JOB PROFILE:

Purpose of the Position

As a hands-on

Data Management Analyst within the

Data Engineering and Science (DES)

team, you will drive cloud data strategy, semantic modeling, pipeline automation, and global business intelligence. You will serve as a key technical contributor across core analytics initiatives—translating complex raw data into unified cloud-native semantic layers, automating data transformations for Operations Research (OR) models, and taking full ownership of mission-critical global executive dashboards.

Core Responsibilities

1. Cloud Ontology &
- Semantic Layer Development

- Design, build, and govern scalable

Ontology and Semantic layers natively within modern cloud data platforms (

Databricks, GCP, and/or Azure

).

- Define unified business logic, domain entities, relationships, and standardized metrics across cloud lakehouse architectures to establish a single source of truth for downstream analytics and AI/BI consumption.

- Partner with data architects and engineers to ensure semantic models are optimized for performance, discoverability, and self-service analytics in a 100% cloud-native environment.

1. Data Sourcing, Python Transformation &
- Pipeline Automation

- Source, extract, and assist in data ingestion from diverse operational, transactional, and enterprise source systems.

- Good experience with clean, modular, and efficient

Python code to clean, transform, and shape complex datasets tailored specifically for Operations Research (OR) and advanced analytics consumption.

- Collaborate closely with engineers to design, and help in execution of end-to-end automation strategies for cloud data pipelines and data preparation workflows.

1. Global BI Ownership &
- Executive Analytics Support

- Assist in end-to-end ownership of global Business Intelligence dashboards and enterprise reporting products, ensuring high availability, data accuracy, and actionable insights.





- Provide hands-on BI and analytical support for flagship operational and executive visibility platforms.

- Partner with global stakeholders and visualization teams to standardize KPIs, enhance user experience, and deliver high-impact analytical solutions that drive strategic decision-making.

1. Hands-on Cloud Analytics &
- AI / Operations Research (OR) Initiatives

- Serve as an active, hands-on technical data analyst in

Artificial Intelligence (AI), Machine Learning, and Operations Research (OR) projects

.

- Leverage Cloud platform and query expertise (Advanced SQL, Python, Spark/Databricks, Cloud Lakehouses) to perform root-cause diagnostic analysis, validate model inputs/outputs, and resolve complex data challenges.

Requirements &

Qualifications :

- Education:

Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Engineering, Analytics, or a related quantitative field.

- Experience:

- Data Management Analyst:

5-8 years of hands-on experience in data analytics, data engineering, or cloud data management.

- Senior Data Management Analyst:

5–8+ years of progressive hands-on experience leading cloud data modeling, pipeline automation, and enterprise BI initiatives.

- Technical Skills (Must-Have):

- Strong hands-on proficiency in

Python

(Pandas, PySpark, data transformation scripting) and advanced

SQL

.

- Proven experience working natively in modern cloud ecosystems (

Databricks, GCP, and/or Microsoft Azure

).

- Valuable to have expertise in building

Cloud Ontology / Semantic layers

, unified metric layers, and cloud lakehouse data models.

- Good practical proficiency in enterprise BI and visualization platforms (e.g., Power BI, Tableau, or equivalent modern BI tools) with experience owning production-grade global dashboards.

- Key Assets (Good-to-Have):

- Direct, hands-on participation in

Operations Research (OR)

, optimization modeling, or

AI/ML project lifecycles.

- Experience with RESTful API integrations, workflow orchestration, and pipeline automation tools.

- Relevant Cloud (Databricks, Azure, GCP) or Agile/SAFe certifications.

📌 DATA MANAGEMENT ANALYST / SENIOR DATA MANAGEMENT ANALYST (Bengaluru)
🏢 FedEx
📍 Bengaluru