Technical Development Manager

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.

What are we looking for?

• Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)
• 7+ years of work experience in data science, analytics, engineering, or product management for a diverse range of projects
• Hands on experience with python, deploying ML models
• Hands on experience with time-wise tracking of model performance, and diagnosis of data/model drift
• Familiarity with Dataiku, or other data-science-enabling tools (Sagemaker, etc)
• Demonstrated familiarity with distributed computing frameworks (snowpark, pyspark)
• Experience working with various types of data (structured / unstructured)
• Deep understanding of all data science phases (eg. Data engineering, EDA, Machine Learning, MLOps, Serving)
• Highly self-motivated to deliver both independently and with strong team collaboration
• Ability to creatively take on new challenges and work outside comfort zone
• Strong English communication skills (written & verbal)

Roles & Responsibilities:

• Clearly articulates expectations, capabilities, and action plans; actively listens with others’ frame of reference in mind; appropriately shares information with team; favorably influences people without direct authority
• Clearly articulates scope and deliverables of projects; breaks complex initiatives into detailed component parts and sequences actions appropriately; develops action plans and monitors progress independently; designs success criteria and uses them to track outcomes; drives implementation of recommendations when appropriate, engages with stakeholders throughout to ensure buy-in
• Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork; comfortable providing guidance and sharing expertise with others to help them develop their skills and perform at their best; helps others take appropriate risks; communicates frequently with team members earning respect and trust of the team
• Experience in translating business priorities and vision into product/platform thinking, set clear directives to a group of team members with diverse skillsets, while providing functional & technical guidance and SME support
• Demonstrated experience interfacing with internal and external teams to develop innovative data science solutions
• Strong business analysis, product design, and product management skills
• Ability to work in a collaborative environment - reviewing peers' code, contributing to problem- solving sessions, ability to communicate technical knowledge to a a variety of audience (such as management, brand teams, data engineering teams, etc.)
• Ability to articulate model performance to a non-technical crowd, and ability to select appropriate evaluation criteria to evaluate hidden confounders and biases within a model
• MLOps frameworks and their use in model tracking and deployment, and automating the model serving pipeline
• Work with all sizes of ML model from linear/logistic regression to other sklearn-like models, to deep learning
• Formulate training schema for unbiased model training e.g. K-fold cross-validation, leave-one- out cross-validation) for parameter searching and model tuning
• Ability to work on machine learning work like recommender systems, end-to-end ML lifecycle)
• Ability to manage ML on largely imbalanced training sets (<5% positive rate)
• Ability to articulate model performance to a non-technical crowd, and ability to select appropriate evaluation criteria to evaluate hidden confounders and biases within a model
• MLOps frameworks and their use in model tracking and deployment, and automating the model serving pipeline

Required Skills

• 4-6 years of professional experience building server applications with Node.js and the Spring framework.
• Experience working with the AWS Development stack, including: Lambda, API Gateway, DynamoDB, Cognito, Mobile Analytics, EC2 and RDS

Experience working with a handful of the following:

• relational databases: MySQL, or PostgreSQL or Oracle
• document-based data stores: MongoDB or CouchDB,
• key-value stores: DynamoDB, Redis, Memcached
• column-stores: Cassandra, Vertica
• Ability to work with front-end web technologies, like: HTML5/CSS3/Angular/Bootstrap
• Strong familiarity with *nix command line operations

1. Develop and maintain user interfaces for web applications using Angular,

They are building and implementing top-notch user interfaces using JavaScript and the Angular framework.

Writing efficient JavaScript code while also using HTML and CSS

Ensuring high performance on mobile and desktop

Able to write unit test cases

2. Work on the latest version of Angular (Angular 14 and above) to implement robust and scalable solutions.

3. Designing, coding, testing, and deploying the application.

4. Debugging issues in the application code to ensure it is working correctly

5. Collaborate with cross-functional teams to integrate RESTful APIs and ensure seamless application functionality.

6. Work according to Agile methodologies, participating in sprints, retrospectives, and other Agile ceremonies.

7. Demonstrate effective communication skills in English, enabling smooth collaboration in an international environment.

8. Adaptability and flexibility to work closely with deployment teams across various time zones.

Full Stack Developer (Dotnet & Angular)

• Develop web applications in C#, ASP.NET Core, ASP.NET MVC/WebAPI
• Design and develop backend APIs for complex custom business applications as per requirement
• Design and develop database schema, queries, stored procedures
• Develop frontend SPA using AngularJS/Angular 2+, API integration, Data binding
• Collaboration with developer team, Project managers to ideate software solutions
• Essential communication skills for customer conference calls and meetings
• Interact with clients and other stakeholders to understand their requirements/problems, provide daily updates, plan and module delivery
• Test software to ensure quality and efficiency
• Responsible to troubleshoot bugs and fix them as well as maintain/enhance existing projects
• Write technical documentation
• Working with Agile and Scrum methodologies
• Extensive knowledge of database performance optimization strategies, indexing, sharding
• Develop applications using TDD (Test Driven Development), Unit testing, Integration testing, NUnit/XUnit framework
• Design HLD/LLD architecture diagrams, Infrastructure diagrams, ER Diagrams

• C#
• NET/ASP.NET Core
• Entity Framework
• Javascript
• Typescript
• Angular
• Relational Databases (Postgresql etc.)
• NoSQL (MongoDB, DynamoDB etc.)
• NUnit/XUnit

• AWS/Azure/GCP
• Docker
• Kubernetes
• Microservices

• Design and implementation of low-latency, high-availability, and performant applications
• Developing new features & refining existing features on server-side
• Implementation of security and data protection
• Integration of data storage solutions

• Proficient in NodeJS and experience working on frameworks such as Express, StrongLoop, etc.
• 2+ years experience working on consumer mobile products / businesses at scale.
• Proficient in asynchronous programming and its quirks and workarounds
• Experience working on User Authentication and Authorisation between multiple systems, servers, and environments
• Experience working on NoSQL DBs such as MongoDB
• Experience working on Unit Testing & Functional Testing frameworks for NodeJS

• become a part of our early team, and shape products from grounds up
• Attractive Compensation & Stock Options
• empowered to build an amazing startup culture with us
• full ownership and massive growth opportunities
• and more...