Business Developer Executive

• Preferably experience of Life & Non-Life Insurance products from Insurance Broking Company/Banca Insurance/Insurance Company.
• Candidate should have cleared Insurance Broking Exam (Optional), if not then after joining he/she will have to clear the exam on top most priority.
• Sound knowledge of Life/Non-Life Insurance products (Health, Motor, PA).

Qualification: UG or PG(PA) with Relevant Clinical/Teaching Skills

Location: Coimbatore

Experience: Minimum 1year

An Assistant Professor / Tutor in a Physician Assistant (PA) program works closely with students and faculty to teach clinical medicine, guide practical training, and support research. To succeed in this role, PA educators need a mix of medical knowledge, teaching ability, research skills, and interpersonal abilities. Here are the key skill categories:

🎓 Teaching & Educational Skills

These are the core competencies used in educating PA students.

• Lesson planning and curriculum development
• Clinical case-based teaching
• Practical and laboratory instruction
• Student assessment and evaluation
• Use of modern teaching methods and educational technology

These skills are used when teaching subjects related to specialties such as Internal Medicine, Emergency Medicine, Family Medicine, and Surgery.

🩺 Clinical & Medical Knowledge

PA tutors must have strong clinical understanding to train students effectively.

• Patient assessment and physical examination teaching
• Diagnostic reasoning and interpretation of tests
• Clinical procedure demonstrations
• Pharmacology and treatment protocols
• Supervision during clinical training

🔬 Research & Academic Skills

Academic faculty are expected to contribute to research and scholarship.

• Research methodology knowledge
• Scientific writing and publication
• Data collection and analysis
• Conference presentations and academic collaboration

💬 Communication & Mentoring Skills

Strong interaction with students and colleagues is essential.

• Clear lecturing and presentation skills
• Student mentoring and academic advising
• Providing constructive feedback
• Collaboration with faculty and healthcare teams

About Us:

Edstellar is a leading provider of professional development training, offering high-quality courses across various domains such as project management, leadership, and business analysis. We are expanding our digital marketing team and are looking for a PPC Executive to manage and optimize our paid search campaigns across Google Ads and other platforms. This is an exciting opportunity for a dynamic individual looking to grow their PPC skills and make a significant impact on our digital marketing efforts.

Position Overview:

We are seeking a PPC Executive with at least 5 years of experience to support and optimize paid search campaigns for Invensis Learning. You will be responsible for assisting in the setup, management, and performance analysis of our Google Ads campaigns, helping to drive quality traffic, improve lead generation, and support business growth. This position offers an excellent opportunity for an entry-level professional eager to grow their PPC expertise in a fast-paced eLearning environment.

Key Responsibilities:

1.    Campaign Setup and Management:

o   Assist in the creation and management of PPC campaigns across Google Ads, focusing on Search, Display, and Remarketing ads.

o   Set up keyword targeting, ad copy creation, and campaign structure based on business goals.

2.    Keyword Research:

o   Conduct keyword research to identify new opportunities for campaigns.

o   Optimize keyword lists and ad groups for maximum performance and relevancy.

3.    Ad Copywriting and Optimization:

o   Write effective ad copy that resonates with target audiences and drives high CTR.

o   Continuously monitor and adjust ad copy to improve performance.

4.    Campaign Monitoring and Reporting:

o   Monitor the performance of PPC campaigns daily, focusing on key metrics like CTR, CPC, and conversion rates.

o   Prepare weekly performance reports and provide insights for optimization.

5.    A/B Testing:

o   Assist in running A/B tests for ads, landing pages, and bidding strategies to determine what works best.

o   Analyze A/B test results and implement necessary optimizations.

6.    Budget Management:

o   Monitor and manage PPC budgets to ensure campaigns are cost-effective and stay within the allocated budget.

o   Adjust bids and budget distribution to ensure maximum ROI.

7.    Competitor Research:

o   Monitor competitor ads and campaigns, providing insights and recommendations for improvement.

o   Track industry trends and competitor strategies to stay ahead in the market.

8.    Landing Page Optimization:

o   Work closely with the design and development teams to optimize landing pages for higher conversions from PPC traffic.

o   Analyze landing page performance and suggest improvements.

9.    Collaboration with Cross-Functional Teams:

o   Collaborate with the SEO, content, and design teams to ensure alignment in marketing efforts.

o   Contribute to campaigns supporting product launches, promotions, and events.

10. Learning and Growth:

o   Continuously stay updated with the latest PPC trends, Google Ads updates, and industry best practices.

o   Participate in training and development sessions to enhance PPC skills.

Key Competencies:

· Google Ads Basics: Understanding of Google Ads (Search, Display, Remarketing), with experience managing basic campaigns.

· Ad Copywriting: Ability to write clear, compelling ad copy that captures the target audience's attention.

· Keyword Research and Optimization: Familiarity with keyword research tools like Google Keyword Planner and Google Trends.

· Data Analysis: Ability to track key metrics and analyze campaign performance to suggest improvements.

· Attention to Detail: A keen eye for detail to ensure campaigns are set up correctly and optimized continuously.

· Time Management: Ability to handle multiple tasks and projects in a fast-paced environment.

· Team Player: Willingness to work closely with other teams (SEO, content, design) to improve overall campaign performance.

Key Skills for Reporting and Data Analysis:

· Google Analytics: Basic understanding of Google Analytics to track website traffic and conversions.

· Excel/Spreadsheets: Competence in Excel to manage data, track performance metrics, and create simple reports.

· Google Ads Reporting: Basic proficiency in Google Ads reporting tools to generate insights into campaign performance.

· Data Visualization: Ability to present campaign data in an easy-to-understand format for stakeholders.

Preferred Qualifications:

· Experience with eLearning or Training Industry: Prior experience or understanding of the eLearning or corporate training industry is a plus.

· Google Tag Manager: Familiarity with Google Tag Manager for setting up tracking and event tags.

· PPC Certifications: Google Ads Certification or any relevant certifications are desirable but not mandatory.

Experience Required:

· Minimum 5 year of experience in managing PPC campaigns, preferably in an eCommerce, education, or services-based environment.

· Some experience with Google Ads, Bing Ads, or social media advertising platforms.

· Knowledge of Google Ads best practices and campaign optimization strategies.

Should be Graduated in the year (2021/2022) (BE/B.Tech, MCA, M.Tech)

-Good in aptitude and problem-solving skills

-Excellent in communication(Mandate)

-Passion to work in the tech industry

-Good to have exposure/trained/certified on any tech skills

We are looking for a talented and competitive Sales Development Representative that thrives in a vibrant and dynamic sales environment with the below-mentioned required skill sets: 

• Good experience Inside B2B Sales 
• Good experience selling cloud-based solutions or cloud products (but not Azure & Microsoft Cloud) 
• Must have good experience in B2B sales, Cold-Calling, and lead generation 
• Must have past work experience in Saas-based companies. 

• Candidates worked in a Startup company must have at least 2+ yrs of experience in sales business development 
• Good communication skills 
• Candidates from Bangalore, Delhi, Haryana, Mumbai, Pune etc., and those who are willing to relocate to those locations are welcome 

If you are interested, you can revert back to this posting.

About Company

‘Good Good Piggy’ is an Ed-FinTech start-up that encourages the new generation to develop the life-skill of managing the entire money management equation digitally, because the future of money is digital. We recognize the importance of reinforcing good behaviour, habits and skills from a young age.

Job Description

We are looking for a React Native developer interested in building performant mobile apps on both the iOS and Android platforms. You will be responsible for architecting and building these applications, as well as coordinating with the teams responsible for other layers of the product infrastructure. Building a product is a highly collaborative effort, and as such, a strong team player with a commitment to perfection is required.

• Total Experience: 2 to 5 Years
• Notice Period: 30-45 Days
• Preferred Location: Delhi NCR
• Role: Full Stack Developer
• Industry Type: Ed-FinTech
• Employment Type: Full Time, Permanent
• Role Category: Software Development

Responsibilities

• Architect, build and maintain excellent React Native applications with clean code.
• Implement pixel perfect UI's that match designs.
• Implement clean, modern, smooth animations and transitions that provide an excellent user experience.
• Setup/configure CI/CD pipeline leveraging AWS native services or traditional tools (e.g. Jenkins, GitHub, Artifactory, SonarQube, etc)
• Deploy applications on AWS platform leveraging AWS platform services like EC2, EBS, S3, CodeArtifact etc
• Integrate third-party API's.
• Write unit and integration tests.
• Release applications to IOS and Google Play stores.
• Work with native modules when required.
• Work as part of a small team, which will include other React Native developers, a project manager, QA professional, and a designer.

Skills And Qualifications

• 2+ years of professional experience working with React Native.
• Experience working with Swift, Java required.
• Meaningful experience working on large, complex systems.
• Ability to take extreme ownership over your work.
• An understanding of React Native best practices and a commitment to following them.
• Ability to work through new and difficult React Native issues and contribute to libraries as needed.
• Working with Agile framework especially is necessary
• Organizational and leadership abilities
• Excellent communication skills
• Problem-solving aptitude

Education

B.Tech/B.E./MCA or Equivalent

• Manage and improve the engineering process continuously and make sure the team delivers the quality code with zero-waste.
• Should provide technical leadership to major projects, but also build and manage a team of 5-8 top-notch engineers.
• Should do sprint planning and run daily stand-ups and deliver 100% hit rate.
• Maintain the legacy code base and reduce tech debt on a continuous basis.
• Able to handle multiple projects and deliver with stringent timelines without compromising the code quality.
• Work with the product team for roadmap planning and delivery as per the plan.
• Conduct sprint planning & sizing, engineering grooming, daily stand-ups, and deliver with zero spillovers.
• Prepare & publish sprint reports to the leadership team and provide visibility to stakeholders.
• Hire and mentor junior/ senior team and make them engineering champions.
• Mentor the engineering team with your technical skills to write scalable, generic, reusable code.
• Develop and Coach engineers on the team, share engineering pointers, conduct regular 1-1s with the team, and help them advance in their careers.

Requirements

• Having work experience in a Product organization with 7 -10 yrs also in leading a cross-functional engineering team that includes API Development and Backend & Middleware development.
• Should have experience in the continuous delivery process. Ship new features and improvising the code base continuously.
• Should have involved in setting up engineering process.
• Must have experience in microservices and distributed patterns.
• Must have worked on high traffic and throughput application.
• Must have prior experience in handling mid to large-size projects.
• Must have worked on high traffic and throughput application.
• Should have managed and lead the engineering team of Web App and Backend development teams.
• Must-Have Experience in Python programming & Postgressql/ Nosql (MongoDB as a data store.
• Must have experience in modern back-end tech stacks (Django, Postgress, NoSQL) and cloud design & deployment patterns.
• Must be conversant with AWS, Docker/Kubernetes
• Should be good with design patterns and integration patterns.
• Should have knowledge/ experience in concurrent programming & distributed locks.
• Requires solid understanding of technologies and architecture in a highly scalable and available set-up.
• Should have handled multiple epics, themes, and experience of delivering high-quality projects on time.
• Should have managed end to end development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

About Mastercard

We are the global technology company behind the world’s fastest payments processing network.

We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless.

We ensure every employee has the opportunity to be a part of something bigger and to change lives.

We believe as our company grows, so should you.

We believe in connecting everyone to endless, priceless possibilities.

Overview Services and Data is helping to shape the future of data insights by leveraging billions of anonymized, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively.

Advanced Analytics is charged with servicing clients by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization.

It focuses on creating innovative technology solutions which leverage technology in the data science, artificial intelligence and analytics arenas; on enabling the field with industrialized, repeatable products and on researching and incubating emerging technology to determine how they might apply to our customers and facilitate positive outcomes.

What we are re looking for

• Are you motivated by developing new Analytical skills, leading to insights into issues and developing recommendations that add real value to clients?
• Have you managed the client independently and effectively?
• Do you want to play a key role in driving a world beyond cash?
• Leading the formulation of artificial intelligence and machine learning solution objectives. Working on technical requirements based on user need.
• Responsible for creating the framework of solutions that take data intensive and complex business challenges and provide easily consumed and automated outcomes
• Using unique visualization techniques, condenses large volumes of complex ideas into elegant and simple visual models
• Determine opportunities to exploit new data sources or leverage new outcomes from existing data sources, by applying new models and algorithms to create business value
• Influences a client's strategic decisions by using deep industry expertise and deploying innovative Deep Learning analytics solutions in the operational systems Leadership Skills
• Works closely with clients/internal stakeholders to understand their business needs and design a technical solution
• Proving viability of the solution through mechanisms like proof-of-concepts
• Thought Leadership in AI – Developing compelling audience-specific messages and tools. Capture and share best practices and insights internally and with partners and customers.
• Self-driven, energetic, creative with ability to work in global teams.
• Excellent communication skills and a wide knowledge base, to convince the Stakeholders on application of AI/ML
• Provide technical leadership to the team members in relevant topics on AI/ML
• Adaptable - Takes in stride and constantly attunes to the changing needs of a highly dynamic business
• Curious - our key contributors are always seeking to grow their knowledge, to gain new perspectives, and to find better ways forward by researching and showcasing latest AI tools, techniques and applications
• Tenacious - self-starters who will take ownership of projects and bring them to completion despite difficulties or setbacks
• Consulting and Project Management Experience preferred

Functional and Technical Skills

• Experience in building and implementing AI application in any of the two domains - Fraud, risk, marketing, finance, operations for Banks, Fintech, Ecommerce, merchants or retailers
• Has a deep understanding of business value industry requirements and advanced analytic models (statistical, operations research, computing process)
• Responsible for building applications using artificial intelligence/machine learning technology, applying latest industrial and academic developments, prefer Kaggle hackathon participant
• Expertise in deep learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, Theono
• Proficient in Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s.
• Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing
• Expertise in classical Machine Learning algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil etc
• Extensive experience in statistical tools and programming environments like Python, R, SAS, SQL
• Experience with BIG DATA platforms - Hadoop, Hive, Spark, GPU Clusters for deep learning

Qualifications

• Minimum Graduate degree in Mathematics/Computer Science/Engineering