Sales Intern

Responsibilities and Duties

• Good understanding of front-end technologies, including HTML5, CSS3, JavaScript, jQuery.

• Experience designing and developing responsive design websites.

• Ability to understand CSS changes and their ramifications to ensure consistent style across platforms and browsers.

• Ability to convert comprehensive layouts and wireframes into working HTML pages.

• Strong understanding of PHP back-end development

Key Skills

Wordpress, WooCommerce. Elementor, PSD/Figma/Xd to HTML, Bootstrap

Requirements and Skills:

● Bachelor’s degree in Architecture.

● Proven working experience of 2 to 4 years as an Architect.

● IIA association is a plus.

● Strong portfolio to demonstrate artistic skills.

● Strong imagination and the ability to think and create in three dimensions.

● Proficiency in architectural design software, including AutoCAD, Revit, SketchUp, and Adobe Creative Suite.

● Expert knowledge of building products, construction details, and relevant rules, regulations, and quality standards.

● Excellent drawing skills and familiarity with design software (Adobe Photoshop, SketchUp, 3d Studio VIZ, or similar).

● Visual awareness and a keen eye for detail.

Job Description :

As a Data & Analytics Architect, you will lead key data initiatives, including cloud transformation, data governance, and AI projects. You'll define cloud architectures, guide data science teams in model development, and ensure alignment with data architecture principles across complex solutions. Additionally, you will create and govern architectural blueprints, ensuring standards are met and promoting best practices for data integration and consumption.

Responsibilities :

- Play a key role in driving a number of data and analytics initiatives including cloud data transformation, data governance, data quality, data standards, CRM, MDM, Generative AI and data science.

- Define cloud reference architectures to promote reusable patterns and promote best practices for data integration and consumption.

- Guide the data science team in implementing data models and analytics models.

- Serve as a data science architect delivering technology and architecture services to the data science community.

- In addition, you will also guide application development teams in the data design of complex solutions, in a large data eco-system, and ensure that teams are in alignment with the data architecture principles, standards, strategies, and target states.

- Create, maintain, and govern architectural views and blueprints depicting the Business and IT landscape in its current, transitional, and future state.

- Define and maintain standards for artifacts containing architectural content within the operating model.

Requirements :

- Strong cloud data architecture knowledge (preference for Microsoft Azure)

- 8-10+ years of experience in data architecture, with proven experience in cloud data transformation, MDM, data governance, and data science capabilities.

- Design reusable data architecture and best practices to support batch/streaming ingestion, efficient batch, real-time, and near real-time integration/ETL, integrating quality rules, and structuring data for analytic consumption by end uses.

- Ability to lead software evaluations including RFP development, capabilities assessment, formal scoring models, and delivery of executive presentations supporting a final - recommendation.

- Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data and multi-media, ETL, ESB).

- Experience with cloud data technologies such as Azure data factory, Azure Data Fabric, Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc.

- Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka.

Data Scientists are analytical experts who use their skills in mathematics, statistics, and computer science to solve complex business problems. They collect, analyze, and interpret large datasets to extract meaningful insights and develop data-driven solutions. Their work helps organizations make informed decisions, improve processes, and gain a competitive edge.

Key Responsibilities:

• Data Collection and Preprocessing:
• Gathering data from various sources (databases, APIs, web scraping, etc.).
• Cleaning and transforming data to ensure quality and consistency.
• Handling missing values, outliers, and inconsistencies.
• Integrating data from multiple sources.
• Data Analysis and Exploration:
• Conducting exploratory data analysis (EDA) to identify patterns, trends, and relationships.
• Applying statistical methods and hypothesis testing to validate findings.
• Visualizing data using charts, graphs, and other tools to communicate insights.
• Model Development and Deployment:
• Developing and implementing machine learning models (e.g., regression, classification, clustering, deep learning).
• Evaluating model performance and fine-tuning parameters.
• Deploying models into production environments.
• Creating and maintaining machine learning pipelines.
• Communication and Collaboration:
• Presenting findings and recommendations to stakeholders in a clear and concise manner.
• Collaborating with cross-functional teams (e.g., engineers, product managers, business analysts).
• Documenting code, models, and processes.
• Translating business requirements into technical implementations.

Required Skills: Cold Calling, Email Campaign, Professional Networks (LinkedIn)

1. Thorough understanding of IT products and services.
2. Proficient in mining & managing data through database portals & professional networks.
3. Generate appointments through activities like cold calls, email campaigns, and professional networking.
4. Ensure accurate procedures are followed for cold calling, email campaigns, and professional networking activities to generate appointments.
5. Maintain a systematic follow-up process to nurture leads not yet ready for an appointment.
6. Proficiency in using the Zoho CRM system
7. Meet quarterly and yearly targets as assigned.
8. Maintain a healthy lead-generation pipeline.

Expectations:

1. Excellent communication, interpersonal, and phone skills
2. Ability to set up appointments proficiently using all inside sales activities.
3. Proven track record in cold calling, email marketing, lead generation, and networking with professionals
4. Able to thrive in a fast-paced environment and consistently meet deadlines.
5. Self-motivated with strong multitasking abilities, able to work independently or collaboratively within a team.
6. Familiarity with CRM, major database portals and professional networking platforms

- Generating business through online freelancing portal likes freelancer, upwork, guru etc.

- Good write proposals skill for projects

- Setup portfolio on websites and get projects through these websites

- Should be comfortable in client interaction

- Should have prior experience in software or Web Development Company.

- Candidates should be dynamic enough to achieve our monthly or quartely targets.

• Tie up with Pharmacies for execution of customer orders   
• Get company agreement signed by pharmacies in specified timelines.  
• Train Pharmacies on the process for receiving, processing and execution of App orders  
• Coordinate with call centre team for resolving execution issues of partner pharmacies  
• Manage payment settlement with partner pharmacies  

• Ensure timely submission of reports by partner pharmacies like GMV, product wise sale report, etc.

Largest network of beauty and wellness store with over 150 stores across Bangalore, Chennai, Hyderabad, Cochin, Mumbai, Pune, Bhubaneswar and Kolkata. In addition to the stores, also have a strong online presence:
Job description:
Basic knowledge in Javascript, HTML, CSS

Knowledge in React JS, React native components

Latest Technology knowledge like hooks, Redux

Number of apps released/live in React native /Anroid & IOS, Business nature of the app

Understanding of deep react-native concepts

Understanding of advanced concepts like optimizing app

Understanding of security, deployment, app releases

1. Understanding of support of app on multiple screens, android and ios versions, iterative development and enhancement of the app