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TT Lifesciences
TT Lifesciences cover picture
Founded :
2016
Type :
Services
Size :
100-1000
Stage :
Bootstrapped

About

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Jobs at TT Lifesciences

TT Lifesciences
at TT Lifesciences
Daryll Fernandes
Posted by Daryll Fernandes
Mumbai
5 - 10 yrs
₹7L - ₹10L / yr
PowerBI
MySQL
MS-Excel
Tableau
Management Information System (MIS)

Job Profile : Senior Data Analyst 

Function: Data Analytics  

Location : Andheri East (Mumbai) 

Joining : Immediate – 15 days 

Education : Graduation

Experience: Minimum 5 years  

Working Days: Monday – Friday (Sat and Sun fixed off)  

Shift timings: 12pm – 9pm 


 

Introduction to Company: 


Since 2016, the TT LifeSciences has been committed to delivering excellent educational events, conferences, and meetings to tightly targeted audiences in highly regulated industries.

 

At that time, most of the educational forums provided for specialised industries were general and colourless. They were designed to have broad appeal to companies operating in vastly different sectors. In trying to address the needs of too many people, they actually addressed 

none. 


TT LifeSciences set out to do things differently. We are client-centered and carefully curate a program designed for our clients’ needs. The result? Educational events that are tailored to the professionals who attend and provide a space for real growth. 


We are proud to have grown to a global operation, with headquarters in both the UK and Asia. We serve some of the biggest healthcare names in the world, like Merit Medical, Getinge Group and Occlutech. 


We have hosted over 100+ interactive and informative medical device conferences, bringing together professionals in niche markets who share similar concerns and challenges to learn, 

inspire and innovate. 


Company Website: https://www.ttgroupworldwide.com



Benefits: 


• Work life balance 

• Rewards & Recognitions programs 

• Employees completing three years receive loyalty bonuses ranging from INR 1 Lac to INR 5 Lacs. 

• Professional development and career advancement opportunities are actively encouraged. 

• Opportunity to work across global Markets Berlin, Germany, the USA, and Europe. 

• Additional benefits include paid holidays, festive leaves, and team gatherings. 

• Comprehensive perks such as Provident Funds and health insurance are provided. 

• Sick leave and relocation assistance are also part of the employee support program 


Job Responsibilities: 


• Collect and clean data from different sources to find useful trends and insights. 

• Create and update dashboards, reports, and charts to share results clearly. 

• Work with teams to understand their data needs and provide solutions. 

• Use statistical methods and forecasting to support decision-making. 

• Suggest ways to improve processes, automate tasks, and maintain data quality. 

• Ensure data is accurate, reliable, and follows privacy rules. 

• Keep learning new tools and methods in data analysis. 

• Share findings and recommendations with stakeholders in an easy-to

understand way. 

• Support business growth by providing timely and relevant insights. 

• Help in designing data strategies that align with company goals. 

• Assist in training team members on using data tools and reports. 


Candidate Specification: 


• Excellent verbal and written communications skills. 

• Confident while working 

• Strong work ethic 

• International exposure 

• To-do-attitude 

• Willingness to learn 

• Long term approach 


Required Skills: 


• Bachelor’s degree in data science, Statistics, Mathematics, Computer Science, 

or a related field. Master’s degree preferred. 

• 5+ years of experience in data analysis, business intelligence, or a related role. 

• Proficiency in SQL, Python, R, or other data analysis tools. 

• Experience with data visualization tools such as Tableau, Power BI, or similar. 

• Strong analytical skills with a keen eye for detail. 

• Knowledge of statistical methods and data modeling. 

• Excellent communication and presentation skills. 

• Ability to handle multiple projects and prioritize effectively. 

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