Data Insights & Analyst

Job type - Full-time

Location - Work from Home

Work timings - 12pm - 9PM IST (Monday to Saturday)

Roles & Responsibilities:

• Collaborate with the creative team to develop concepts and storyboards for motion graphics projects
• Design motion graphics for a wide range of purposes, including promotional videos, social media content, presentations, and advertisements
• Have knowledge of software such as Adobe After Effects, Premiere Pro, and Illustrator to produce high-quality animations and visual effects
• Keep abreast of industry trends and best practices in motion graphics design and animation. Work efficiently to meet project deadlines while maintaining high standards of quality and creativity

Requirements:

• Adobe After Effects
• Adobe Premiere Pro
• Final Cut Pro
• Video Editing
• Video Making

Google Form Link - https://forms.gle/sMWjmZ7z3ogAhkTV6

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Our client is a SaaS platform that integrates technologies including Artificial Intelligence, Machine Learning, Big Data Analytics, and Automation to offer brands a comprehensive Customer Experience Management Suite. Our powerful analytics algorithms have empowered established brands to solidify their presence in the digital realm and revolutionize their customer experience endeavors. 

Position Description: We are seeking a dynamic Manager - Enterprise Sales to drive revenue growth and expand our B2B SaaS client base. The ideal candidate will have a proven track record of exceeding sales targets, nurturing client relationships, and deep expertise in the SaaS sector.

Key Responsibilities:

- Develop and execute high-impact sales strategies to surpass targets in the B2B SaaS sector.

- Identify and cultivate new business opportunities through strategic networking and leveraging industry connections.

- Build and maintain strong relationships with enterprise-level clients, understanding their needs and delivering tailored SaaS solutions.

- Collaborate with the marketing team to create targeted campaigns and compelling collateral for enterprise clients.

- Conduct product demonstrations and presentations to key stakeholders, highlighting the value proposition of our SaaS products.

- Manage contract negotiations and guide prospects through the sales process from initial contact to deal closure.

- Stay informed about industry trends, competitors, and market conditions to seize opportunities and mitigate risks.

Requirements

- Bachelor's degree in Business Administration, Marketing, or related field; MBA preferred.

- 5+ years of successful B2B SaaS Enterprise Sales experience, consistently exceeding sales targets.

- Deep understanding of the SaaS industry, including trends, technologies, and customer pain points.

- Excellent communication, negotiation, and presentation skills.

- Ability to foster and maintain relationships with enterprise-level clients.

- Strong analytical skills to translate client needs into effective SaaS solutions.

- Capacity to work independently and collaboratively in a team environment.

- Willingness to travel for client engagement and industry events.

Benefits

- Medical Coverage: Comprehensive healthcare coverage for you and your family.

- Fast-Paced and Dynamic Work Environment: Opportunity to thrive in an innovative, agile workplace with real impact.

- Learning and Upskilling: Access to professional development resources, including training and workshops.

- Collaborative Workplace: Join a team that values open communication, knowledge sharing, and mutual respect.

We are seeking a talented and experienced Engineering Lead to join our Team. As the Engineering Lead, you will play a crucial role in driving the technical direction of our mobile app development, focusing on iOS and ReactJS technologies. You will lead a small team of software engineers and work closely with the product and design teams to deliver innovative and high-quality mobile applications. The ideal candidate is a hands-on technologist with a passion for startups, possesses strong leadership skills, and thrives in a fast-paced, dynamic environment.

Responsibilities:

• Lead and manage a team of software engineers, providing mentorship, guidance, and support throughout the software development lifecycle
• Set clear objectives and performance expectations for the team members, and regularly assess and review their performance
• Collaborate with product managers, designers, and other stakeholders to understand project requirements and define the technical roadmap for mobile app development projects.
• Provide technical expertise and guidance to the team, assisting with architectural decisions, code reviews, and problem-solving.
• Ensure the timely delivery of high-quality mobile applications by managing resources, setting realistic project timelines, and resolving any obstacles or bottlenecks.
• Stay up-to-date with the latest industry trends and advancements in mobile app development, iOS, and ReactJS technologies, and identify opportunities to leverage new tools and frameworks.
• Foster a culture of continuous improvement within the team, encouraging knowledge sharing, adopting best practices, and promoting a positive and collaborative work environment.
• Collaborate with cross-functional teams, such as QA, DevOps, and UX/UI, to ensure seamless integration and deployment of mobile applications.
• Act as a point of contact for technical discussions, representing the team in meetings with stakeholders and upper management.
• Identify and address any technical or performance-related issues, working closely with the team to resolve them and ensure the stability and scalability of the mobile applications.

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.

• Define and document best practices and strategies regarding application deployment and infrastructure maintenance.
• Ensure limited system failure and increase up-time and availability of the various company apps.
• Understand the current application infrastructure and strive for making it better.
• Automate infrastructure and develop tools and processes to improve the customer experience and reduce support time.
• Work closely with a team of developers and solution strategists to develop, deploy and troubleshoot the deployment and infrastructure issues.
• Manage full application stacks from the OS through custom applications using Amazon cloud-based computing environments.
• Set up a monitoring stack.
• Implement the application’s CI/CD pipeline using the AWS stack. Increasingly automate and improve the testing plans and development workflows and tools.
• Work closely with the engineers to design networks, systems, and storage environments that effectively reflect business needs, security requirements, and service level requirements.
• Manage a continuous integration/continuous deployment methodology for the server-based technologies.
• Proficient in leveraging CI and CD tools to automate testing and deployment. Experience working in an Agile, fast-paced, DevOps environment.
• Support internal and external customers on multiple platforms.
• First point of contact for handling customer issues, providing guidance and recommendations to increase efficiency and reduce customer incidents.
• Learn on the job and explore new technologies with little supervision.
• In addition to providing customer support, will be responsible for helping build tools and processes necessary for excellent customer outcomes.

Skills:

• Experience with the core AWS services, plus the specifics mentioned in this job description.
• Experience working with at least one of the following languages: Node.js, Python, PHP, Ruby, Kotlin or Java.
• Proficient with Git and Git workflows and hosted enterprise Git solutions like GitHub.
• Ability to troubleshoot distributed systems.
• Experience with. AWS EKS Kubernetes infrastructure setup.
• Experience creating Cloud Formation Template to create Auto Scaling Groups, Route 53, DNS, back-end database, Elastic load balancer, VPCs, Subnets, Security Groups, Cloud Watch, S3, IAM roles, RDS DB instances, and to provide those instances and configure those resources to work together reducing the manual effort.
• Experience in deploying and monitoring microservices on Kubernetes, AWS ECS, and AWS EKS
• Security aware and ensures that all systems are security standards-compliant.
• Good background in Linux/Unix administration.
• Experience with building or maintaining cloud-native applications.
• Minimum 3-5 years of cloud development experience, preferably AWS
• Experience with CI/CD tools like Jenkins preferred.
• Good analytical and communication skills
• Bachelor’s Degree in Computer Science, Engineering or a related technical discipline

Our client is a 4 decade old diversified business group with holdings in FMCG and hospitality. Their FMCG portfolio comprises of a well known mouth freshener and soon-to-be-launched confectionery products.

They have an excellent reputation for their hotels in North India. The aesthetically designed rooms, the multi-cuisine restaurant, corporate facilities like conference rooms, banquets and other services like gym and spa in their hotels are all world-class arrangements at a reasonable price.

What you need to have:

Responsibilities

 Analyze user engagements (e.g. click-through and bounce rates)

 Report on web traffic from all social media

 Build and support SEO strategies, including optimizing keywords in content marketing projects

 Identify the habits of our online customers and suggest ways to reach a broader audience

 Maintain a cohesive strategy across all platforms to increase our brand awareness

 Coordinate with our digital team and the Marketing department to design advertising campaigns

 Ensure timely responses to customers and followers’ queries and comments

 Advise other employees on their social media activity (e.g. how to respond to comments and questions by customers and what to share on personal or company accounts)

 Research how emerging social networks and features can benefit our company

Requirements:

 Previous work experience as a Social Media Analyst, Social Media Coordinator, or similar role

 Hands-on experience with social media platforms and digital marketing campaigns

 In-depth understanding of SEO, keyword research, and Google Analytics

 Experiences with social media management tools, like Buffer and Hootsuite

 Familiarity with online content (experience with WordPress and content management systems preferred)

 Ability to identify target audience preferences and trends

Excellent communication skills

 Time management and multitasking skills

 Additional qualifications in digital technologies or social media management will add plus points in your performance.

• CI/CD
• Using tools like Git, Bitbucket, Jenkins, SonarCube, etc.  
• Understand Agile Values & Principles
• Knowledge of the DevOps methodology / should have worked on projects in a DevOps environment

• Experience in QA processes, Test Strategy, Test Design, Test execution analysis & reporting
• Design, develop, document, and maintain manual test cases and automated test scripts.
• Actively contribute in the day-to-day planning, design, execution, and reporting of manual test cases and automated test scripts
• Follows software engineering principals in development of automation, manual test cases, software tools, and SQL
• Understand and apply test-driven design concepts to test and debug automated solutions or manual test executions and software utilities developed by self and others
• Deliver accurate and maintainable code for test automation and software utilities
• Experience and desire to work in a Global delivery environment
• Proficient in Speaking, Reading and Writing English
• Should be able to take ownership of meetings, communicate thoughts clearly/concisely and push back whenever required
• Should be able to instruct and guide teams