Senior Executive- Sales and Marketing

The requirements are as follows:

1) Familiar with the the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

You can contact me on nine three one six one two zero one three two

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.

Data engineers:

Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.This would also include develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity

Constructing infrastructure for efficient ETL processes from various sources and storage systems.

Collaborating closely with Product Managers and Business Managers to design technical solutions aligned with business requirements.

Leading the implementation of algorithms and prototypes to transform raw data into useful information.

Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations.

Creating innovative data validation methods and data analysis tools.

Ensuring compliance with data governance and security policies.

Interpreting data trends and patterns to establish operational alerts.

Developing analytical tools, utilities, and reporting mechanisms.

Conducting complex data analysis and presenting results effectively.

Preparing data for prescriptive and predictive modeling.

Continuously exploring opportunities to enhance data quality and reliability.

Applying strong programming and problem-solving skills to develop scalable solutions.

Writes unit/integration tests, contributes towards documentation work

Must have ....

6 to 8 years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.

High proficiency in Scala/Java/ Python API frameworks/ Swagger and Spark for applied large-scale data processing.

Expertise with big data technologies, API development (Flask,,including Spark, Data Lake, Delta Lake, and Hive.

Solid understanding of batch and streaming data processing techniques.

Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.

Expert-level ability to write complex, optimized SQL queries across extensive data volumes.

Experience with RDBMS and OLAP databases like MySQL, Redshift.

Familiarity with Agile methodologies.

Obsession for service observability, instrumentation, monitoring, and alerting.

Knowledge or experience in architectural best practices for building data pipelines.

Good to Have:

Passion for testing strategy, problem-solving, and continuous learning.

Willingness to acquire new skills and knowledge.

Possess a product/engineering mindset to drive impactful data solutions.

Experience working in distributed environments with teams scattered geographically.

About IQnext

We're revolutionizing the way buildings are managed, shifting them away from traditional facilities management to a smarter, data-driven approach. IQnext is an integrated, centralized platform that is disrupting buildings and real estate infrastructure with its new-age cloud-based solution, delivering long-term sustainability and operational efficiency that is scalable across portfolios.

Job Summary

We are looking for channel professionals who have previously developed and driven revenue from a network for Reseller Channel Partners.

Opportunity

In this role, you will be responsible for driving new sales and the growth of IQnext through reseller and system integrators. You will gain knowledge and experience in the new and growing industry of SaaS and cloud.

Impact

You will work with leads to generate IQnext's revenue engine through channel sales. You will work closely with the founders and you'll also have support from our growing Product, Marketing, Customer Success, and Engineering teams to maximize the value and success of your efforts.

Responsibilities

1. Identify, appoint & onboard Channel Partner/System Integrator who can sell IQnext Products to their prospects/solutions.
2. Generate revenue through the appointed channel.
3. Prepare and execute detailed business plans with their defined partners based on customer segments and territory.
4. Ensure that the partner workforce is enabled with product knowledge and is constantly engaged through regular interactions.
5. Be an extended arm of the direct sales team by feeding them leads & opportunities through the partner network and setting up interlocks to ensure effective co-selling.
6. Ensure that partner leads/opportunities are captured in the CRM and that a weekly/monthly/quarterly pipeline is built along with the forecast.
7. Coordinate with partner operations and internal to ensure partners' issues are resolved on priority.

Desired Candidate Profile

1. Passionate about sales and technology
2. Has proven sales experience of a minimum of 2 years in Channel (CCTV, Access Control, A/V Systems, etc.)
3. Proven track record in appointing channel partners and generating business from them
4. Has excellent communication and negotiation skills
5. Proficiency in sales pipeline planning and forecasting
6. Is extremely motivated to succeed and is a problem solver

Job Benefits & Perks

1. Incentive on sales
2. Medical Insurance
3. Access to the e-learning platform

The job responsibilities include:

• Assist in establishing email marketing for our brand.
• Create automations and user journeys
• Manage day-to-day email production including campaign creation, QA and deployment.
• Assist in management of the growth and maintenance of the email database – including new sign-ups and opt-outs
• Help manage reporting on email metrics and produce insights to ensure our program continuously improves
• Manage email production with internal and external resources
• Participate in the production of all email initiatives from conception to deployment
• Assist in copywriting and editing of email content
• Perform daily engagement activities on social media channels
• Create a community of pet owners & enthusiasts across social media channels
• Responsible for organic growth of social media outreach
• Bring in fruitful PR collaboration & engagement ideas to build a recall value of the brand digitally