11+ TeaLeaf Jobs in India

Summary of the role: 

As an Analytics Engineer, you will work closely with internal team members to implement Adobe Analytics/Google Analytics on clients’ websites. In this role, you will use front-end technologies such as HTML, CSS, JavaScript, jQuery to support the development and implementation of web analytics tracking. You will also set up and maintain successful Adobe Analytics/Google Analytics deployments and identify and solve complex and interesting tracking problems. Using JavaScript/jQuery, you will design analytics solutions by understanding the client’s business and online marketing goals, gathering requirements, defining project scope, and providing technical guidance.

Qualification:

• Bachelor’s degree from an accredited university
• Strong technical aptitude and expertise with JavaScript, HTML,CSS
• Expertise in Adobe DTM/Adobe Launch and Adobe Analytics implementation through other tag management solutions

Experience:

• 3+ years of relevant experience in Adobe Analytics implementation using DTM/Adobe Launch
• Web Development experience is a plus as it relates to the development, configuration and implementation of Web Analytics solutions
• Experience with other web platforms like Google Analytics, Tealium, Tealeaf, etc. is a plus

Responsibilities:

• Understand client business requirements and how to map those requirements to specific digital measurement tactics
• Development of documentation, deliverables and solutions requirements for web analytics tracking
• Work closely with account management and development teams to oversee the implementation, configuration and debugging of web analytics code, both on-site and through tag management systems
• Support digital marketing teams (paid search, SEO, conversion rate optimization, digital media, etc.) to implement customized tracking for campaign initiatives

Key Skills:

• Strong understanding of web analytics implementation tools - Adobe Analytics Implementation Experience
• Ability to use Adobe DTM/Adobe Launch to implement changes suggested by web analytics team
• Hands on experience in writing DTM rules and troubleshooting the existing implementations
• Expert-level knowledge in Adobe DTM/ Adobe Launch and Adobe Analytics is a must
• Knowledge and experience in Google Analytics/Google Tag Manager or other web analytics platforms is a plus
• Knowledge of web development technologies - JavaScript, HTML, CSS etc.
• Experience in producing technical specifications, solution design reference documents, reference manuals, developer guides, and/or code requirements
• Excellent ability to read and debug HTML, JavaScript to successfully test tags
• Presents results in a manner that the business partners can understand, ensuring interpretation, appropriate detail and usability
• Excellent written skills and the ability to write for both technical and non-technical users
• Willingness to travel for client discoveries and other off-site meetings
• Experience with developing analytics testing processes
• Ability to effectively communicate with clients and colleagues at all levels

As a part of Design Team, we work on products that empower Recruiters to increase their productivity. We own these projects from start to finish and collaborate with a multidisciplinary team of developers, product managers, content strategists, and researchers to deliver the best possible experience.

Responsibilities:

• Create and communicate end to end user interface design specs, including high priority and high visibility complex interaction and dialog flows, wireframes, interactive prototypes

• Single handedly drive designs and oversee the strategic and tactical deliverables related to that project

• Coordinate and plan with other functions, including identifying the appropriate UX methods and tools to use depending on project constraints. Manage stakeholder expectations

• Understand both the user behavior and the technology components (speech, natural language) that make for a natural, efficient, and reliable machine-to-human conversation

• Support and contribute to the voice talent and persona definition process for different design situations

• Conduct usability tests using prototypes and incorporate findings and usage data to refine the design

• Develop design principles and style guides to be followed in a voice-first environment to create a consistent user experience

• Work in a highly iterative and nimble environment with product managers, engineers, and recruiters to get your design shipped

Requirements:

• Bachelors/Masters in Design, HCI, Cognitive Psychology, or any other related field

• 4+ years of experience as an experience designer for web/mobile or voice applications

• Hands on experience with XD, Illustrator, Photoshop (or equivalent programs)

• Deep knowledge of UX design, user research, visual design, and Service design

• Experience working cross-team while taking feedback from product management, engineering, business and marketing

• Excellent problem solving skills along with deep empathy for users

• Good experience in designing mobile interfaces and responsive desktop sites

• Excellent written and communication skills

• Fluency in English and Hindi. Added bonus if you know other Indian languages

Preferred Skills:

• Experience with conversational product design

• Creativity, logical thinking, solid design process and detailed design presentations

• Familiarity with speech and natural language processing technologies

• Expertise in motion design or prototyping

About the Role:

We’re looking for a dynamic and results-oriented Sales Executive who is confident in communication, persuasive in approach, and passionate about driving business growth. The ideal candidate should be equally comfortable handling inside sales, marketing coordination, and client presentations.

Key Responsibilities:

• Identify, qualify, and convert leads through consultative and inside sales techniques.
• Develop and maintain long-term relationships with potential clients.
• Conduct engaging presentations/webinars, and product demos to explain IT solutions.
• Collaborate with the marketing team to execute lead-generation campaigns.
• Support in Sales & Operations Planning (S&OP) for pipeline forecasting and reporting.

Requirements:

• Proven experience in sales and webinar hosting/presentations (mandatory).
• Excellent public speaking and presentation skills.
• Strong interpersonal, communication, and persuasion skills.
• Comfortable with digital tools and webinar platforms (Zoom, Google Meet, etc.).
• Goal-oriented with a passion for delivering results.

Full Stack Developer

• Department: IT
• Location: Gurugram / Mohali / Karnal
• Shift: General
• Experience: 2+ Years
• Language: English
• Skills & Requirements:
• Core: React, Node.js
• Additional (Good to Have): Python, Flutter, Angular
• Experience in building scalable web applications

Roles and Responsibilities

1.

Manage client relationships, and facilitators relationship at MHFAI for training and post-training support.

2.

Ideate, design, and implement program that focused on post-training support for mental health first-aiders.

3.

Leverage the new products of MHFAI to the clients that ensures implementation of mental health by building tools and guidelines (for organized groups).

4.

Oversee and facilitate MHFAI instructors for training and upskilling.

5.

Monitor and coordinate the MHFAI Awards program with all the stakeholders involved.

6.

Draft and initiate scientific research, and create tools required at workplace to measure mental health.

7.

Plan and manage webinars, events and activities to promote the idea of mental health at workplaces and educational institutions.

8.

Draft, design, manage and implement guidelines / resources with focus on mental health for the benefit of organized groups.

9.

Keep up-to-date with the latest trends and best practices in Learning and Development and / or mental health, and incorporate them into our training programs.

10.

Manage the Learning and Development budget, ensuring that resources are allocated effectively and efficiently.

11.

Provide support in other operational functions of MHFA as needed.

Requirements:

•

1-5 years in clinical work and / or mental health training

•

Qualification: Msc. Counselling Psychology

Msc. Applied Psychology (any specialization, preferably HR Specialization ) Master of Social work

•

Experience in Clinical Practice / Research

•

Exposure to mental health training and created content or training on Mental Health for Adult

•

Experience of having previously worked in organized group is desirable

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Glance – An InMobi Group Company:

Glance is an AI-first Screen Zero content discovery platform, and it’s scaled massively in the last few months to one of the largest platforms in India. Glance is a lock-screen first mobile content platform set up within InMobi. The average mobile phone user unlocks their phone >150 times a day. Glance aims to be there, providing visually rich, easy to consume content to entertain and inform mobile users - one unlock at a time. Glance is live on more than 80 millions of mobile phones in India already, and we are only getting started on this journey! We are now into phase 2 of the Glance story - we are going global!

Roposo is part of the Glance family. It is a short video entertainment platform. All the videos created here are user generated (via upload or Roposo creation tools in camera) and there are many communities creating these videos on various themes we call channels. Around 4 million videos are created every month on Roposo and power Roposo channels, some of the channels are - HaHa TV (for comedy videos), News, Beats (for singing/ dance performances) along with a For You (personalized for a user) and Your Feed (for videos of people a user follows).

What’s the Glance family like?

Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. Glanciers are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion.

What can we promise? 

We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for Glance and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At Glance, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work. 

What you will be doing?

Glance is looking for a Data Scientist who will design and develop processes and systems to analyze high volume, diverse "big data" sources using advanced mathematical, statistical, querying, and reporting methods. Will use machine learning techniques and statistical analysis to predict outcomes and behaviors. Interacts with business partners to identify questions for data analysis and experiments. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and or prepares output from analysis and experiments to business partners. 

You will be working with Product leadership, taking high-level objectives and developing solutions that fulfil these requirements. Stakeholder management across Eng, Product and Business teams will be required.

Basic Qualifications:

• Five+ years experience working in a Data Science role
• Extensive experience developing and deploying ML models in real world environments
• Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields
• Exceptional familiarity with Python, Java, Spark or other open-source software with data science libraries
• Experience in advanced math and statistics
• Excellent familiarity with command line linux environment
• Able to understand various data structures and common methods in data transformation
• Experience deploying machine learning models and measuring their impact
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Preferred Qualifications

• Experience developing recommendation systems
• Experience developing and deploying deep learning models
• Bachelor’s or Master's Degree or PhD that included coursework in statistics, machine learning or data analysis
• Five+ years experience working with Hadoop, a NoSQL Database or other big data infrastructure
• Experience with being actively engaged in data science or other research-oriented position
• You would be comfortable collaborating with cross-functional teams.
• Active personal GitHub account.