a clear, timely, and professional manner

Proven ability in clearly communicating complex solutions

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