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Data Visualization & Analytics Engineer(m/w/x)
Designing A/B tests and statistical evaluations for pharmaceutical data. Strong SQL and Python experience required. Certified family-friendly company, hybrid work.
Requirements
- Degree in Computer Science, Statistics, Mathematics, Data Science, or quantitative discipline, or equivalent professional experience in analytics or data science
- Strong hands-on SQL and Python experience
- Familiarity with JavaScript/TypeScript (advantageous)
- Experience with visualization and reporting tools (e.g., Power BI)
- Strong data storytelling capabilities
- Exposure to no-code/low-code platforms (e.g., Dataiku, DataRobot, Power Automate)
- Understanding of data governance
- Understanding of data quality management
- Understanding of enterprise data standards
- Experience in agile environments
- Familiarity with SAFe (preferred)
- Strong analytical mindset
- Solid understanding of data metrics
- Solid understanding of user behavior analysis
- Solid understanding of experimentation methodologies (e.g., A/B testing)
- Ability to translate complex data into clear business recommendations
- Ability to translate complex data into actionable insights
- Proven collaboration skills with cross-functional teams
- Proven collaboration skills with international teams
- Experience in operationalizing analytical solutions
- Experience driving continuous improvement
- Structured working style
- Solution-oriented working style
- Service-focused working style
- Strong communication skills
- Strong stakeholder management skills
Tasks
- Transform complex data into actionable insights
- Analyze large datasets for trends and optimization
- Conduct exploratory data analysis and statistical evaluations
- Design and evaluate A/B tests and experiments
- Ensure data accuracy and reliability
- Support deployment and monitoring of models
- Develop and optimize dashboards and reports
- Create intuitive and impactful visualizations
- Ensure data visualization standards and governance
- Collaborate with global and local stakeholders
- Promote standardization and best practices
- Drive data literacy and a data-driven mindset
- Support analytics and visualization roadmaps
- Contribute to agile delivery frameworks
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- JavaScript
- TypeScript
- Power BI
- Dataiku
- DataRobot
- Power Automate
- SAFe
Benefits
Family Support
- Certified family-friendly company
Generous Parental Leave
- Return-to-work models after parental leave
Flexible Working
- Hybrid working
- Flexible working time
Company Bike
- Job bike
Learning & Development
- Extensive training and development opportunities
- Personal development program
Mentorship & Coaching
- Mentoring program
Career Advancement
- Internal job rotations
Other Benefits
- Employee referral program
- Participation in employee network groups
- Global recognition program
Healthcare & Fitness
- Wide range of health and fitness offerings
- Free vaccinations
- Private health insurance at preferential conditions
Mental Health Support
- Psychological counselling
Bonuses & Incentives
- Performance management with bonus system
Team Events
- Company events
- Company celebrations
Free or Subsidized Food
- Subsidized company restaurant
Parking & Commuter Benefits
- Good public transport connection
- Free employee parking
Competitive Pay
- Takeda share program
Retirement Plans
- Employer contribution to company pension fund
More Vacation Days
- Paid birthday leave
- December 24 and December 31 off
Snacks & Drinks
- Free coffee
- Free tea
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Data Visualization & Analytics Engineer(m/w/x)
Designing A/B tests and statistical evaluations for pharmaceutical data. Strong SQL and Python experience required. Certified family-friendly company, hybrid work.
Requirements
- Degree in Computer Science, Statistics, Mathematics, Data Science, or quantitative discipline, or equivalent professional experience in analytics or data science
- Strong hands-on SQL and Python experience
- Familiarity with JavaScript/TypeScript (advantageous)
- Experience with visualization and reporting tools (e.g., Power BI)
- Strong data storytelling capabilities
- Exposure to no-code/low-code platforms (e.g., Dataiku, DataRobot, Power Automate)
- Understanding of data governance
- Understanding of data quality management
- Understanding of enterprise data standards
- Experience in agile environments
- Familiarity with SAFe (preferred)
- Strong analytical mindset
- Solid understanding of data metrics
- Solid understanding of user behavior analysis
- Solid understanding of experimentation methodologies (e.g., A/B testing)
- Ability to translate complex data into clear business recommendations
- Ability to translate complex data into actionable insights
- Proven collaboration skills with cross-functional teams
- Proven collaboration skills with international teams
- Experience in operationalizing analytical solutions
- Experience driving continuous improvement
- Structured working style
- Solution-oriented working style
- Service-focused working style
- Strong communication skills
- Strong stakeholder management skills
Tasks
- Transform complex data into actionable insights
- Analyze large datasets for trends and optimization
- Conduct exploratory data analysis and statistical evaluations
- Design and evaluate A/B tests and experiments
- Ensure data accuracy and reliability
- Support deployment and monitoring of models
- Develop and optimize dashboards and reports
- Create intuitive and impactful visualizations
- Ensure data visualization standards and governance
- Collaborate with global and local stakeholders
- Promote standardization and best practices
- Drive data literacy and a data-driven mindset
- Support analytics and visualization roadmaps
- Contribute to agile delivery frameworks
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- JavaScript
- TypeScript
- Power BI
- Dataiku
- DataRobot
- Power Automate
- SAFe
Benefits
Family Support
- Certified family-friendly company
Generous Parental Leave
- Return-to-work models after parental leave
Flexible Working
- Hybrid working
- Flexible working time
Company Bike
- Job bike
Learning & Development
- Extensive training and development opportunities
- Personal development program
Mentorship & Coaching
- Mentoring program
Career Advancement
- Internal job rotations
Other Benefits
- Employee referral program
- Participation in employee network groups
- Global recognition program
Healthcare & Fitness
- Wide range of health and fitness offerings
- Free vaccinations
- Private health insurance at preferential conditions
Mental Health Support
- Psychological counselling
Bonuses & Incentives
- Performance management with bonus system
Team Events
- Company events
- Company celebrations
Free or Subsidized Food
- Subsidized company restaurant
Parking & Commuter Benefits
- Good public transport connection
- Free employee parking
Competitive Pay
- Takeda share program
Retirement Plans
- Employer contribution to company pension fund
More Vacation Days
- Paid birthday leave
- December 24 and December 31 off
Snacks & Drinks
- Free coffee
- Free tea
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Takeda Austria GmbH
Industry
Pharmaceuticals
Description
Das Unternehmen ist Vorreiter im Bereich der nachhaltigen und verantwortungsvollen Arzneimittelproduktion.
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