Field Sales Executive

MANDATORY CRITERIA:

- Candidate Must be a graduate from IIT, NIT, NSUT, or DTU.

- Need candidate with 1–2 years of pure Product Analyst experience is mandatory.

- Candidate must have strong hands-on experience in Product + Data Analysis + Python.

- Candidate should have Python skill on the scale of 3/5 at least.

- Proficiency in SQL and ability to work with large datasets.

- The candidate must experience with A/B testing, cohorts, funnels, retention, and product metrics.

- Hands-on experience with data visualization tools (Tableau, Power BI, Looker, Mixpanel, GA, etc.).

- Candidate must have experienece in Jira.

- Strong communication skills with the ability to work with Product, Engineering, Business, and Ops teams.

OVERVIEW:

As a Product Analyst, you will play a critical role in driving product decisions through data insights and operational understanding. You’ll work closely with Product Managers, Engineering, Business, and Operations teams to analyze user behavior, monitor feature performance, and identify opportunities that accelerate growth, improve user experience, and increase revenue. Your focus will be on translating data into actionable strategies, supporting product roadmaps, and enabling informed decision-making across demand-side projects and operations.

WHAT YOU WILL DO?

● Partnering with Product Managers and cross-functional teams to define metrics, build dashboards, and track product performance.

● Conducting deep-dive analyses of large-scale data to identify trends, user behavior patterns, growth gaps, and improvement opportunities.

● Performing competitive benchmarking and industry research to support product strategy and prioritization.

● Generating data-backed insights to drive feature enhancements, product experiments, and business decisions.

● Tracking post-launch impact by measuring adoption, engagement, retention, and ROI of new features.

● Working with Data, Engineering, Business, and Ops teams to design and measure experiments (A/B tests, cohorts, funnels).

● Creating reports, visualizations, and presentations that simplify complex data for stakeholdersand leadership.

● Supporting the product lifecycle with relevant data inputs during research, ideation, launch, and optimization phases.

WHAT WE ARE LOOKING FOR?

● Bachelor’s degree in engineering, statistics, business, economics, mathematics, data science, or a related field.

● Strong analytical, quantitative, and problem-solving skills.

● Proficiency in SQL and ability to work with large datasets.

● Experience with data visualization/reporting tools (e.g., Excel, Google Sheets, Power BI, Tableau, Looker, Mixpanel, GA).

● Excellent communication skills — able to turn data into clear narratives and actionable recommendations.

● Ability to work collaboratively in cross-functional teams.

● Passion for product, user behavior, and data-driven decision-making

● Prior internship or work experience in product analytics, business analysis, consulting, or growth teams.

● Familiarity with experimentation techniques (A/B testing, funnels, cohorts, retention metrics).

● Understanding of product management concepts and tools (Jira, Confluence, etc.).

● Knowledge of Python or R for data analysis (optional but beneficial).

● Exposure to consumer tech, mobility, travel, or marketplaces.

• Skills needed: Workday implementation and testing management experience; Proficient in Workday Compensation Module
• Microsoft office; Vision; Strong communication and written skills

We are looking "Personal Assistant" for Reputed Client @ Coimbatore Permanent Role.

Experience: 2-4 Yrs

Key Responsibilities:

• To act as a first point of contact dealing with correspondence and phone calls. 

• To proactively manage and coordinate the diary of the Chief Executive by prioritizing and arranging internal and external meetings, ensuring appropriate briefing papers are prepared and provided. 

• Maintain effective filling and data storage including emails and retrieval systems ensuring the needs of the Chief executive are met. 

• To provide full personal assistant support by dealing with all correspondence and calls, drafting routine letters to a high standard, minute meetings, taking messages and other administrative tasks as required to support the Chief Executive. 

• To provide support for Board of Director meetings by ensuring meetings are properly arranged and serviced. This will include drafting agendas, collating papers and reports, taking minutes and following up action points. 

• Supporting the Chief Executive to keep the Board of Director informed about the work of the organization and their appropriate training and induction. 

• To service meetings of the Senior Management Team by drafting and collating papers and reports, preparing manageable agendas, taking minutes and following up on actions points. 

• To plan and manage key organizational events such as; AGM, Staff and Volunteer conference, Strategy days, Staff briefings and others as required

As a Full Stack Developer, you'll be instrumental in shaping the future of AI assistants for data teams and understanding the intricacies of Large Language Models (LLMs) to optimise their usage across multiple use cases. Utilising Django, you'll architect backend infrastructures optimised for handling data processes and LLM interactions. Your role involves building APIs with the Django Rest Framework. With React, you'll design user-centric interfaces that seamlessly integrate with our AI assistants, ensuring that data teams have an intuitive experience. Working at the forefront of AI revolutions and pushing the boundaries of what AI can achieve in data management and analysis.

Responsibilities:

• Back-end Development: Utilise Django to architect robust back-end infrastructures. Ensure they are tailored for complex data processes and seamless LLM interactions.
• API Design: Craft efficient and scalable APIs using the Django Rest Framework.
• Front-end Development: Transform UI/UX designs into functional web pages using React. Prioritise performance and deliver seamless user experiences.
• AI Integration: Design user interfaces that flawlessly integrate with our LLMs, and AI assistants, aiming to offer data teams an intuitive and efficient interaction.
• Innovation: Stay abreast of AI advancements. Push boundaries and explore new possibilities in data management and analysis using AI.

Requirements:

• Pre-requisite Tech Stack: Python, Django, React, Springboot, CSS, and SQL
• Previous work experience with a start-up or similar setting is preferred
• Having an interest in system architecture design

• Design and Build cloud architecture/infrastructure
• Provision, maintain and administer MS Azure Cloud Environment
• Windows server administration.
• Implement and maintain cloud monitoring, auditing and network management functions.
• Optimize the processes for cloud-based data storage, backups and restores.
• Implement cloud security to protect data, applications, and infrastructure.
• Develop, maintain, and execute Configuration Management scripts.

• Experience in server hardening best practices
• Knowledge of special security arrangements like Network security, DoS Protection, OS firewall, etc
• Ability to work with software firewalls and web application firewalls
• Log management and replication to a central server
• Ability to architect a secure deployment in Azure/Aws cloud using the native abstractions and services provided by respective cloud service providers.
• Ability to conduct a self VAPT of the network and servers, so that the environments are better prepared for external audits by customers' info sec teams and/or auditors.
• Ability to use DevOps automation to setup environments from scratch and also patch them from time to time to handle the changes resulting out of various factors e.g. VAPT audits, customer requests
• Experience building solutions using MS Azure DevOps.
• Knowledge of general networking concepts (e.g., DNS, TCP/IP, and firewalls).
• Experience development & maintenance of a CI/CD system.
• In-depth knowledge of build and deployment automation technologies.
• An attitude and ability to take ownership and deliver a high-quality product, on time.
• Experience of implementing DevOps
• Experience in DevOps Architectural decisions, tools selection, best practices.
• Constant research and learning on new tools and technologies in DevOps space.