Data Analyst - Analyst

💰 ₹18,000 - ₹28,800 (Est.) 📍 New Delhi ⏰ Part Time 🕐 4 days ago

Job Description

Rve technologies


NX CAM Trainer (Online)
Rve technologies • Bengaluru, Karnataka • via LinkedIn
16 hours ago
Part-time
No Degree Mentioned
Apply on LinkedIn
Job description
Job Opportunity : NX CAM Trainer (Online)

>Location: Remote

>Duration: 8-10 Hours (Online Training)

>Remuneration: Competitive

We are seeking an experienced NX CAM Trainer to deliver an 8-10 hour online training session for a client. The trainee has 4-5 years of experience in SolidWorks and SolidCAM, focusing on advanced NX CAM training. The client also needs assistance with post-processing co...
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Federal Express Corporation AMEA


Data Analyst - Analyst
Federal Express Corporation AMEA • Gurugram, Haryana • via FedEx Careers
23 hours ago
Full–time
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Job description
Grade : 11

Design and implement processes and solutions associated with a wide variety of data sets used for data/text mining, analysis to support informed business decisions. Gain insight into key business and deliverables by examining structured and unstructured data from multiple disparate sources. Effectively use current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via the information available for analysis. Learn to use data, statistical and quantitative analysis, to drive decision making.

Grade : 11

Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date

What your main responsibilities are:

Acts as a technical expert on complex and specialist subject(s). Supports management with the analysis, interpretation and application of complex information, contributing to the achievement of divisional and corporate goals. Supports or leads projects by applying area of expertise.

Collaborate with regional teams to ensure the timely and accurate implementation of discount structures and the seamless transition to FedEx Pricing systems.

Gain extensive knowledge of FedEx pricing processes, relevant tools, and systems.

Assist in developing data-driven strategies and recommendations for business decisions.

Contribute to the continuous improvement of data quality and analytics processes.

Transform, optimize Pricing processes for improved efficiency, reduced turnaround times and human intervention through process automation.

The person should be able to effectively coordinate with cross-functional teams and various regional pricing teams across the geographies to meet critical timelines for bid pricing, associated tasks & initiatives, while ensuring process compliance & meeting audit requirements

Conduct in-depth analysis of customer needs, RFP requirements, and competitive landscape to optimize profitability and win rates.

Identify relevant KPIs / metrics for business performance and develop dashboard/ reports

Develop and oversee robust internal controls and compliance frameworks to mitigate revenue leakage risks.

Take ownership and accountability for end-to-end deal execution; coordinate/ partner with cross-functional teams globally and ensure timely delivery of high-quality outputs

Collaborate effectively (Stakeholder Management) with team members across different regions to achieve common goals, effective communication skills to communicate with people across all levels including senior management.

Analytical Skills, Accuracy & Attention to Detail, Planning & Organizing Skills, Influencing & Persuasion Skills, Presentation Skills

Key skills needed for this role:

Technical:
a.
Python
b.
SQL
c.
Visualization (PowerBI, Spotfire, tableau, Qlicksense, etc.)

Functional:
a.
Understanding business context
b.
Data Analysis
c.
Insights generation

Behavioral:
a.
Business communication and articulation
b.
Quick learner
c.
Sense of ownership

Strong Financial Acumen and analytical skills to deliver accurate results & actionable recommendation.

Good understanding of pricing models/systems, revenue & cost structures, contribution & operating margins, and P&L views

Being a team player, supportive to other team members and collaborative across functions
Qualification:

Bachelor’s degree in Data Science/Business analytics /Quant discipline such as Mathematics, Economics or a related field. Master’s degree is a plus

Minimum 2-4 years of experience as a Data Analyst or similar role

Must have - Demonstrated expertise in Python, SQL, and Advanced Excel

Good to have:

Knowledge of Azure Databricks

Proficiency in Power BI and/or Tableau is a plus

Experience in developing creative and impactful PowerPoint presentations using Canva/PowerPoint

FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone.

All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances.
Our Company

FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding.
Our Philosophy

The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company.
Our Culture

Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1+70’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace.

💡 Quick Summary

Seeking a career-building opportunity? The Data Analyst - Analyst position is now open for candidates interested in the Work from home Jobs sector. This role in New Delhi offers a professional environment and growth potential.

Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.

Sponsored

Job Details

Company Name: Federal Express Corporation

Frequently Asked Questions

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The expected salary for Data Analyst - Analyst in New Delhi is ₹18,000 - ₹28,800 (Est.) per month. Actual compensation may vary based on experience and negotiation.
No, Data Analyst - Analyst is an on-site position based in New Delhi. Candidates must be able to commute or relocate to this location.
Basic communication skills, a proactive attitude, and the ability to work in a team are required for Data Analyst - Analyst. Previous experience in Work from home Jobs is a plus. Freshers may also apply depending on the employer's requirements.
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