- 6-8 years’ Digital analytics implementation experience with Google Analytics experience
- Expertise in Google Analytics Tag implementation using Tealium and Google Tag Manager or similar tools like Ensighten, Adobe Launch. Ability to Implement, Manage different tools/extensions in Tag Management System
- experience any other debugging tool - Omnibug, ObservePoint, or any other debugging tool
- Understanding of TMS architecture & functioning
- Intermediate to advanced JavaScript skills
- Experience with HTML and CSS selectors (preferably JQuery)
- Understanding of TMS architecture & functioning

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EXCITED ABOUT YOUR TASKS?
Role Overview: We are seeking a motivated and detail-oriented HR Operations Intern to join our
dynamic HR team. This intern will support the HR Operations department, primarily focusing on employee engagement practices, retention strategies, and assisting the Senior HR Operations
Manager.
Responsibilities:
• Assist in developing and implementing employee engagement programs.
• Support Senior HR Operations Manager with HR tasks, including managing employee
records.
• Contribute to employee retention strategies and programs.
• Help prepare HR reports and presentations using Ms Offices and other tools.
• Communicate HR policies, benefits, and initiatives to employees.
• Collect and analyse employee feedback to improve engagement.
• Handle administrative tasks like scheduling, event organization, and documentation.
Must Have:
• Graduate of an MBA in HR or a related field.
• Strong verbal and written communication skills.
• Proficient in Microsoft Excel (formulas, data analysis).
• Detail-oriented with good organizational skills.
• Ability to work independently and in a team.
• Proactive, enthusiastic, and eager to learn.
• Prior HR or operations internship experience is a plus.
- Overall Synopsis (Skills to focus)
- Brush up your skills in Photoshop & Illustrator
- Illustrator tools - Pen tool, Gradient, Pathfinder, Blending modes, type on a path, rotate and reflect, mesh tool, selection tool, etc.
- Photoshop tools – change the color of the background, remove a selection, pen tool etc.
- Make sure to revise to recreate curves, and nodes smoothly while doing vectorization.
- Try making some logo designs, and work on the curves & texture.
This is FULL TIME WFH NIGHT SHIFT role.
The role is fully Remote but the client is conducting Drive interview at Bangalore on 4-5 Oct
If interested kindly share your updated cv at 82008 31681
The role will be part of our customer success team. You will work extensively on large datasets to identify and help remediate data risks for customers from diverse domains, and support them as a trusted security advisor.
Responsibility
- Analyse customer data on Concentric Platform, extract relevant insights to identify data risks, develop risk remediation strategies
- Prepare and present data risk reports to customers. Handhold them for implementation of the risk remediation strategies
- Develop, curate and maintain training datasets for AI models
- Label large datasets for supervised learning of AI models
- Serve as customer’s trusted data security advisor, providing subject matter expertise, strategic guidance to drive adoption of concentric platform aligned with customer objectives
- Strong experience on with data analytics. Proven ability to extract relevant insights from big volumes of data to solve specific problems. Eye for detecting trends, anomalies in data.
- Experience in developing training datasets for AI models and data labelling for supervised learning of AI models.
- Excellent attention to detail
- Customer advisory experience preferably in data security domain
- Experience on with Excel as data analysis and reporting tool is required. Knowledge of other tools like Python, Kibana, Jira, ppt will be a plus.
- Broad knowledge of operationalizing data security, regulations and standards will be an advantage
- Excellent communication skills across various formats and mediums. Strong presentation and facilitation skills
- Use creative problem-solving skills to help customers reach their business goals and maximize the value they are getting from Concentric platform
- Graduate/Post Graduate in Engineering discipline from premium institute
- Propose efficient technical solutions and programming design
- Write technical specifications (COBOL/400)
- Do development and unit testing in COBOL/400
Customer Success Specialist
Location - Pune
Promobi is looking for a Customer Success Specialist who would be responsible for
developing customer relationships to promote customer retention and loyalty. Who will
value and nurture the client-business relationship and will connect the company product to
the customer to maximize satisfaction? Someone who would be Reviewing the existing
customer accounts and customer satisfaction. And will focus on growing additional sources
of revenue and product reach within accounts.
Key Responsibilities :
The individual role that you’ll play in our team:
● To support the post-sales customer lifecycle as it relates to customer adoption,
on-going support, program optimization, and expansion.
● Create better modes of operations to make customer service easier for both team
members and customers.
● Pay attention to customer’s details and complaint
● Provide customer training and education on company products.
● Provide technical support to the customer, with the help of the Technical team
● Establish a successful account management routine.
● Create, manage and track customer data using online tools
● Develop and implement a well-planned customer on-boarding
● Support customer renewals, proactively identifying and prioritizing resources and
strategic value and renewal timeframe.
● Closely monitor the assigned Accounts; providing insight to Customers.
● To be responsible for customer retention and the prevention of churn across our
Customer base
● Focus on customer relationship management by helping them to upgrade to better
plans and get more revenue for the business.
What we want to see in the potential Candidate
● Ability to work on customer relationship management applications
● Quick learner and versatile.
● Must possess strong communication skills in English,---both written and verbal
● Excellent skills for communicating and relating with both team members and
customers
● Good interpersonal skills to create a cordial relationship with team members
● Ability to work in a fast-paced, entrepreneurial, results-oriented culture.
● Have good to handle disputes and emergencies
● Must have a strong understanding of our Customers’ business objectives
● Ability to identify and articulate how solution supports achievement of the
Customers’ strategic business goals
● An excellent problem solver with strong analytical skills
● The ability to manage your time and plan your day effectively
Scalefusion (formerly known as Mobilock Pro): (Our Flagship Product)
Scalefusion MDM allows organizations to secure & manage endpoints including
smartphones, tablets, laptops, rugged devices, mPOS, and digital signages, along with apps
and content. It supports the management of Android, iOS, macOS and Windows 10 devices
and ensures streamlined device management operations with InterOps. Fusion of Endpoints
at Scale.
Promobi Technologies:
ProMobi Technologies provides a leading Mobile Device Management Solution under the
brand Scalefusion. The solution allows organizations to manage Android and iOS devices
from the cloud. It offers modern mobile device management (MDM), application
management (MAM) and content management (MCM) experience for corporate-owned
devices. Renowned organizations from startups to Fortune 500 trust Scalefusion for their
Device Management
Your mission is to help lead team towards creating solutions that improve the way our business is run. Your knowledge of design, development, coding, testing and application programming will help your team raise their game, meeting your standards, as well as satisfying both business and functional requirements. Your expertise in various technology domains will be counted on to set strategic direction and solve complex and mission critical problems, internally and externally. Your quest to embracing leading-edge technologies and methodologies inspires your team to follow suit.
Responsibilities and Duties :
- As a Data Engineer you will be responsible for the development of data pipelines for numerous applications handling all kinds of data like structured, semi-structured &
unstructured. Having big data knowledge specially in Spark & Hive is highly preferred.
- Work in team and provide proactive technical oversight, advice development teams fostering re-use, design for scale, stability, and operational efficiency of data/analytical solutions
Education level :
- Bachelor's degree in Computer Science or equivalent
Experience :
- Minimum 3+ years relevant experience working on production grade projects experience in hands on, end to end software development
- Expertise in application, data and infrastructure architecture disciplines
- Expert designing data integrations using ETL and other data integration patterns
- Advanced knowledge of architecture, design and business processes
Proficiency in :
- Modern programming languages like Java, Python, Scala
- Big Data technologies Hadoop, Spark, HIVE, Kafka
- Writing decently optimized SQL queries
- Orchestration and deployment tools like Airflow & Jenkins for CI/CD (Optional)
- Responsible for design and development of integration solutions with Hadoop/HDFS, Real-Time Systems, Data Warehouses, and Analytics solutions
- Knowledge of system development lifecycle methodologies, such as waterfall and AGILE.
- An understanding of data architecture and modeling practices and concepts including entity-relationship diagrams, normalization, abstraction, denormalization, dimensional
modeling, and Meta data modeling practices.
- Experience generating physical data models and the associated DDL from logical data models.
- Experience developing data models for operational, transactional, and operational reporting, including the development of or interfacing with data analysis, data mapping,
and data rationalization artifacts.
- Experience enforcing data modeling standards and procedures.
- Knowledge of web technologies, application programming languages, OLTP/OLAP technologies, data strategy disciplines, relational databases, data warehouse development and Big Data solutions.
- Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals
Skills :
Must Know :
- Core big-data concepts
- Spark - PySpark/Scala
- Data integration tool like Pentaho, Nifi, SSIS, etc (at least 1)
- Handling of various file formats
- Cloud platform - AWS/Azure/GCP
- Orchestration tool - Airflow








