Business development executive

Job Title: Inventory & Product Analytics Specialist

Location: Indore (M.P.)

Job Type: Full-Time

Job Summary

We are seeking a highly analytical and detail-oriented Inventory & Product Analytics Specialist to join our team. The successful candidate will be responsible for analyzing inventory data, monitoring product performance, and providing actionable insights to optimize inventory levels, improve product availability, and drive overall business performance. This role requires strong analytical skills, an understanding of inventory management, and the ability to work collaboratively across departments.

Key Responsibilities

• Inventory Management & Analysis:

• Monitor and analyze inventory levels to ensure optimal stock levels across various product categories.
• Identify slow-moving, overstocked, and out-of-stock items, and provide actionable recommendations to manage inventory flow.
• Develop and maintain inventory forecasting models using historical data, trends, and market demands.
• Conduct regular audits to ensure data accuracy in the inventory management system.
• Provide reports on key inventory metrics such as stock turnover, days of inventory, and reorder points.

• Product Analytics:

• Analyze product performance, including sales trends, profit margins, and product lifecycles, to drive decision-making.
• Track and report on key performance indicators (KPIs) related to product sales, including top-performing and underperforming items.
• Collaborate with product development, marketing, and procurement teams to evaluate product trends and suggest strategies to enhance product offerings.
• Assist in setting pricing strategies based on data analysis of product performance and market conditions.

• Data Reporting & Visualization:

• Create and maintain dashboards and reports to track inventory levels, product performance, and overall supply chain health.
• Present insights and recommendations to key stakeholders, including management, operations, and marketing teams.
• Provide ad-hoc data analysis as required by various departments.

• Process Improvement:

• Identify inefficiencies in inventory management processes and work with cross-functional teams to implement improvements.
• Suggest automation and technology solutions for inventory tracking and reporting.
• Stay updated on industry trends, inventory management tools, and analytics best practices.

Qualifications

• Education:

• Bachelor’s degree in Business, Supply Chain Management, Data Analytics, or a related field.
• Master’s degree is a plus.

• Experience:

  2-5 years of experience in inventory management, product analytics, data analysis, or a similar role.

• Experience in retail, e-commerce, or manufacturing industries preferred.

• Technical Skills:

• Proficiency in Excel, SQL, and other data analysis tools (e.g., Python, R) is a plus.
• Experience with inventory management systems (e.g., SAP, Oracle, NetSuite) and product analytics platforms.
• Knowledge of data visualization tools (e.g., Power BI, Tableau, Looker).

• Key Competencies:
• Strong analytical and problem-solving skills.
• Excellent attention to detail and ability to work with large datasets.
• Effective communication skills, with the ability to present complex data in a clear and concise manner.
• Ability to work cross-functionally and collaboratively with various teams.

Benefits:

• Competitive salary and benefits package.
• Opportunities for professional growth and development.

✔️ Close sales via cold calls, meetings & door-to-door visits

✔️ Build and maintain strong customer relationships

✔️ Identify prospects and craft smart sales strategies

✔️ Track and report key performance metrics

✔️ Maintain and grow our client database

🔹 What We’re Looking For:

✔️ Graduate with 0.5–3 years of sales experience

✔️ Good communication, negotiation & interpersonal skills

✔️ Familiar with sales techniques and CRM tools

✔️ Bonus if you have accounting knowledge

✔️ Tech-savvy and self-driven

Key Responsibilities:

-Social Media Strategy Development: Collaborate with the marketing team to craft and implement social media strategies that align with company goals, driving engagement, brand awareness, and lead generation.

-Content Creation & Curation: Research, create, and schedule engaging social media content including posts, banners, and short-form videos to effectively communicate the brand’s message and promote campaigns.

-Community Management: Monitor and engage with social media communities, responding to comments, messages, and inquiries to foster positive relationships with followers and build brand loyalty.

-Campaign Management: Design, execute, and optimize paid social media campaigns on platforms like Meta, LinkedIn, and Twitter to generate leads, boost brand visibility, and achieve targeted KPIs.

-Performance Tracking & Reporting: Use analytics tools to track, analyze, and report on the performance of social media campaigns and posts, making recommendations for improvement and growth.

What We’re Looking For:

Creative Thinkers: Passionate about exploring new trends and content formats.

Self-Starter: Independent, results-driven, and able to manage projects with minimal supervision.

Qualifications:

Education: Bachelor’s degree in Marketing, Communications, or related field.

Experience: 1+ year(s) in social media marketing or content creation.

Skills: Strong English communication skills and creative content abilities.

Role & responsibilities

1. Develop and maintain native iOS applications using Swift and Objective-C.

2. Familiarity with RESTful APIs to connect iOS applications to back-end services

3. Work with APIs, third-party libraries and Familiarity with MVC, MVVM.

4. Proficient in code versioning tools including Github and Gitlab.

5. Familiarity with push notifications, APIs, and cloud messaging.

6. Identifying potential problems and resolving application bugs.

7. Fixing application bugs before the final release.

8. Publishing application on App Store.

9. Maintain code quality and Ensure the performance, quality, and responsiveness of applications.

10. Collaborate with cross-functional teams for seamless integration.

11. Stay up to date with the latest industry trends and technologies.

Preferred candidate profile

• Minimum 3+ Year of IOS Developer Experience or Created an App Before.
• Strong knowledge of iOS frameworks [UIKit, SwiftUI, Core Data]
• Experience with UI/UX Designing, RESTful APIs and third-party libraries.
• Problem solver with good analytical skills.
• Knowledge of Firebase Integration is an added advantage.
• Previous experience in fintech industry considered as plus point.

Perks and benefits

• Competitive Salary and Professional development opportunities and training.
• Opportunity to work with cutting-edge technologies in a fast-paced environment.
• Collaborative and supportive work environment.

Apply: https://forms.gle/5aZjp5New3cxGZXN9

Description: 

As a Data Engineering Lead at Company, you will be at the forefront of shaping and managing our data infrastructure with a primary focus on Google Cloud Platform (GCP). You will lead a team of data engineers to design, develop, and maintain our data pipelines, ensuring data quality, scalability, and availability for critical business insights. 

Key Responsibilities: 

1. Team Leadership: 

a. Lead and mentor a team of data engineers, providing guidance, coaching, and performance management. 

b. Foster a culture of innovation, collaboration, and continuous learning within the team. 

2. Data Pipeline Development (Google Cloud Focus): 

a. Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP) using services such as BigQuery, Dataflow, and Dataprep.

b. Implement best practices for data extraction, transformation, and loading (ETL) processes on GCP. 

3. Data Architecture and Optimization: 

a. Define and enforce data architecture standards, ensuring data is structured and organized efficiently. 

b. Optimize data storage, processing, and retrieval for maximum 

performance and cost-effectiveness on GCP. 

4. Data Governance and Quality: 

a. Establish data governance frameworks and policies to maintain data quality, consistency, and compliance with regulatory requirements. b. Implement data monitoring and alerting systems to proactively address data quality issues. 

5. Cross-functional Collaboration: 

a. Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that drive business insights. 

b. Participate in discussions regarding data strategy and provide technical expertise. 

6. Documentation and Best Practices: 

a. Create and maintain documentation for data engineering processes, standards, and best practices. 

b. Stay up-to-date with industry trends and emerging technologies, making recommendations for improvements as needed. 

Qualifications 

● Bachelor's or Master's degree in Computer Science, Data Engineering, or related field. 

● 5+ years of experience in data engineering, with a strong emphasis on Google Cloud Platform. 

● Proficiency in Google Cloud services, including BigQuery, Dataflow, Dataprep, and Cloud Storage. 

● Experience with data modeling, ETL processes, and data integration. ● Strong programming skills in languages like Python or Java. 

● Excellent problem-solving and communication skills. 

● Leadership experience and the ability to manage and mentor a team.

• Participate heavily in the brainstorming of UI/UX architecture and feature design
• Interface with external customers and key stakeholders to understand and document design requirements
• Work cross-functionally with Engineering, Data Science, Product, UX, BD, and Infrastructure teams
• Drive best coding practices across the company (i.e. documentation, code reviews, coding standards, etc)
• Perform security, legal, and license reviews of committed code
• Complete projects with little or no supervision from senior leadership

• Must have at least 2+ years experience in front-end web development with the following tools: HTML5, CSS, Webpack, Responsive web design, ReactJS (Components, Router, Redux, Flux, Chart Libraries i.e. Google Charts), Node.js, REST APIs, and other essential features)
• Built and deployed customer-facing services and products at scale
• Developed unit and integration tests
• Solid instruction-level understanding of Object Oriented design, data structures, and software engineering principles

• You have a strong background in natural language processing, statistical modeling, and/or machine learning
• Experience with open source projects in a startup environment
• Experience with large-scale distributed systems that have thousands of microservices and manages millions of transactions per day
• Worked on products where experimentation and data science are core to the development
• Experience with Python and API frameworks (Flask)
• BS, MS or equivalent

Who Are We

A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.

ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.

WHY US

• Join top AI company
• Grow with your best companions
• Continuous pursuit of excellence, equality, respect
• Competitive compensation and benefits

You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.

To learn more about how we work, please check out

https://www.orbo.ai/.

Description:

We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.

Responsibilities:

• Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
• Lead a team of ML engineers in developing an industrial AI product from scratch
• Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
• Tune the models to achieve high accuracy rates and minimum latency
• Deploying developed computer vision models on edge devices after optimization to meet customer requirements

Requirements:

• Bachelor’s degree
• Understanding about depth and breadth of computer vision and deep learning algorithms.
• Experience in taking an AI product from scratch to commercial deployment.
• Experience in Image enhancement, object detection, image segmentation, image classification algorithms
• Experience in deployment with OpenVINO, ONNXruntime and TensorRT
• Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
• Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
• Proficient understanding of code versioning tools, such as Git

Our perfect candidate is someone that:

• is proactive and an independent problem solver
• is a constant learner. We are a fast growing start-up. We want you to grow with us!
• is a team player and good communicator

What We Offer:

• You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
• You will be in charge of what you build and be an integral part of the product development process
• Technical and financial growth!

• Responsible for client engagement & Manage the requirements
• Communicate with clients to identify their requirements and choice of property
• Coordinate the builder to arrange for the site visit and share the necessary information to clients
• Visit the connected properties and identify the USPs to pitch better to clients
• Manage the feedback from the client
• Understand the real estate market & comparison of the product
• Maintain good business relationship with client and builder
• Participate in seminars, conferences, and events to enhance the market & expand the business network
• Work with the team to share the responsibilities and work towards achieving team’s targets

1. Strong fundamentals OOPS concepts, Exception Handling, Coding Standards, Logging

2. Creating custom, general use modules and components which extend the elements and modules of core Angular. 

3. Creating configuration, build, and test scripts for Continuous Integration environments

4. Communicating with external web services and processing data

5. Experience with offline storage threading and performance tuning

6. Review code and maintain the code quality and suggest best practices

7. Knowledge and experience on data science and programming languages

8. Demonstrable abilities to optimize code. Strong analytical skills for effective problem solving