Ipsos hires exciting Data Analyst Job in Bengaluru 2024.

Ipsos is hiring for a Data Analyst Job in Bengaluru 2024. Both Freshers and Experienced candidates must apply for this position and Grab this opportunity.

Hello Data Folks, This is the great opportunity for all the individuals who have interest in Data Science domain, must start a job at Ipsos for the position of Data Analyst Job in Bengaluru. If you are someone who is interested in this Job role must read there all responsibilities and requirements. And If you are someone who is looking for Data Science Jobs in Bengaluru or some other opportunities in Data Sector, must Subscribe to our Web Notification or follow us on other social media handles.

💥FREE Resources : One important things is that ChatGPT is entirely changing the field of Data Science and Analytics, so if you are eager to learn the concepts of ChatGPT in Data Science and Analytics that too for FREE, so you must CHECK HERE for free resources to learn ChatGPT for Data Science and Analytics.

About Company

Ipsos is a global market research and consulting firm headquartered in Paris, France. Founded in 1975 by Didier Truchot, Ipsos has grown to become the third largest research company in the world. The company conducts over 70 million interviews annually for more than 5,000 clients across various industries and operates in over 100 countries. Ipsos specializes in marketing research, media and advertising research, client and employee relationship management, and opinion and social research. With a workforce of around 19,500 employees, Ipsos is known for its innovative methods and significant influence on public opinion and market trends.

About Job Role

Ipsos is hiring a Data Analyst for Healthcare division. The Healthcare Service Line works with Pharmaceutical, biotech, medical device manufacturers and technology companies throughout the project lifecycle from early-stage strategy, to launch of a new product, to product optimization. In addition to custom research, the healthcare Service Line also works on therapeutic centers of expertise in Oncology, Autoimmune, Virology and more.

Responsibilities

• Work closely with team members on design and execution of large-scale modeling efforts, including programming, statistical analysis, and reporting.
• Collaborate on programming new data science products by translating needs identified with clients into analytic frameworks that can be developed into polished applications.
• Build, maintain and enhance codebases underlying key applications.
• Support other marketing science analyses for clients as required.
• Communicate with and provide consulting for internal teams and external clients on data models, analysis findings, process efficiency, and marketing science best practices.

Requirements

• Proficiency in advanced Python and/or R programming, including the ability to produce and maintain reusable and modular codebases.
• Bachelor’s degree.
• Comfortable working in a highly collaborative, consensus-oriented environment.
• Experience in analytics, extracting and surfacing value from quantitative data.
• Strong eye for detail, ability to communicate scientific concepts both in written form and verbally, and excellent time-management skills.

Pluses

• Advanced degree (M.S., Ph.D.) is preferred, but by no means required.
• Strong knowledge of underlying mathematical foundations of statistics and machine learning.
• Experience with multiple modern techniques and algorithms in machine learning and statistical computing such as regression, clustering/segmentation, time-series analysis, recommender systems, predictive analytics, network analysis, Monte Carlo, agent-based models, Bayesian modeling, data fusion, drivers analysis, neural networks, and genetic algorithms.
• Working knowledge of SQL.
• Prior success designing and deploying machine learning solutions in large-scale production environments.
• Experience with collaboration tools (e.g. Atlassian suite) and version control systems (e.g. Git).
• Large dataset manipulation. Experience in distributed storage and computing.
• Experience with JavaScript, esp. visualization libraries (e.g. d3.js).
• Experience creating and deploying web applications.
• Experience with Linux server and system administration.
• Experience in the field of Market Research.

Why Join Ipsos

• Ipsos is one of the world’s largest research companies and a global leader in market research and data-driven solutions.
• With operations in over 90 markets, Ipsos offers employees the opportunity to be part of a diverse, innovative, and dynamic work environment.
• The company is proud of its expertise in helping the world’s top organizations solve complex challenges through data, research, and insights, serving over 5,000 clients worldwide.
• For professionals in analytics, Ipsos offers a collaborative, cutting-edge space to apply their skills in fields like healthcare, marketing science, and data modeling.
• The company fosters a supportive, teamwork-oriented environment that encourages innovation.
• As an employee, you’ll be working alongside some of the industry’s top talent, allowing for significant learning and growth.
• Whether it’s contributing to the development of large-scale data science products or collaborating on innovative research projects, Ipsos provides ample opportunities to make a tangible impact.
• The company’s focus on professional development and continuous learning, along with its recognition as a Great Place to Work in 2022 and 2023, makes it an ideal workplace for those passionate about data science, research, and analytics.
• For individuals looking to work at the forefront of research and data-driven insights, Ipsos is a company where you can thrive, innovate, and grow.

Career Growth and Opportunities

• Ipsos is a global market research giant recognized throughout the world for its standard research quality and provision of systematic solutions.
• The company boasts of a vast global footprint, operating in 90 countries and catering to over 5000 clients all over the world, including top companies in healthcare, pharmaceuticals, and other sectors. Such broad reach, coupled with diverse client base presents plenty of chance for career advancement and development.
• At Ipsos, employees are given the opportunity to participate in advanced and technologically modern research activities, where they will be exposed to the most recent methods in data analytics, machine learning, and statistical modeling.
• The co-operative form of work organization encourages the exchange of knowledge and contributes to the development of individual skills helpful in gaining technical and analytical competence. Employees are also allowed to work on various projects for different clients all over the world, which not only enhances the overall quality of experience but also allows for different connections to be made within industries.
• In the company, one can expect to grow professionally through assistance from accomplished colleagues, attending in-house training, or working with new equipment.
• Considering their emphasis on research and data science, employees are free to choose different career paths in areas like health, machine learning, and market research analytics.
• Such recognition of Ipsos as a Great Place to Work in Years 2022 and 2023 points to the Company’s availability of an enabling work environment geared towards the fulfilling of career aspirations and development of individuals.
• To sum up, Ipsos presents an appealing proposition to an individual interested in long-term prospects.

Industry Impact of the Role

• To address the growing demand for its services, Ipsos expanded its activities from Europe to the whole world.
• In addition to the empirical approaches, qualitative research has also been enhanced. It is acknowledged in every sector but more especially in health care.
• If you join Ipsos’ Healthcare Service Line as a Data Analyst, the results of your work will immediately reach the clients in pharmaceutical, biotechnology and medical device companies, who are addressing the complex issues of product development throughout the and after a specific product is launched.
• There is room for advancement within the firm and this active role involves doing high-level research using complex analytics, statistical models and machine learning.
• The data visuals created are instrumental in informing business strategies for the top health care firms around the world.
• It not only defines the components of a product strategy but also assists in the enhancement of understanding the changing dynamics of healthcare and patients, thus improving delivery of healthcare services.
• This position emphasizes the power of data-driven solutions, ensuring Ipsos continues to serve its diverse clientele with innovative, research-backed insights that address their most pressing challenges.

Learning and Development Opportunities

• Being a global market research firm, Ipsos ensures that its employees’ development and growth is a core focus.
• Being a research-oriented organization, it is an emphasis on internal growth through the acquisition and application of skills in data handling, market research, and other related approaches.
• The employees are also subjected to different sectors among them; for instance, healthcare where they collaborate with different professionals to acquire specific skills.
• Ipsos also believes in organized learning and so implements it within a team structure, whereby team members work on state-of-the-art projects that involve the use of statistics, machine learning, and data science.
• Together with this, employees have access to the best experts in any field paving the way for them to learn from some of the best in the business.
• Moreover, Ipsos also encourages employees’ development even further through certifying, training, and mentoring them in ways that promote both technical and non-technical skills as well.
• As such, by providing a culture that encourages creativity and a thirst for knowledge, Ipsos gives its workforce all the necessary resources for career progress and this is what makes it a perfect organization for a person who wants to combat the storm of data-driven research.

Application Tips and Common Mistakes

• Before applying to the job post, make sure that your resume serves its purpose by showcasing relevant skills, including Python, R, SQL is crucial.
• Make sure that you should customize your resume before applying particular job role and also add the relevant skills mentioned in Job description without any failure.
• Finally, always remember that your resume fulfills the expectations of the job description and also showcase your project work very well in your resume.

Rishikesh Deshmukh

I am working with a dedicated team of experts committed to helping job seekers find a right job opportunities in Data Domain Sectors. We aim to match job seekers with latest job openings in Data Domain.