Job Title:  T&T- Customer-Marketing & Commerce-Manager | ML/AI/Data Science | Delhi |

Your potential, unleashed.

India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond.

At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.

What impact will you make?

Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you’ll find unrivaled opportunities to succeed and realize your full potential

Deloitte is where you’ll find unrivaled opportunities to succeed and realize your full potential.

The Team
 

Deloitte Digital has created a new model for a new age: the creative digital consultancy. We're transforming the digital journey in a way an agency or traditional consultancy alone cannot–now leaders across their entire organization can come to one place to have their ambitions brought to life. We combined the creative and digital capabilities of our studios and the broad reach of an advertising agency with the technical experience, deep business strategy, and relationships of one of the world's largest consultancy to create something that is so much more than the sum of its parts. We can help you imagine bigger and scale as your business grows. Learn more about Digital  

Location and way of working-NCR\Bengaluru\Pune\Hyderabad

Work you’ll do

Role: Manager

Location: Delhi

Education: Graduate

Exp: 8+ Years

• 8+ years of experience in managing large-scale data environments, including data pipelines, integrations, and governance frameworks

• Strong command over SQL, R, Python, and data wrangling tools for transforming, merging, and validating high-volume datasets

• Experience designing and managing data architectures including relational databases, data lakes, and warehouse systems like Snowflake or BigQuery

• Led initiatives for data quality, cleansing, metadata tagging, and audit readiness in regulated environments

• Collaborated closely with analytics, business, and IT teams to translate business needs into technical data models

A data management and manipulation specialist focuses on organizing, storing, securing, and analyzing data to ensure its accuracy, accessibility, and usability for various purposes. They are responsible for creating and maintaining databases, implementing data management policies, and troubleshooting data-related issues. Their work often involves data cleaning, transformation, and integration from various sources. 

Key Responsibilities:

·      Data Storage and Organization: Designing, implementing, and maintaining databases and data warehouses to store and organize data effectively. 

·      Data Integrity and Quality: Ensuring data accuracy, consistency, and reliability through validation, cleansing, and error handling. 

·      Data Security and Access Control: Implementing security measures to protect sensitive data and managing access permissions for authorized users. 

·      Data Manipulation and Transformation: Using programming languages like Python, R, or SQL to transform and manipulate data for analysis and reporting. 

·      Data Analysis and Reporting: Assisting in data analysis, creating reports, and providing insights to support business decision-making. 

·      Metadata Management: Managing metadata (data about data) to improve data discoverability and usability. 

·      Data Lifecycle Management: Overseeing the entire lifecycle of data, from creation to archival or deletion. 

Skills Required:

• Data Management: Strong understanding of data management principles, including data modeling, data warehousing, and data governance. 
• Data Manipulation: Proficiency in programming languages like Python, R, or SQL for data manipulation and analysis. 
• Database Management: Experience with database technologies (e.g., SQL Server, Oracle, MySQL). 
• Analytical Skills: Ability to analyze data, identify trends, and derive meaningful insights. 
• Problem-Solving: Ability to troubleshoot data-related issues and implement effective solutions. 
• Communication Skills: Effectively communicate data findings to technical and non-technical audiences.