Inside Sales Specialist

Job Title: Finance and Accounts manager (AR, Financial Reporting)- CA Qualified

Experience: 5-8 years in Accounts Receivable and Financial Reporting

Location: Gurgaon

Salary: Negotiable

Industry: Retail/ Apparel/ Fashion

Qualification: CA Qualified

This role involves revenue accounting and receivables processes for the business, ensuring accurate revenue accounting and in line with accounting standards and internal policies.

Key Deliverables (Essential Functions & Responsibilities)

Accounts Receivable Management

·        Oversee revenue accounting and reconciliation for E-commerce, Partner, and Store sales.

·        Ensure robust internal financial controls on accounts receivables, with a focus on improving collection efficiency.

·        Manage end-to-end accounts receivable operations PAN India, including team supervision and handling escalations.

·        Negotiate with banks for favorable merchant transaction rates and secure cash pickup services.

·        Ensure Partner/Marketplace reconciliations are current and escalate discrepancies in a timely manner.

Financial Reporting & Controls

·        Review and strengthen internal control systems to monitor cash and card collections, minimizing variances and discrepancies.

·        Conduct regular evaluations of PAN India financial transactions to ensure alignment with internal policies and procedures.

Audit & Governance

·        Ensure timely and accurate completion of internal and statutory audits related to revenue accounting and accounts receivable.

·        Maintain the security and confidentiality of financial documentation and records.

Ad Hoc Responsibilities

·        Manage e-voucher and gift card processes, as required.

·        Ensure adherence to revenue accounting standards for any new sales channels introduced, including proper execution of UAT for system changes.

·        Collaborate with the tax team to implement tax notifications and ensure compliance with statutory requirements.

Key Requirements

·        Strong domain expertise in Accounts Receivable and Financial Reporting.

·        Proficiency in SAP, MS Office, and reconciliation tools.

·        Excellent analytical, problem-solving, and team leadership skills.

mail updated resume with current salary-

email: etalenthire[at]gmail[dot]com

satish: 88 O2 74 97 43

website: www.glansolutions.com

Carsome’s Data Department is on the lookout for a Data Scientist/Senior Data Scientist who has a strong passion in building data powered products.

Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform. 

You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.

Job Descriptions

• Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
• Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing. 
• Identify, prioritize, and design testing opportunities that will inform algorithm enhancements. 
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
• Unlock insights by analyzing large amounts of complex website traffic and transactional data. 
• Implement analytical models into production by collaborating with data analytics engineers.

Technical Requirements

• Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
• Machine Learning / Data Science Certification

Experience & Education 

• Bachelor’s in Engineering / Master’s in Data Science  / Postgraduate Certificate in Data Science. 

• Must have 6+ years of experience in C/C++ programming language.
• Knowledge of Go programming language and Python programming language is a big plus.
• Strong background in L4-L7 Internet Protocols TCP, HTTP, HTTP2, GRPC and HTTPS/SSL/TLS.
• Background in Internet security related products such as Web Application Firewalls, API Security Gateways, Reverse Proxies and Forward Proxies
• Proven knowledge of Linux kernel internals (process scheduler, memory management, etc.)
• Experience with eBPF is a plus.
• Hands-on experience in cloud architectures (SaaS, PaaS, IaaS, distributed systems) with continuous delivery
• Familiar with containerization solutions like Docker/Kubernetes etc.
• Familiar with serverless technologies such as AWS Lambda.
• Exposure to machine learning technologies and distributed systems is a plus
• B.E/B.Tech/MS degree in Computer Science, or equivalent

Key Skills:

• Must have good Communication.
• Individual contributor having good min 1-year hands-on experience on job portals & knowledge of social media hiring.
• Should be able to handle end to the end hiring process.
• Good with excel, reports & data management.
• Must have a proven track record hiring in the e-learning/publishing domain will be a plus.
• Should be presentable, thoughtful & have an understanding of the professional work environment.
• Solid ability to conduct different types of interviews (structured, competency-based, stress etc)
• Hands-on experience with various selection processes (video interviewing, phone interviewing, reference check etc)
• Ability to organize skills assessment centres (in tray activities, work samples, psychometric and IQ/EQ tests, etc)
• Familiarity with HR databases, Applicant Tracking Systems (ATS) and Candidate Management Systems (CMS)
• Hands-on experience with recruiting software, as well as Human Resource Information Systems (HRIS) or Human Resource Management Systems (HRMS)
• Excellent communication and interpersonal skills
• Strong decision-making skills

Responsibilities

• Develop and update job descriptions and job specifications.
• Perform job and task analysis to document job requirements and objectives
• Prepare recruitment materials and post jobs to appropriate job board/newspapers/colleges etc
• Source and recruit candidates by using databases, social media etc
• Screen candidates resume and job applications
• Conduct interviews using various reliable recruiting and selection tools/methods to filter candidates within schedule
• Assess applicants’ relevant knowledge, skills, soft skills, experience and aptitudes
• Onboard new employees in order to become fully integrated
• Monitor and apply HR recruiting best practices
• Provide analytical and well documented recruiting reports to the rest of the team
• Act as a point of contact and build influential candidate relationships during the selection process
• Promote the company’s reputation as “Great place to work”

• Conduct market research to identify selling possibilities and evaluate customer needs
• Actively seek out new sales opportunities
• Set up meetings with potential clients and listen to their concerns
• Create frequent reviews and reports with sales and financial data
• Ensure the availability of stock for sales and demonstrations
• Participate on behalf of the company in exhibitions or conferences
• Negotiate/close deals and handle complaints or objections
• Collaborate with team members to achieve better results
• Gather feedback from customers or prospects and share it with internal teams

Requirements

• Proven experience as a Sales Executive or relevant role
• Proficiency in English
• Excellent knowledge of MS Office
• Thorough understanding of marketing and negotiating techniques
• Fast learner and passion for sales
• Self-motivated with a results-driven approach
• Aptitude in delivering attractive presentations
• Graduate from any stream with relevant experience is preferred