Data Research Associate - LinkedIn Expert

Experience Level: Intern

Job Description:

As a Customer Support Intern, you will be responsible for supporting users, addressing their queries, and contributing to the overall customer satisfaction. This is a hands-on opportunity to learn and grow in a fast-paced environment, focusing on developing your skills in customer service and support strategies.

Key Responsibilities:

Issue Resolution:

• Assist in responding to customer queries and concerns via email, chat, or phone.
• Escalate complex issues to senior team members and follow up until resolved.
• Document customer issues and solutions for reference.

Customer Assistance:

• Guide users on how to navigate the platform and resolve common issues.
• Provide proactive assistance to improve user experience.

Process Improvement Support:

• Assist in identifying common issues and suggest solutions to enhance support processes.
• Collect feedback from customers and share it with relevant teams.

Team Collaboration:

• Work closely with the customer support team to learn best practices and improve response quality.
• Coordinate with other departments to resolve cross-functional customer issues.

Qualifications:

• Pursuing or recently completed a Bachelor's degree in any field (preferred).
• Excellent communication skills (written and verbal).
• A positive attitude with a customer-first approach.
• Basic understanding of social media platforms and online communities is a plus.
• Strong problem-solving skills and the ability to work collaboratively.
• Willingness to learn and adapt to a dynamic work environment.

Perks of the Internship:

• Hands-on experience in customer service in the social media industry.
• Opportunity to work in a collaborative and innovative work environment.
• Certificate of Internship upon completion.
• Mentorship from experienced professionals.
• Opportunity for a full-time role based on performance.

How to Apply:

If you're eager to kickstart your career in customer support, submit your resume and a brief cover letter to mail I'd outlining your interest and how you can contribute to our team.

We look forward to welcoming a motivated and enthusiastic intern to our team!

Thanks & Regards,

Yamini Patel

HR Manager

Job Description for Frontend Developer:

We are looking for a Frontend Developer, who is motivated to combine the art of design with the art of programming to make User experience intuitive. Responsibilities will include implementing visual elements

and behaviors with user interactions. You will work with both front-end and back-end developers to build user-friendly applications. You will also be bridging the gap between the visual elements and the server-side infrastructure, taking an active role on both sides and defining how the application looks and functions.

Experience: 5 to 8 years

Location: 410-413, Aaron Spectra, Behind Rajpath Club, Bodakdev, S.G. Highway, Ahmedabad-380054

Job Requirements

• Extensive hands-on experience with JavaScript and React, Angular or Vue framework for a minimum of 5 years.

• In-depth understanding of fundamental web technologies such as HTTP, HTML, CSS, AJAX, REST and JSON.

• Strong knowledge of HTML5 CSS3 Flexbox, CSS Grid, and Responsive Design.

• Proficiency in consuming RESTful services.

• Good experience writing Unit Tests.

• Good knowledge of code versioning using Git.

• Excellent communication skills, including written and verbal English.

Job Roles and Responsibilities

• Build cross-platform apps using Javascript, Javascript framework and other fit-for-purpose technologies.

• Create responsive web interfaces with HTML, CSS3 Bootstrap.

• Convert wireframes and mock-ups into fully functioning user interfaces.

• Take part in creating the web architecture for new projects.

• Use Docker containers to isolate and scale processes on demand.

• Offer support, especially when teammates are faced with new challenges.

• Provide guidance and advice on best practices and future technologies.

• Optimize applications for maximum speed

• Design mobile-based features

• Collaborate with back-end developers and web designers to improve usability

• Participate in code reviews.

Why Work at Staunchsys:

● Family Health Cover

● Personal Accident Insurance

● Constant Learning

● Competitive Pay

● Flexible work timings

● 5 days working

● Leave encashment facility for unveiled PL as well SL

● Complimentary Lunch

- Ability to effectively handle Enterprise sales and manage relationships at various levels with the clients and develop long-term relationships.
- Gather Leads and build a sales pipeline.
- Business Development in Design Studio
- Lead Generation

Required Candidate profile

1-3 years of experience in Business Development/similar roles.
Fresh MBA candidates with relevant skills can also apply
Must be well versed with MS-Office
Prior experience in IT solutions/services

Touted as “Uber” for trucks, Trucknetic is a tech-first startup redefining the freight industry by creating a unique marketplace connecting shippers and carriers for the front and return loads using AI-ML, analytics, and associated technologies.

Trucknetic aims to play a crucial role in India's booming logistics sector and become the first platform in the world to provide any truck for any commodity from anywhere in the country.

Our company is looking for an experienced Accounting Manager to oversee our accounting department. The Accounting Manager will be responsible for monitoring general accounting practices, budgeting, developing internal accounting controls, tracking high-volume corporate client accounts and building a strong financial team. The successful candidate for this position will report directly to our CEO and play an instrumental role in the financial future of the company.

What You'll Be Doing

• Manage day-to-day accounting operations and ensure that there is a redundant process backup in place for every critical operation
• Create new internal accounting corporate policies and maintain existing policies
• Monitor emerging technology to determine ways to automate the accounting process without sacrificing accuracy and accountability
• Develop monthly and quarterly accounting reports for the management and executive teams
• Implement and monitor the month, quarter and year-end closeout accounting schedules
• Oversee and manage the general accounting functions, including, but not limited to accounts payable, accounts receivable, general ledger, and taxes
• Help with quarterly and year-end financial audit activities and the annual corporate financial controls audit
• Assess current practices and procedures, and make recommendations for improvements

Requirements

• Bachelor’s Degree in Accounting or Finance required (Master’s degree preferred)
• 3+ years experience in an accounting leadership role
• Exceptional leadership abilities
• Strong budgeting, financial forecasting and financial analysis skills required
• Proven ability to juggle multiple account management projects at a time, while maintaining sharp attention to detail

What Is On Offer

• Work with a young & passionate team to excel and make an impact.
• Work directly with the founder.
• Attractive ESOPS.
• A super passionate team with deep conviction which has stayed together during covid.
• Very high ownership role in a fast-paced environment.
• Great Culture -> No hierarchy/politics nonsense guaranteed!

Business Analyst (Data & Analytics) Remote Work, US shift

General Scope and Summary

The Data and Analytics Team sits in the Digital and Enterprise Capabilities Group and is responsible for driving the strategy, implementation and delivery of Data, Analytics and Automation capabilities across Enterprise. This global team will deliver “Next-Gen Value” by establishing core Data and Analytics capabilities needed to effectively manage and exploit Data as an Enterprise Asset. The Business Analyst will be responsible for documenting business processes, use cases and gathering requirements which will enable teams  answer strategic and business questions through data.

Roles and Responsibilities

Night Shift - Remote Work

Document business processes this includes workflow diagrams, entity relationship diagrams and other supporting documentation

Design new workflows based upon business requirements

Interact with development resources to create the technical requirements

Act as quality assurance liaison prior to release of new data analysis or applications

Write technical documentation for our applications to be provided to customer success for turning into user friendly documentation  

Perform Data Exploration and Analysis

Build simple reports/dashboards

Interact with external stakeholders to address technical issues.

Experience, Education and Specialised Knowledge and Skills

Must thrive working in a fast-paced, innovative environment while remaining flexible, proactive, resourceful, and efficient.

Strong interpersonal skills, ability to understand stakeholder pain points, ability to analyze complex issues to develop relevant and realistic solutions and recommendations.

Demonstrated ability to translate strategy into action; excellent technical skills and an ability to communicate complex issues in a simple way and to orchestrate solutions to resolve issues and mitigate risks.

Basic Qualifications

4+ years’ experience in business analytics, data analysis, data management, or related technologies.

Data Related certifications and/or degrees preferred.

Deep technical and domain knowledge related to Analytics, data exploration, business analysis Experience with a variety of business intelligence and analytical software package (e.g., Tableau, Power BI etc.).

Experience with Gathering requirements, creating workflows on data projects

Exposure, and knowledge of primary cloud provider offerings and architectures (AWS, Azure, GCP).

Knowledge of agile methods and delivery techniques.

Experience with Data exploration, profiling like SQL

Experience in working with cross functional teams.

Ability to deliver in fast paced environment with attention to detail and

execution focus

Exceptional verbal and written communication

Ability to work individually, within a cross-functional team, as well as with external partners and vendors

Preferred Qualification

Awareness of regulatory impacts to data in the Live Sciences business,

such as GxP.

Ability to deliver fast, show quick wins and have the big picture in mind

Ability to work with external vendors and hold them accountable

Ability to juggle multiple priorities and make quick decisions

• Manage security tools(Snyk, Fossa, Trivy).
• Manage vulnerability programs. Triage vulnerabilities, assign priorities and owners, follow up on the mitigation 
• Monitor license violations.  
• Perform Security Assessments and Threat Modeling
• Security Incident Response. Be part of a security-on-call team in PagerDuty, act as incident commander, perform Root Cause Analysis.
• Drive security initiatives(Web Application Security, Least-privilege principle, Secrets Management, Key Management, PKI and Certificate Management, Anti-fraud protection).
• Given our fast pace and startup nature, things change over time and your job responsibilities will too.

You'll need:

• Web application security experience.
• Familiarity with a modern SaaS infrastructure and application development.
• Manual and/or automated Penetration Testing (white box, black box & grey box).
• Good understanding of security risk(OWASP Top 10).
• Pen-testing: burp suite/ postman, etc.
• Vulnerability management: Snyk, fossa, NexusIQ, WhiteHat security, aqua security, GitHub security, etc.
• Familiarity with major security protocols.
• Collaboration, transparency, and integrity.
• BS/MS degree; 5+ years of relevant experience.

Nice to have:

• Experience in scripting languages(BASH, Python, JS, etc).
• CEH, CSSLP, GIAC, OSCP, OSCE, or other related industry-recognized certifications.
•  

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology