Retail Analyst and Communication (Apparel Retail)
Data AnalyticsJob Title: Manager - Retail Analyst and Communication (Apparel Retail)
Experience: 6-8 years in Retail Business Management Information System
Location: Gurgaon
Salary: Negotiable
Industry: Retail/ Apparel/ Fashion
This role is responsible for managing the end-to-end Retail Business Management Information System (MIS). It involves handling internal communication channels, ensuring adherence to reporting processes and implementing weekly actions based on data insights.
Key Deliverables (Essential functions & Responsibilities of the Job):
· Own and manage all aspects of the MIS and data systems, including report and dashboard generation.
· Coordinate with cross-functional teams for data collection, reporting, and timely store projects.
· Lead monthly, quarterly, and annual target setting for sales and key retail performance metrics.
· Monitor weekly, monthly, and seasonal performance, and circulate actionable insights and reports to stores and leadership.
· Deliver weekly retail communications, ensuring clarity on actions required.
· Support ad hoc data requirements with advanced Excel capabilities.
· Work with tools like SAP, OneDrive, Tableau, Power BI, etc.
Key Skills Required:
· Strong multitasking and time management skills.
· Self-driven, organized, and goal-oriented.
· Analytical mindset with the ability to convert data into actionable insights.
· Proficiency in Microsoft Office Suite, particularly Excel; familiarity with data visualization tools preferred.
mail updated resume with current salary-
email: etalenthire[at]gmail[dot]com
satish: 88 O2 74 97 43
website: www.glansolutions.com
Shubham Vishwakarma
Full Stack Developer - Averlon
About Glan management Consultancy
About
Company social profiles
Similar jobs
Role & Responsibilities:
We are seeking an experienced Performance Marketing Manager to lead paid acquisition and growth initiatives across digital channels. This role owns strategy, budget, team execution, and ROI, working closely with leadership, sales, and product teams to drive predictable and scalable revenue.
Strategy & Growth Ownership:
- Define and execute the overall performance marketing strategy aligned with business and revenue goals
- Own acquisition targets, CAC, ROAS, CPL, and pipeline contribution
- Identify new growth channels, audience segments, and scaling opportunities
Paid Media Leadership:
- Lead and optimize high-budget campaigns across Google Ads, Meta, LinkedIn, YouTube, and programmatic platforms
- Oversee full-funnel campaigns (awareness → consideration → conversion → remarketing)
- Drive continuous experimentation through A/B testing and growth sprints
Team & Stakeholder Management:
- Manage and mentor performance marketers, media buyers, and agencies
- Collaborate with Sales, Design, Content, Product, and Tech teams
- Present performance insights and recommendations to leadership
Analytics, Attribution & Reporting:
- Own analytics setup including GA4, GTM, Pixels, CRM integrations
- Ensure accurate attribution, lead quality tracking, and funnel visibility
- Deliver weekly/monthly dashboards with insights, learnings, and forecasts
Conversion & Funnel Optimization:
- Improve landing page performance, lead quality, and conversion rates
- Partner with UX, content, and tech teams to enhance user journeys
- Align marketing outputs with sales conversion and closure metrics
Ideal Candidate:
- Strong performance marketer profile
- Must have 4+ years of experience in performance marketing
- Must have atleast 1+ years of experience in a managerial role
- Must have strong hands-on expertise in any of Google Ads, Meta Ads, LinkedIn Ads
- Must have proven experience managing large monthly ad budgets
- Must have an understanding of attribution models, funnels, and CRM-based tracking
- Must be proficient in advanced Excel/Google Sheets
- Product companies (Fintech, Startups preferred)
PythonKey Responsibilities
• Design and architect robust, scalable, and secure software solutions.
• Providing technical advice by evaluating new technologies and products to determine feasibility and desirability of the current business environment and to detect critical deficiencies and recommend
solutions.
• Supervising and reviewing technology diagnosis and assessment activities.
• Working with the project managers to define the scope and cost estimation.
• Collaborate closely with product managers, developers, and stakeholders to align technical solutions with business objectives.
• Provide leadership and mentorship to the development team, fostering a culture of innovation and excellence.
• Evaluate and recommend tools, technologies, and frameworks to optimize product performance and development.
• Oversee the end-to-end technical implementation of projects, ensuring high-quality deliverables within defined timelines.
• Establish the best practices for software development, deployment, and maintenance.
• Stay updated on emerging trends in software architecture and maritime technology to integrate industry best practices.
Required Skills and Qualifications
• Bachelor’s or master’s degree in computer science, Engineering, or a related field.
• Proven experience (8+ years) in software architecture and design with a focus on Python
• Strong proficiency in web-based application development and cloud computing technologies.
• Expertise in modern architecture frameworks, microservices, and RESTful API design.
• Excellent communication and interpersonal skills, with the ability to convey technical concepts to
non-technical stakeholders.
• Strong problem-solving skills and a proactive approach to addressing challenges.
Data Science
Machine Learning (ML)RESPONSIBILITIES:
• You will be involved in directly driving application of machine learning and AI to solve various product and business problems including ML model lifecycle management with ideation, experimentation, implementation, and maintenance.
• Your responsibilities will include enabling the team in moving forward with ML/AI solutions to optimise various components across our music streaming platforms.
• Your work would be impacting millions of users the way they consume music and podcasts, it would involve solving cold start problems, understanding user personas, optimising ranking and improving recommendations for serving relevant content to users.
• We are looking for a seasoned engineer to orchestrate our recommendations and discovery projects and also be involved in tech management within the team.
• The team of talented, passionate people in which you’ll work will include ML engineers and data scientists.
• You’ll be reporting directly to the head of the engineering and will be
instrumental in discussing and explaining the progress to top management and other stake holders.
• You’ll be expected to have regular conversations with product leads and other engineering leads to understand the requirements, and also similar and more frequent conversation with your own team.
REQUIREMENTS:
• A machine learning software engineer with a passion for working on exciting, user impacting product and business problems
• Stay updated with latest research in machine learning esp. recommender systems and audio signals
• Have taken scalable ML services to production, maintained and managed their lifecycle
• Good understanding of foundational mathematics associated with machine learning such as statistics, linear algebra, optimization, probabilistic models
Minimum Qualifications
• 13+ years of industry experience doing applied machine learning
• 5+ years of experience in tech team management
• Fluent in one or more object oriented languages like Python, C++, Java
• Knowledgeable about core CS concepts such as common data structures an algorithms
• Comfortable conducting design and code reviews
• Comfortable in formalising a product or business problem as a ML problem
• Master’s or PhD degree in Computer Science, Mathematics or related field
• Industry experience with large scale recommendation and ranking systems
• Experience in managing team of 10-15 engineers
• Hands on experience with Spark, Hive, Flask, Tensorflow, XGBoost, Airflow
We are looking for a Teradata developer for one of our premium clients, Kindly contact me if interested
Kubernetes
Jenkins
Amazon Web Services (AWS)● Manage AWS services and day to day cloud operations.
● Work closely with the development and QA team to make the deployment process
smooth and devise new tools and technologies in order to achieve automation of most
of the components.
● Strengthen the infrastructure in terms of Reliability (configuring HA etc.), Security (cloud
network management, VPC, etc.) and Scalability (configuring clusters, load balancers,
etc.)
● Expert level understanding of DB replication, Sharding (mySQL DB Systems), HA
clusters, Failovers and recovery mechanisms.
● Build and maintain CI-CD (continuous integration/deployment) workflows.
● Having an expert knowledge on AWS EC2, S3, RDS, Cloudfront and other AWS offered
services and products.
● Installation and management of software systems in order to support the development
team e.g. DB installation and administration, web servers, caching and other such
systems.
Requirements:
● B. Tech or Bachelor's in a related field.
● 2-5 years of hands-on experience with AWS cloud services such as EC2, ECS,
Cloudwatch, SQS, S3, CloudFront, route53.
● Experience with setting up CI-CD pipelines and successfully running large scale
systems.
● Experience with source control systems (SVN, GIT etc), Deployment and build
automation tools like Jenkins, Bamboo, Ansible etc.
● Good experience and understanding of Linux/Unix based systems and hands-on
experience working with them with respect to networking, security, administration.
● Atleast 1-2 years of experience with shell/python/perl scripting; having experience with
Bash scripting is an added advantage.
● Experience with automation tasks like, automated backups, configuring fail overs,
automating deployment related process is a must have.
● Good to have knowledge of setting up the ELK stack; Infrastructure as a code services
like Terraform; working and automating processes with AWS SDK/CLI tools with scripts
NodeJS (Node.js)
MongoDB
Express
JavaProfessional Requirements:
- 2-8 Years professional development experience.
- Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience.
- Good understanding of data structures and algorithms.
- Good understanding of high level and low-level design of distributed systems.
- Experience coding in any one of the following Java or Nodejs.
- Experience building highly available distributed systems on cloud infrastructure will be plus.
- Exposure to architectural pattern of a large, high-scale web application.
Requirement/responsibilities: To take a project from scoping requirements through launch of the project. Ownership of product/feature end-to-end for all phases from the development to the production. Ensuring the developed features are scalable and highly available with no quality concerns. Work closely with senior engineers for refining the and implementation. Management and execution against project plans and delivery commitments. Participate in design and code reviews.
Compensation: Competitive as per market standards; ESOPs based on performance
Data ScienceMachine Learning (ML)- Architecting end-to-end prediction pipelines and managing them
- Scoping projects and mentoring 2-4 people
- Owning parts of the AI and data infrastructure of the organization
- Develop state-of-the-art deep learning/classical models
- Continuously learn new skills and technologies and implement them when relevant
- Contribute to the community through open-source, blogs, etc.
- Take a number of high-quality decisions about infrastructure, pipelines, and internal tooling.
What are we looking for
- Deep understanding of core concepts
- Broader knowledge of different types of problem statements and approaches
- Great hold on Python and the standard library
- Knowledge of industry-standard tools like scikit-learn, TensorFlow/PyTorch, etc.
- Experience with at least one among Computer Vision, Forecasting, NLP, or Recommendation
Systems a must
- A get shit done attitude
- A research mindset and a creative caliber to utilize previous work to your advantage.
- A helping/mentoring first approach towards work
Responsible for end to end mapping and quality control of the projects
Responsible for Design evaluation of mobile phones from standpoint of hardware, schematic and PCB
layout.
Responsible for database management program for design evaluation from standpoint of HW and MD
design review
Ensure device quality and manufacturability are built into the development process to ensure good
process robustness from launch by incorporating DFMEA & DFM.
Conduct internal & external benchmarking of products and implementing QCD ideas.
Analysis of warranty failures on both process & design level by using SPC & Design guidelines (DFMEA
& DFM) and categorized into SMT process & design failures.
Project execution from KICK OFF phase to Mass Production by evaluating DFMEA, parts quality &
process validation.
Develop & execute test plans that address voice of customer (VOC) such as Reliability, Regression &
Functional testing for HW(PCB validation) & Mechanical at both part & product level.
Estimation of project pricing by bifurcation of key parts PCBA, HW components and mechanical
structure
Draft documents for process flow, design evaluation - DFMEA, TTM
Performance evaluation of DUT by Life cycle test, Temperature & humidity mapping, , short circuit
test, breakdown test, cell balancing, BMS parameter verification, self-discharge test, data sheet
verification.
Validation of HW key parts as Chipset (SoC), DRAM, LCD, TP and Speaker.
Responsible for planning of complete hardware and reliability testing of handset i.e. current
consumption, basic functioning and battery charging.
Responsible for benchmark hardware testing and comparison with DUT.
Responsible for debugging, simulation, and analyzing hardware quality issues.
Understanding of HW architecture, PCB schematic and layout.
Review hardware stack for process feasibility and market failure.
Performing risk assessment to cover all lesson learnt of market issues.
Understanding of RF instrument functioning & testing of hardware for calls functioning.
Create detailed, comprehensive and well-structured test plans and test cases.
Estimate, prioritized, plan and coordinate testing activities.
What you will do:
- Building exciting and high impact features for the small business community such as inventory management, billing, accounting, tax filing
- Having high user empathy, looking at the entire flow, taking care of all the edge cases and is creative in problem solving
- A customer-first approach - you must always think customer first and be absolutely unwilling to make compromises on customer experience.
- Past experience in creating products for small and medium businesses will be preferred
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon