2 Opening(s)
1.0 Year(s) To 4.0 Year(s)
6.00 LPA TO 8.00 LPA
Objective:
The Supply Associate manages and supports all activities pertaining to the Category & Supply function including sourcing, price negotiations and seller/distributor relationship management.
Roles & Responsibilities:
Develop materials category metrics and supply chain
Responsible for seller activation, sale and gross margins
Responsible for closure of orders by coordinating with sales team and plants
Build & maintain strong, long-lasting seller relationships
Co-own ...
1 Opening(s)
4.0 Year(s) To 7.0 Year(s)
8.50 LPA TO 9.00 LPA
Role Responsibilities:
Researching, evaluating & developing potential vendors and suppliers for specific categories (MRO & Pumps & Motors)
Supplier side Business Development across different product categories in Manufacturing space
Adding on new vendors and categories proactively by constantly improving Quality, Cost and Delivery terms with suppliers across India
Requesting quotes and comparing prices for maximum ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
15.00 LPA TO 18.00 LPA
Job Description
Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field.
Proven experience as a Data Engineer, Software Developer, ETL Developer or similar.
Proficient in Python, R, and SQL
Experience in Enterprise Data Warehousing, Data Store on Azure, Data Architecture for Enterprise cloud
Experience with SAP HANA Data Warehouse and SAP Analytics Cloud advantageous
Experience in Azure Data Factory (ADF), Data bricks and Spark creating multiple pipelines and activities
Using both Azure and On-Prem data stores for full and incremental data loads into a Cloud DW Should have experience working with Azure Data Factory V2.
Experience managing Azure Data Lakes and Data Lake Analytics and an understanding of how to integrate with other Azure Services
Experience with Azure SQL DW and other Azure Services pricing models.Understanding of when to use Azure SQL DW vs Azure SQL Server/DB and loading patterns to move data from blob or Azure Data Lake into Azure SQL DW
Understanding of the Overall solution design of how Power BI and Azure Analysis Services fits into Azure Architecture
Experience in Design EDW Data Models and make optimization/improvement recommendations
Experience in Power BI, Tableau, SAP Analytics Cloud
Excellent analytical and problem-solving skills.
Capacity to manage a pipeline of duties with minimal supervision. (Multi-tasker)
Complex problem-solving abilities and advanced leadership/communication skills.
Experience developing and maintaining standards, guidance and technical documentation
Excellent written and verbal communication abilities.
Excellent Strategic thinking capability.
Problem-solving skills — Identifying data problems and create programs/code to solve these problems.
Research skills — This job often includes combing through data and finding information, that means research mindset (Essential)
Takes full ownership and accountability on work tasks.
2 Opening(s)
1.0 Year(s) To 3.0 Year(s)
5.00 LPA TO 8.00 LPA
Objective:
The Company is looking for a high performing Customer Success Associates to help meet sales and revenue growth targets with a strong orientation in digital and metric driven analytical
approach.
He/she will be responsible for managing accounts, repeat order and increase wallet share, directly interacting with MSMEs to sharpen understanding of their requirements & buying behavior, enriching client profiles for targeted selling. Relationships building, understanding and
keeping abreast of market dynamics and effective feedback loop are important aspects.
Roles & Responsibilities:
• Achieve repeat sales and wallet share targets
• Understand, categorize and analyze reasons for client drops and increase active to
on-boarded client ratio
• Key focus on customers who have churned and how to win them back
• Market intelligence inputs for pricing and activation
• Design and execute plan for outbound calling for sales conversion
• Enrich and maintain customer profile and update status in CRM
• Mine clients for referrals
• Work hand-in-hand with customer acquisition team for smooth transition of clients with
minimal drop outs
QUALIFICATIONS & COMPETENCE REQUIRED:
• BE/B. Tech/Bachelor`s Degree required from a premier institute. Selective very strong
candidates with relevant experience will be favored
• 1+ years of key account management/sales experience in B2B segment will be
preferred (pre or Post-Graduation)
• Experience meeting customer needs, building customer relationships and knack for
closing sales
• Strong communication & interpersonal skills
• Self-starter and driven
• Language Skills: fluent in English. Knowing Tamil/Marathi an added advantage
• Knowledge of sales principles and practices.
• Customer service Acumen.
• Desire to exceed growth, and working in a fast paced environment.
8 Opening(s)
2.0 Year(s) To 7.0 Year(s)
8.00 LPA TO 10.00 LPA
The company is looking for a high performing Field Sales Associate to help meet customer acquisition, onboarding and revenue growth targets with a strong orientation in digital and metric driven analytical approach.
ROLES & RESPONSIBILITIES:
Monthly target achievement in terms of number of customers acquired and converted (Achieve new customer acquisition (Registration ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
6.00 LPA TO 8.00 LPA
Key Responsibilities :
• Sales strategy: Conceptualizing Go-To-Market initiatives for our key services (Lead generation, Data services, Digital Publishing, etc.) including determining the right Target market/segments, Differentiation, positioning and Messaging.
• Prospecting: Reaching out to a defined set of Target accounts (predominantly new Logo hunting) within a defined period of time across ...
1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
12.00 LPA TO 18.00 LPA
The company is looking for a high performing Customer Acquisition Manager (Steel Sales ) to help meet customer acquisition, onboarding and revenue growth targets with a strong orientation in digital and metric driven analytical approach.
He/She will be responsible for leading and managing a team of Field Sales associates to manage ...
2 Opening(s)
2.0 Year(s) To 5.0 Year(s)
16.00 LPA TO 22.00 LPA
MSME is looking for a high performing Customer Success Manager to help meet sales and revenue growth targets with a strong orientation in digital and metric driven analytical approach.
He/she will be responsible for managing accounts, repeat order and increase wallet share, directly interacting with MSMEs to sharpen understanding of their ...
4 Opening(s)
2.0 Year(s) To 4.0 Year(s)
6.00 LPA TO 10.00 LPA
The company is looking for a high performing Field Sales Person to help meet customer acquisition, onboarding and revenue growth targets with a strong orientation in digital and metric driven analytical approach.
Roles & Responsibilities:
Monthly target achievement in terms of number of customers acquired and converted (Achieve new customer acquisition (Registration ...
1 Opening(s)
4.0 Year(s) To 6.0 Year(s)
0.00 LPA TO 25.00 LPA
Role Objective
To maximize sales and profit of the categories and achieving sales budgets while remaining competitive in the marketplace. This role demands the candidate to be a go-getter who has a knack for problem-solving and growth hacking.
Role Responsibilities
Driving overall health of the Category – Financial, operational
Oversee and lead the P&L for online (e-commerce) business for middle east region
Analyzing GMV growth, marketing spends and gross margin on sale
Managing and planning assortment/categories and tie up with brands to develop the catalog
Driving Top line growth MoM in line with the targets
Driving Operational metrics through Vendor Management team.
Generating bottom-line through Ad sales – Key suppliers + Brands (working with central Ad sales team)
Brand and Key Supplier Strategic partnerships and Relations
Work Experience
4-6 years of work experience in similar profile
Experience in onboarding and managing vendors
Knowledge/ Skills
Excellent communication skills
High level of ownership, willingness to set up things from scratch
High proficiency in comprehending and building analysis over large and complex data sets