Offer summary

Qualifications:

Minimum Bachelor’s degree in a highly analytical/numerical subject or equivalent experience., At least 5 years of relevant experience in data analytics, consulting, or the pharma industry., Strong analytical skills with experience in data modeling, predictive modeling, and data visualization tools like Power BI and Tableau., Excellent communication and interpersonal skills, with the ability to build relationships with stakeholders..

Key responsabilities:

Generate insights by analyzing large data sets for cross-channel marketing and sales engagements.

Support Business Development by driving commercial sales through data analysis and client interactions.

Continuously improve dashboards and analytics solutions to enhance user experience and efficiency.

Collaborate with stakeholders and vendors to resolve issues and ensure seamless integration of systems.

Job description

Responsibilities:

Healthcare domain knowledge is preferred
Hands on experience with rolling out industry relevant regional use cases to different markets.
Continuously build and improve dashboards for cross-channel marketing and sales engagements
Generate cross customer, product and country insights through collecting, parsing, managing, analyzing and visualizing large data sets
Support multiple product and project streams, along with varying resources, across the team to ensure on time and quality delivery of all solutions
Work with clients or Business Development Team to achieve external analytics goals and provide stickiness with the clients
Support Business Development team to drive commercial sales through pre-sales and post-sales execution activities
Drive the team forward to solve new problems using additional Data Science and Analytics methodologies and concepts

Core skills:

Issue Resolution: Oversee and promptly address issues reported on various platforms, ensuring efficient problem resolution.

Seamless Integration: Collaborate with vendors to address integration challenges, fostering seamless system operation and reliability across systems used in the company.

Stakeholder Collaboration: Collaborate with stakeholders to enhance systems processes, ensuring alignment with overall business objectives.

Continuous Improvement: Constantly explore opportunities to enhance systems, and explore new tools in the market focusing on improving the efficiency and experience of users.

Training for Users: Provide technical training to a large audience from the user's perspective.

Data Analysis: In-Depth Performance Analysis: Analyze performance trends for sharing insights during company-wide meetings.

Predictive Sales Analysis: Utilize predictive analysis techniques to forecast sales.

Business Development Support through Data Analysis: Use data analysis to comprehend market trends and inform business development initiatives.

Requirements:

Minimum Bachelor’s degree, ideally in a highly analytical/numerical subject or equivalent experience.
Minimum 5 years of relevant working experience in data analytics and consulting or pharma industry.
Data modelling, data cleansing, handling schemas and identification of relevant data attributes
Predictive modelling, statistics, and heavy focus on segmentation techniques
Strong business acumen
Knowledge in Data Science or Data Analytics teams/projects
Experience working with large teams in a client and project management setting
Possess strong storytelling and communications skills through Microsoft Powerpoint, Word, or equivalent
Google cloud and native analytics tools knowledge
Strong analytical skills and attention to detail
Experience in building data products and services
Strong analytical and problem-solving skills. Strong communication and interpersonal skills and ability to build strong relationships with internal and external stakeholders.
Able to work effectively under pressure and comfortable working in a fast-paced environment.
Experience with SQL, Python, or any analytical tools necessary to work with large amounts of data.
Strong knowledge and hands-on experience in data visualization tools such as Microsoft Power BI, Tableau, Looker.