Data Visualization Consultants (PharmaTech)

Hiring: Customer Support Superstar! 🚀

We are looking for a friendly, quick-thinking Customer Support Associate to join our team and help our customers have the best experience possible.

What you’ll do:

• Be the Voice: Respond to customer queries via chat, email, and phone.
• Solve Puzzles: Troubleshoot issues and provide clear, helpful solutions.
• Keep it Real: Maintain a positive, empathetic, and professional attitude.
• Team Up: Work with other departments to fix recurring bugs or issues.

What we’re looking for:

• Excellent communication skills (you love talking to people!).
• Ability to stay calm under pressure.
• A "can-do" attitude and quick learning speed.
• Previous experience in support is a plus, but not a dealbreaker.

Why join us?

• Competitive pay & perks.
• Fun, remote-friendly work culture.
• Opportunities to grow within the company.

Interested?

Apply with your Resume.

Daily, hands-on execution

 • Daily stand-ups 

• Sprint planning & tracking 

• Code reviews & debugging 

• Pod-level unblockers

Execution rhythm, code quality, sprint delivery, pod momentum

I need someone to work on a chat application on iOS. Someone with experience in objective C and swift with problem solving skills

The ideal candidate will have experience in all stages of the sales cycle. They should be confident with building new client relationships and maintaining existing ones. They should have evidence of strong skills and possess good negotiation skills.

Responsibilities

• Build relationships with prospective clients
• Maintain consistent contact with existing clients
• Manage sales pipeline
• Analyze the market and establish competitive advantages
• Track metrics to ensure targets are hit

Qualifications

• Bachelor's degree
• Strong negotiation skills
• Strong communication and presentation skills
• Work on the sales funnel and CRM handling of HubSpot
• Work on making a digital strategy to follow and adapt with clients

Year of experience- 2+ years

Skills

• Experience with designing, developing, deploying, and maintaining secure and scalable web-based applications.
• Experience using JavaScript based frameworks- ReactJS/AngularJS, HTML/CSS, Java Script, XML, jQuery, NodeJS, Express and other related technologies.-Good understanding of data structures and algorithm-Familiarity with databases.
• Experience working with container technologies like Docker and knowledge of CI/CD processes for automated integration and deployment.-Basic knowledge of AWS preferred.

• Experience with Scrum or other Agile development methodologies.-Comfortable working in multi-disciplinary, self-organized teams.-Good at written and verbal communication skills.

• Design and develop high-quality software used by millions of customers, in an agile and iterative development culture.
• Support and maintain existing applications and develop new modules as and when required for feature enhancements.
• Adopt best practices in web development, design, testing, code review, version control, documentation, build, deployment, and operations.
• Participate in design reviews, code reviews, and provide improvement recommendations.
• Working closely with product lead, delivery lead, and other agile team members, and ensures that the desired result for our projects are achieved.

Role: Data Analytics Lead / Manager

1. Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
2. Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
3. Coordinate with different teams to determine requirements for data warehousing, reporting and analytical solutions, and ensure customer satisfaction on deliverables
4. Oversee analytics projects to extract, manage, and analyse data from multiple applications, ensuring that deadlines are met.
5. Apply statistics and data modelling to gain actionable business insights and boost customer productivity and revenue.
6. Enforce company policies and procedures to ensure quality and prevent discrepancies.
7. Communicate and track key performance metrics across departments.
8. Keep abreast of industry best practices and policies.
9. Research Latest trends, analyse data, identify opportunities and incorporate changes into business strategies.
10. Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.
11. Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
12. Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.
13. Develop and implement MLDevOps, quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
14. Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.
15. Organize and drive successful completion of data insight initiatives through effective management of data analyst and effective collaboration with stakeholders.

Essential Skills

1. Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
2. Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
3. Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
4. Experience and knowledge of statistical modelling techniques: multiple regression, logistic regression, log-linear regression, variable selection, etc.

 We’re looking for someone with at least 10+ years of experience in a position monitoring, managing, transforming and drawing insights from data, and someone with at least 5 years of experience leading a data analyst team.

Experience in Azure is preferred