Operations Lead

Job Description

CRM Management & Optimization : Oversee CRM platforms like HubSpot, Salesforce, ensuring clean data, automation, reporting, and seamless user experience across teams.

System Integration : Collaborate with IT teams to integrate CRM systems with internal platforms and tools (LMS, ticketing, communication systems, etc.).

Automation & Efficiency : Identify process gaps and implement workflow automation to improve turnaround time and reduce manual dependencies.

Data & Reporting : Build and maintain dashboards and reports for operations, sales, and training performance using Excel, HubSpot, Power BI, or Tableau.

Technical Coordination : Act as the technical liaison between internal teams and external vendors to ensure efficient system performance and support.

Training Operations : Oversee scheduling, logistics, and delivery of tech training programs, ensuring alignment with business goals and quality standards.

Project Management : Lead or support cross-functional initiatives aimed at enhancing operational infrastructure and processes

Client Engagement : Serve as a technical point of contact for clients, resolving queries related to operations, system access, or integration.

Requirements

Bachelor's degree in Information Systems, Computer Science, Business, or related field

5–8 years of experience in technical operations, CRM management, or project coordination

Strong hands-on experience with CRM platforms (HubSpot, Salesforce, Zoho)

Proficiency in Excel and familiarity with reporting tools like Power BI, Tableau

Working knowledge of database management, data migration, APIs, and middleware tools

Understanding of HTML / CSS or JavaScript for CRM customization (preferred)

Strong analytical and problem-solving skills

Experience in leading operational improvement and automation projects

Excellent communication and cross-functional collaboration skills

Preferred Attributes

Certification in Salesforce, HubSpot, or Project Management (PMP / Agile)

Prior experience in EdTech, IT consulting, or training delivery environments

Ability to work independently and manage multiple technical initiatives concurrently

Benefits

Innovative Environment :   Thrive in a collaborative culture that values innovation and continuous improvement.

Learning & Growth :   Access to internal training programs, certifications, and mentorship from industry experts.

Career Development :   Structured growth opportunities and competitive compensation.

Cutting-Edge Tech :   Work with modern data technologies and contribute to digital transformation initiatives.

Health & Wellbeing :   Comprehensive

medical insurance   coverage for you.

Work-Life Balance :   Generous

paid leave .

Requirements

Educational Background : Bachelor's and Master’s degrees in Data Science, Computer Science, Statistics, or a related field. Technical Skills : Proficient in Python and familiar with key data science libraries (Pandas, Scikit-Learn, TensorFlow, or PyTorch). Strong understanding of all complex machine learning algorithms not limited to decision trees, random forests, and gradient boosting machines. Competence in data preprocessing, cleaning, and analysis. Familiarity with data cleaning, transformation, and preprocessing techniques. Experience with SQL and possibly some NoSQL databases for data querying and manipulation. Basic knowledge of data visualization tools like Matplotlib and Seaborn. Strong skills in SQL for data extraction, and the ability to work with complex database systems. Advanced knowledge of analytical tools and software such as Excel, Tableau, or more specialized software depending on the industry (e.g., SAS, SPSS). Experience with data visualization and the ability to create interactive dashboards. Vast knowledge of NLP, Deep Learning, Machine Learning , Knowledge of genAI with implementation knowledge (LLM, fine tuning RAG implementation) and many more. Familiarity with cloud services (AWS, Azure, Google Cloud) for data processing and storage.. Professional Experience : 2-3 years of experience in a data science or related role. Proven track record of developing and deploying machine learning models to solve business problems. Experience in projects that involve complex data structures and large-scale datasets. Exposure to model validation and implementation in a production environment. Demonstrated experience in analyzing large datasets and delivering actionable insights. Proven track record of effectively communicating findings to help inform business decisions. Experience in performing statistical analysis, forecasting, and establishing data structures that optimize analytical capabilities. Soft Skills : Strong problem-solving skills with a capability to work through complex issues using a logical and analytical approach. Good communication skills to effectively articulate insights and technical details to non-technical stakeholders. Ability to work collaboratively in team settings and manage project timelines effectively. Strong attention to detail with the capability to work on multiple projects simultaneously. Effective communication skills, capable of presenting complex information in an understandable and compelling manner. Collaboration skills to work effectively with both technical teams and business units.