Evaluate current reporting environments to finalize the data elements required for meeting functional requirements.
Drive data strategy from design through implementation while acting as a trusted advisor to Supply Chain Teams.
Lead a technical data delivery for a project.
Drive project management responsibilities leveraging prior hands on data development experience.
Design and document technical solutions to complex requirements using various tools including HADOOP, Informatica, R, Python and Tableau etc.
Ability to resolve issues in Production and work with end users to answer any queries they have on the day to day reporting needs
Develop best practices for instrumentation and experimentation and communicate those to wider analytics team
Applies a global approach to analytical solutions-both within a business area and across the enterprise
Design and implement effective database solutions and models to store and retrieve company data.
Examine and identify database structural necessities by evaluating client operations, applications and programming.
Install and organize information systems to guarantee company functionality.
Prepare accurate design and architecture reports for management and executive teams.
Oversee the migration of data from legacy systems to new solutions.
Monitor the system performance by performing regular tests, troubleshooting and integrating new features.
Educate staff members through training and individual support.
Offer support by responding to system problems in a timely manner.
Ability to use data for Exploratory, descriptive, Inferential, Prescriptive, and Advanced Analytics
Technical Knowledge and Skills required
Previous experience providing consulting delivery leadership in discovering and shaping opportunities, solution development, proposal generation, and deal closing stages.
Understands data analytics, complex event processing, data warehouses, big data technologies, data engineering, data science and data visualization.
Experience developing end to end architectures for complex solutions in the area of data processing and analytics.
Strong background and experience with Data acquisition and processing concepts, architectures and tools:
Data Acquisition / Data Ingestion / Data Movement / Data Assets Management
Data Storage and Processing
Real time analytical processing
Knowledge of data science algorithms and analytics tools for:
Analytics and Machine Learning
Expert knowledge of an analysis tool such as R, Python, Matlab, or SAS
Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.)
Familiarity with relational databases and SQL
Soft Skills Required
Good communication and presentation skills
Highly driven, energetic, flexible, resourceful & ability to multitask
Clarity of thoughts and vision
Ability to ideate and bring solutions to the table
Adherence to timelines, without sacrificing quality of output
Minimum 5-9 years of increasingly responsible experience in high impactful and changing environments
Should have worked in a dynamic and fast changing environment
Masters degree/Btech from a good institute in a quantitative discipline
Strong exposure to Databases and data structures of cloud based technologies
AWS/Azure architect certification preferred