Customer Marketing & Commerce-manager | Ml/ai/data Science @ Deloitte Consulting

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Customer Marketing & Commerce-manager | Ml/ai/data Science

Deloitte Consulting
8 - 13 years
Delhi, NCR
3 months ago
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Job Description

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.

Job Classification

Industry: Accounting / Auditing
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Data Science
Employement Type: Full time

Contact Details:

Company: Deloitte Consulting
Location(s): Delhi, NCR

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Keyskills: advertising agency Data modeling data security data manipulation Data quality Business strategy Oracle Analytics Auditing SQL

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Deloitte Consulting

Indias impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, e...

Customer Marketing & Commerce-manager | Ml/ai/data Science @ Deloitte Consulting

Home > Data Science & Machine Learning