Position:
- Role: Supply Chain Data Analyst
- Function: Data Analysis, Supply Chain Management
Company:
- Name: mCaffeine
- Industry: Personal Care Product Manufacturing
- Size: 501-1,000 employees
- Focus: Caffeinated Personal Care Products
Location:
- City: Mumbai
- State: Maharashtra
- Country: India
Job type:
- Employment Type: Full-time
- Level: Entry Level
Job mode:
- Work Arrangement: On-site
Job requisition id:
- ID: Not specified
Years of experience:
- Required Experience: Not explicitly mentioned, but it’s for an entry-level position
Company Description
Brand Overview:
- India’s Pioneering Caffeinated Brand: mCaffeine is celebrated as the country’s premier brand focusing on caffeinated personal care items.
- Target Audience: Primarily aimed at the young, ambitious millennial demographic.
- Philosophy: Emphasizes confidence over traditional beauty standards and actively challenges color and body biases.
Core Beliefs:
- Revolutionizing Beauty: The brand opposes antiquated beauty ideals linked to skin tone, rejecting the notion of selling insecurity through fairness products.
- Inclusivity and Empowerment: mCaffeine’s ethos revolves around a beauty concept free from color and gender distinctions, promoting an inclusive, empowering message.
Identity and Culture:
- Lifestyle Embrace: The brand aims to integrate beauty as a culture and routine, fostering a bold, youthful, and confident lifestyle.
- Community: Encourages individuals to join a forward-thinking community that embraces change and confidence.
Innovative Approach:
- Product Range: Offers a diverse selection of caffeinated personal care products, promoting the idea that beauty transcends conventional barriers.
- Commitment to Non-Bias: Firm stance against creating products that propagate fairness, advocating for a broader definition of beauty.
Social Impact:
- Message: Aimed at redefining societal norms, mCaffeine’s mission is to empower users through products that align with a progressive, inclusive outlook.
Profile Overview
Role Summary:
- Title: Supply Chain Data Analyst
- Function: The primary responsibility is to gather, analyze, and interpret supply chain data to enhance operational efficiency and performance.
Key Responsibilities:
- Data Collection and Organization: Efficiently collect and organize data from various sources such as databases, spreadsheets, and external channels, ensuring accuracy and comprehensiveness.
- Performance Metrics: Develop and monitor key performance indicators (KPIs) related to inventory levels, fill rates, lead times, and supply chain costs.
- Reporting and Visualization: Generate clear, detailed reports and visualizations to communicate data insights and recommendations effectively.
Collaboration:
- Cross-functional Interaction: Work closely with teams across different functions including supply chain management, operations, logistics, and procurement.
- Decision Support: Provide data-driven insights to support and enhance decision-making processes within the organization.
Skills and Tools:
- Analytical Proficiency: Skilled in data analysis and visualization tools such as Tableau, Power BI, Excel, Python, and SQL.
- Supply Chain Knowledge: An understanding of supply chain and logistics processes is beneficial.
Professional Growth:
- Opportunity: The role offers a chance to work in a dynamic environment, contributing to significant improvements in supply chain performance.
- Career Development: Provides a platform for developing expertise in data analysis within the context of supply chain management.
Qualifications
Educational Requirements:
- Degree: Bachelor's degree in Data Science, Computer Science, or a related discipline from a recognized institution.
- Institutional Preference: Preference for candidates from premier educational institutions.
Technical Skills:
- Data Manipulation: Proficiency in tools for data manipulation and visualization, including but not limited to Tableau, Power BI, Excel, Python, and SQL.
- Analytical Tools: Competence in using analytical tools to interpret and present data effectively.
Knowledge Base:
- Supply Chain Understanding: A foundational knowledge of supply chain and logistics processes is advantageous but not mandatory.
- Attention to Detail: A keen eye for detail to ensure data accuracy and integrity.
Soft Skills:
- Independence and Multitasking: Ability to work independently while managing multiple priorities in a fast-paced environment.
- Communication: Strong communication skills for effectively presenting data insights to stakeholders at various levels.
Experience Level:
- Entry-level Position: Designed for individuals at the beginning of their professional career, with the potential for growth and development within the company.
Any Additional Info
Application Process:
- Interest: Candidates interested in joining mCaffeine are encouraged to apply promptly given the role’s high visibility and significant number of applicants.
- Application Method: Applicants can send their resumes and cover letters to the provided email address or apply through the company’s career portal.
Company Culture:
- Dynamic Environment: The company offers a vibrant, dynamic work environment that supports innovation and professional growth.
- Community Involvement: Employees are encouraged to be a part of a community that values diversity, inclusivity, and continuous improvement.
Growth Opportunities:
- Professional Development: Opportunities for training and development in data analysis, supply chain management, and related fields.
- Career Advancement: Potential for career advancement within the company as the individual gains experience and demonstrates capability.
Social Media and Contact:
- Company Website: Interested individuals can learn more about the company and its products by visiting the mCaffeine website.
- LinkedIn: The company’s LinkedIn page provides updates and insights into the organization’s activities and culture.
- Instagram: Follow mCaffeine on Instagram for the latest news, product launches, and company culture highlights.
Contact Information:
- Email: Candidates can reach out with inquiries or applications via the company’s designated career email address.
Please click here to apply.
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