Shubham Vishwakarma
Full Stack Developer - Averlon
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Store Manager – Apparel Retail
Job Summary:
We are looking for an experienced and customer-focused Store Manager to lead day-to-day retail operations in our apparel store. The role involves driving sales, managing store staff, maintaining visual merchandising standards, and ensuring excellent customer experience while achieving business targets.
Key Responsibilities:
Manage complete store operations including sales, staff, inventory, and customer service
Drive store sales and achieve monthly/quarterly targets
Recruit, train, motivate, and manage store team performance
Ensure high standards of customer service and handle customer escalations
Maintain visual merchandising as per brand guidelines
Monitor stock levels, minimize shrinkage, and ensure accurate inventory control
Analyze sales reports and implement action plans for improvement
Ensure compliance with company policies, SOPs, and safety standards
Key Skills & Competencies:
Strong leadership and team management skills
Excellent communication and customer-handling abilities
Sales-driven mindset with retail analytics knowledge
Visual merchandising and fashion sense
Problem-solving and decision-making skills
Qualifications & Experience:
Graduate in any discipline (MBA Retail preferred)
3–7 years of experience in apparel/fashion retail, with at least 1–2 years as Store Manager
We are looking for credit analysts who can help them perform threshold analysis and impact calculations to streamline their credit underwriting process. Hence, they are looking for people who have experience in doing similar or related work. Since this is an urgent requirement, your quick help is requested in filling this role.
Attaching sample profile as well.
Manager and SM - 25-50LPA
Skills: Credit analyst + SAS
Goot to have: Credit underwriting, EWS (Early warning signal),EBC regulations, IFRS9.
Level: SM or M ( 4+ years)
NP: Max 30 days.
Budget: max 45 LPA.
Loc: Pan India
Responsibilities:
- Credit Underwriting, credit appraisal process
- EWS analysis, IFRS9 staging, credit analysis, threshold analysis
- Querying and coding in SAS and SQL
- ECB regulations
Job Description
Counseling the students over the study abroad options & training products of Jamboree.
Being a part of the Inside sales team, the incumbent will be required to ensure maximum on-spot closures from the prospective leads.
Making outbound calls on all the prospective leads generated through various sources.
Meeting weekly/monthly/annual sales targets.
Regular follow-ups with students and parents.
Timely updation of MIS and other dashboards
Desired Candidate Profile
Should have experience working in Education sector in a sales oriented profile where s/he was responsible for admissions/enrollment targets.
Should be comfortable working in a target-oriented role.
Willing to learn, sales acumen, good with numbers.
Self-starter, self -motivated.
With the advent of remote workplaces, it is imperative to migrate the learning and development function to work remotely and our client is a SAAS product that helps companies to train their employees using digital tools wherever they are. They offer a combination of a cloud based learning management system along with a vast library of learning content that helps businesses deliver on the main pillars of talent development which include training, engagement, automation and measurement and thus supporting them in growth.
Founded in 2012, our client is headquartered in Mumbai and is founded by a graduate from Boston University. They have raised a total of 30M in funding over 1 round. So far in their journey, they have, approx., 94% customer satisfaction, 1 Lakh+ activities and learning assets and their clientele includes Amazon, Raymond, CARATLANE, etc.
As a Enterprise Salesperson, you will be responsible for prospecting relentlessly to build pipeline and building strong personal relationships with prospects.
What you will do:
- Hiring, training and managing your own sales and business development team
- Delivering sales pitch, demo, presentation and proposal to potential clients
- Creating reliable forecasts and be completely transparent with management on the pipeline status
- Closing new business consistently at or above quota level
- Meeting senior executives and CXOs and building your own network
- Providing the company's training to clients
- Following up regularly with existing clients to ensure they are happy
- Creating case-studies of client success stories
- Building global channel partners
- Investing in colleagues and giving coaching and advice when you see an opportunity for improvement
- Listening to the needs of the market and sharing insights with product and marketing teams
- Making the company the default choice for any enterprise evaluating a learning, engagement and performance automation solution
Desired Candidate Profile
What you need to have:- Experience in selling IT or SaaS solutions
- Strong understanding of the sales funnel
- Comfort working with numbers
- Ability to analyze, calculate and reason a situation effectively
- A sharp eye for detail
- Superior presentation skills
- Ability ot speak and write clearly and correctly
- Ability to manage a large number of prospect situations simultaneously
- Ability to position company products against direct and indirect competitors
- Willingness to travel
- Experience with LMS, B2B, SaaS, IT, cloud, enterprise software, e-learning companies preferred
Job Purpose:
We're seeking a qualified Learning Consultant to sell self development courses of Asian Academy of Film and Television in the field of art.
The Learning Consultant will utilize their skills to close high-quality leads, build a strong relationship with customers, and close deals.
The ideal candidate will be a quick learner with strong negotiating skills and demonstrate the ability to showcase our offerings compellingly.
Scope:
Exceed targets for New Sales, Referrals in an individual contributor role
Working days (subject to change):: 6 working days with 1 day-off (during weekend)
Shifts (subject to change): shift start hour will be after 11am and shift end hour before 10 PM
Qualifications & Experience:
Minimum work experience => 1 year in sales.
Qualification : Any Graduate
Fluency in English and Hindi
Ability and willingness to deliver in a high-pressure environment
Excellent communication, interpersonal, problem solving, presentation, and organizational skills.
Exceptional sales and convincing skills
Comfortable with changing shift timings so that we may serve our customers better
Comfortable with exceeding work timing based on process need.
Working knowledge of Spreadsheets (Excel, Google Sheets )
Immediate joiners are preferred
Amazon Web Services (AWS)
Java
Spring Boot
Requirements:
- Have Strong knowledge of cloud technologies like (AWS/GCP/Azure).
- Strong in any Backend language like Java-Springboot(preferred), Python, ROR, NodeJs, GO etc.
- Have a working experience with any frontend technology.
- Strong system design experience in cloud-native products.
- Understands and knows how to work with GIT.
- Able to develop or implement HLD into LLD and vice versa.
- Strong knowledge of SQL/NoSQL database.
- Strong on DSA.
- Has previously built and delivered end-to-end products preferably with any FinTech startup.
- Someone very motivated and loves taking ownership of building an end-to-end application
Perks:
> Fully-remote
> Flexible work hours
> You could be our first Director/VP of technology
> Founding Team role
> ESOPs
Data Science
R Programming
Python- Python coding skills
- Scikit-learn, pandas, tensorflow/keras experience
- Machine learning: designing ml models and explaining them for regression, classification, dimensionality reduction, anomaly detection etc
- Implementing Machine learning models and pushing it to production
- Creating docker images for ML models, REST API creation in Python
- Additional Skills Compulsory:
- Knowledge and professional experience of text and NLP related projects such as - text classification, text summarization, topic modeling etc
- Additional Skills Compulsory:
- Knowledge and professional experience of vision and deep learning for documents - CNNs, Deep neural networks using tensorflow for Keras for object detection, OCR implementation, document extraction etc
Programming
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Full Stack Developer - Averlon