Inside Sales Executive

Key Responsibilities

Lead Generation & Outreach

·      Contact and develop relationships with potential customers through email marketing, cold calling, and LinkedIn outreach.

·      Execute email campaigns targeting prospects to generate leads and create business opportunities.

·      Mine data and extract information of C-level executives from various online sources and tools.

Sales Process Management

·      Follow up on leads and respond to sales inquiries from existing and potential customers as per guidelines.

·      Assist senior staff in generating and following up on leads.

·      Convince clients, schedule appointments, and manage the sales pipeline.

·      Track sales efforts and monitor results to ensure alignment with targets.

Customer Relationship Management

·      Liaise between customers and the company to provide up-to-date status on service, pricing, and new product releases.

·      Collect customer feedback and conduct market research to inform business strategy and product development.

·      Maintain CRM systems to manage lead generation, track interactions, and store customer information.

Market & Competitor Analysis

·      Stay informed about the latest products, market trends, and competitors to provide insights for business strategy.

·      Increase business opportunities through various routes to market.

Required Skills & Qualifications

·      Strong communication and interpersonal skills.

·      Proficient in email marketing, cold calling, and LinkedIn outreach.

·      Experience in data mining and CRM systems.

·      Ability to prepare detailed reports and commercial proposals.

·      Strong analytical and organizational skills.

·      Ability to work independently and as part of a team.

·      Understanding of market research and customer feedback processes.

Performance Metrics

·      Number of new leads generated.

·      Conversion rate of leads to appointments and sales.

·      Quality and timeliness of proposals and reports.

·      Customer satisfaction and feedback.

·      Sales targets and revenue growth.

We believe in “the power of collaboration”, hence we are on a mission to consolidate the fragmented manufacturing base in the Indian speciality chemicals segment. We are a full-stack supplier of speciality chemicals and intermediates. Reliability, quality and affordability are the three pillars of our core values. Today, we are having a combined manufacturing capacity of ~ 5000 MTPA where over 50 chemicals are getting produced for various end industries i.e., personal care, pharma APIs, polymers, fragrances, agriculture etc. With a presence across diverse speciality chemical value chains and multiple production facilities, we are a one-of-a-kind and highly reliable one-stop-shop supplier to customers across the globe. We have been funded by a global Tier-1 venture capital fund (Lightspeed Venture Partners - $10B+ AUM fund and early investors in Oyo, Byju's, and Udaan) and have several renowned thought leaders and opinion shapers from the chemicals industry as advisors.

Job description: 

1. Lead the Technical and Regulatory documentation for smooth operations. 

2. Responsible for ensuring the accuracy and quality of COA, TDS, MSDS and other related technical documents. 

3. Maintain a real-time database of Products & Suppliers with corresponding technical documents.

4. Mentor and guide the documentation team on writing practices and processes 

5. Bring in strong Chemistry knowledge and support the demand and supply team with suitable inputs on specifications.

Our offering: 

1. A great work environment with massive ownership and growth opportunities 

2. Work closely with the founding and the leadership team on key projects 

3. Opportunity to be on top of industry trends and learn from industry leaders.

4. Compensation: Market standards + ESOPs

Job role:

As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role will involve driving initiatives to optimize for operational excellence and revenue.

Responsibilities:

• Ensure that data flows smoothly from source to destination so that it can be processed
• Utilize strong database skills to work with large, complex data sets to extract insights
• Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
• Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
• Build tools for automating repetitive asks so that bandwidth can be freed for analytics
• Collaborate with program managers and business analysts  to help them come up with actionable, high-impact insights across product lines and functions
• Work closely with top management to prioritize information and analytic needs

Requirements:

• Excel
• Scrapping
• Medium Communication Skill (Spoken and written)
• SaaS industries knowledge
• Add Product
• Check Dodontdo
• Scrapping
• Work on Support Tickets (Resolve customers issue)

Roles and Responsibilities

• Have profound interest in Java technologies.
• Must have accomplished academic projects using Java.
• Understanding of OOD patterns.
• Excellent communication skills written and oral.
• Git or SVN experience/knowledge.
• Proficient in Core Java, JSP, JavaScript, JDBC.
• Knowledge in Frontend technologies ( e.g. Angular, HTML, CSS, Java Script, JSP and JQuery)
• Knowledge in java frameworks - Spring/Spring MVC.
• Knowledge with working with databases MYSQL/SQL.
• Solid understanding of object-oriented principles and programming.
• Familiar with various design and architectural patterns.

Desired Candidate Profile

• Sound knowledge of OOPS concept
• Ability to practice good coding standards in order to enable reusability of code.
• Problem solving & Resilience.
• Timely & Error free Delivery
• Ability to perform R & D with code in order to increase product performance.
• Keen to learn new technologies.
• Self-Motivated Individual.

What We offer:

1. Freedom of Work

• 5 days week
• Flexible Timing.
• No Bond System in any form (Training Agreement, No Blank Cheque Deposit).
• Work from home after Domain and Product Training.

2. Work life Balance

As per the experience of more than 2 decades management of Uffizio always believes that work of software development is creative and requires many efforts hence no developer shall work more than 8 hours a day. So, we prefer 8 hours / day working standard is the normal scenario for software developers.

3.We are open to new ideas

• You can bring new ideas / technologies without any hesitations to the management.
• Once feasibility testing of idea is found okay then company is ready to work on your idea.

4.You will be adding new feather to your crown by getting experience of high-end German Analytics systems development while working with us.

5.WorkShops and Training Activities

6.Compensation

• We don't follow bell curve system.
• We judge people on their capabilities rather than their experience in number of years.
• We offer compensation to our employees based on the values they bring to our organization not based on their tenure.
• We have fair increment system bring values on table and claim your desired increment.

1. Data Steward :

Data Steward will collaborate and work closely within the group software engineering and business division. Data Steward has overall accountability for the group's / Divisions overall data and reporting posture by responsibly managing data assets, data lineage, and data access, supporting sound data analysis. This role requires focus on data strategy, execution, and support for projects, programs, application enhancements, and production data fixes. Makes well-thought-out decisions on complex or ambiguous data issues and establishes the data stewardship and information management strategy and direction for the group. Effectively communicates to individuals at various levels of the technical and business communities. This individual will become part of the corporate Data Quality and Data management/entity resolution team supporting various systems across the board.

Primary Responsibilities:

• Responsible for data quality and data accuracy across all group/division delivery initiatives.
• Responsible for data analysis, data profiling, data modeling, and data mapping capabilities.
• Responsible for reviewing and governing data queries and DML.
• Accountable for the assessment, delivery, quality, accuracy, and tracking of any production data fixes.
• Accountable for the performance, quality, and alignment to requirements for all data query design and development.
• Responsible for defining standards and best practices for data analysis, modeling, and queries.
• Responsible for understanding end-to-end data flows and identifying data dependencies in support of delivery, release, and change management.
• Responsible for the development and maintenance of an enterprise data dictionary that is aligned to data assets and the business glossary for the group responsible for the definition and maintenance of the group's data landscape including overlays with the technology landscape, end-to-end data flow/transformations, and data lineage.
• Responsible for rationalizing the group's reporting posture through the definition and maintenance of a reporting strategy and roadmap.
• Partners with the data governance team to ensure data solutions adhere to the organization’s data principles and guidelines.
• Owns group's data assets including reports, data warehouse, etc.
• Understand customer business use cases and be able to translate them to technical specifications and vision on how to implement a solution.
• Accountable for defining the performance tuning needs for all group data assets and managing the implementation of those requirements within the context of group initiatives as well as steady-state production.
• Partners with others in test data management and masking strategies and the creation of a reusable test data repository.
• Responsible for solving data-related issues and communicating resolutions with other solution domains.
• Actively and consistently support all efforts to simplify and enhance the Clinical Trial Predication use cases.
• Apply knowledge in analytic and statistical algorithms to help customers explore methods to improve their business.
• Contribute toward analytical research projects through all stages including concept formulation, determination of appropriate statistical methodology, data manipulation, research evaluation, and final research report.
• Visualize and report data findings creatively in a variety of visual formats that appropriately provide insight to the stakeholders.
• Achieve defined project goals within customer deadlines; proactively communicate status and escalate issues as needed.

Additional Responsibilities:

• Strong understanding of the Software Development Life Cycle (SDLC) with Agile Methodologies
• Knowledge and understanding of industry-standard/best practices requirements gathering methodologies.
• Knowledge and understanding of Information Technology systems and software development.
• Experience with data modeling and test data management tools.
• Experience in the data integration project • Good problem solving & decision-making skills.
• Good communication skills within the team, site, and with the customer

Knowledge, Skills and Abilities

• Technical expertise in data architecture principles and design aspects of various DBMS and reporting concepts.
• Solid understanding of key DBMS platforms like SQL Server, Azure SQL
• Results-oriented, diligent, and works with a sense of urgency. Assertive, responsible for his/her own work (self-directed), have a strong affinity for defining work in deliverables, and be willing to commit to deadlines.
• Experience in MDM tools like MS DQ, SAS DM Studio, Tamr, Profisee, Reltio etc.
• Experience in Report and Dashboard development
• Statistical and Machine Learning models
• Python (sklearn, numpy, pandas, genism)
• Nice to Have:
• 1yr of ETL experience
• Natural Language Processing
• Neural networks and Deep learning
• xperience in keras,tensorflow,spacy, nltk, LightGBM python library

Interaction :  Frequently interacts with subordinate supervisors.

Education : Bachelor’s degree, preferably in Computer Science, B.E or other quantitative field related to the area of assignment. Professional certification related to the area of assignment may be required

Experience :  7 years of Pharmaceutical /Biotech/life sciences experience, 5 years of Clinical Trials experience and knowledge, Excellent Documentation, Communication, and Presentation Skills including PowerPoint

Roles & Responsibilities: 

· Accelerate customer adoption by identifying specific customer segments and industry verticals in West to approach with a value proposition for using Amazon web services platform. 

· Develop long-term strategic relationships with key companies at the C-levels of Business & IT 

· Work closely with the Channels team to ensure that AWS platform is the partner's preferred cloud computing platform across all service lines. 

· Maintain an accurate forecast and various business reports. 

· Create & articulate compelling value propositions around AWS services. 

· Possess the technical ability to explain (not implement) Cloud Computing, infrastructure solutions (Server, Storage, DC Services) & Internet architectures (firewalls, load balancers, etc). 

· Prepare and give business reviews to the senior management team. 

· Ensure customer satisfaction.

Basic Qualifications

The right person will possess 10-15 years of experience in IT sales 

· Direct field & management experience in working with enterprise accounts. 

· Would have consistently exceeded key performance metrics. 

· Demonstrated ability to engage and influence C-level executives. 

· Strong presentation skills and the ability to articulate complex concepts to cross-functional audiences. 

· Strong technical competencies in the areas of cloud computing, SOA, web services and enterprise software. 

· Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations.

Preferred Qualifications

Minimum Qualification 

BA/BS 

Engineer/MBA Preferred