Avenga is a global IT and digital transformation champion. We deliver strategy, customer experience, solution engineering, managed services, software products and outsourcing services like: staff augmentation, team leasing and permanent employment.
Together, we are more than 2500 professionals with over 20 years of experience. We are present in Europe, Asia and the USA.
Senior Data Analyst
Miejsce pracy: Poznań
Nr ref.: LP/SDA/POZ/08
Nr ref.: LP/SDA/POZ/08
Senior Data Analyst to support the Enterprise Service Management & Operations Now Intelligence Center of Excellence. This role will be responsible for using analytics and machine learning capabilities to identify, prioritize, and realize high-value opportunities to improve our service management processes through automation and optimization. Additionally, they will be responsible for maintaining the enterprise service management dashboards and reporting, continually improving this product to stay aligned with changing business needs.
These responsibilities include the following:
- Use knowledge of ServiceNow Reporting, Performance Analytics, and Predictive Intelligence modules to support decision making and work with partners to align efforts to improve the performance of the organization.
- Partner with organizational stakeholders to use ServiceNow Reporting & Performance Analytics modules to establish transparent KPIs that are tightly correlated to GSK objectives and provide clear alignment to value delivered, enterprise service management dashboards.
- Building and maintaining enterprise service management dashboards, and support organizational ad-hoc analytics needs for business case development, problem root cause analysis, and identification of value-adding opportunities across our enterprise services and service management processes.
- Support the development of other organizational power users, enabling GSK services to realize the full potential of the ServiceNow reporting and analytics modules to build insights, identify opportunities, measure quality, and responsibly meet the service needs of GSK's employee community.
- Using machine learning and process mining capabilities to identify, prioritize, and support im
Basic Qualifications:
We are looking for professionals with these required skills to achieve our goals:
- Bachelors in Data, Cognitive or Computer Science, Statistics, Engineering or similar technical field
- In depth knowledge of ServiceNow platform, especially Reporting and Performance Analytics modules
- Proficiency with programming languages used by data scientists like Python, JavaScript, R, etc.
- Extensive knowledge of data visualization techniques and best practices
- Experience working together with partners across multicultural global organization (English language skills required to be proficient in speaking and writing)
- Preferred Qualifications:
- Masters in Data, Cognitive or Computer Science, Statistics, Engineering or similar technical field
- Practical experience with machine learning and AI concepts
- Knowledge about Microsoft Azure Cloud Services
- Agile Project Management like SCRUM, SAFe
- UX Design practices
Offer:
- Career at one of the leading global healthcare companies.
- Contract of employment with attractive reward package (annual bonus & awards for outstanding performance, recognition awards for additional achievements and engagement, holiday benefit)
- Family friendly environment (Flexible working solutions: Short Fridays).
- Employee Assistance Program access to free psychological, legal and financial advisory and support.
- Life insurance and pension plan.
- Attractive private medical package
- Sports cards (Multisport).
- Possibilities of development within the role and company’s structure.
- Personalized learning approach (mentoring, online training’ platforms: Pluralsight, Business Skills, Harvard Manage Mentor, Skillsoft and external training).
- Encouraging community and integration events.
- Modern office with creative rooms, fresh fruits every day.
- Free car and bike parking, locker rooms and showers.
- Ability to work up to 4 days a week from home (Performance with Choice)