Data & Analytics Manage

Full time, permanent position
- Hybrid work environment
- 3 days in Pymble office with free onsite parking
- Base salary + company car + incentive scheme

**At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ‘Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’.**

**_ Where do you want to go?_**:
The Data and Analytics Manager is responsible for driving data quality control, governance, data availability and delivering timely and accurate data visualization requests for the Bayer pharmaceutical team.

Collaborating with peers within the Business Excellence team (analytics, business platforms, and digital) your key tasks focus on accountability for data stewardship, analytics and data visualisation.

You will have excellent hands-on skills maintaining metadata and be comfortable liaising with local stakeholders to identify data needs, along with collaborating with global data and technology teams to enable data readiness.

Your passion for solving problems using data will be driven by your desire to support brand squads to deliver a best in class service to our external customers.

Working in an agile environment, you will thrive in being the expert and driving innovation to deliver the best outcome as we strive to achieve our mission of health for all, hunger for none.

This is a full time, permanent position, where we work in a hybrid work model of 3 days in the Pymble office and 2 from home.

**_ Do something that moves you._**:

- Design principles and policies to effectively govern all data.
- Identify, capture and generate new data (e.g., CRM, medical, RWE, sensors); clearing organisational hurdles to gain access to data.
- Maintain partnerships with 3rd party data providers, conducting data integrity and UA testing.
- Analyse data quality and completeness, identify risk areas and recommend solutions.
- Responsible for key aspects along the data modelling cycle: providing support to address business questions and hypotheses, data sourcing and preparation, model development and enable insight generation.
- Work closely with stakeholders, data owners and data engineers to define data pipelines.
- Act as a liaison with global team on data warehousing and architecture.
- Champion knowledge-sharing, learning, and adoption of best practices across the data stewarding community.
- Support the creation, development and maintenance of business dashboards using relevant data visualisation tools (e.g. Tableau and PowerBI).

**_ Does this sound like you?_**:

- Bachelor’s degree or equivalent in Data science, Computer Science, Machine learning, Applied statistics or Mathematics.
- Demonstrable practical programming knowledge in at least two of the following languages: _R_, Python, _Scala_ or SQL.
- Advanced proficiency in data visualization tools e.g., Tableau and Power BI.
- Proven work experience working in a data science, analytics or primary data focussed environment.
- A combination of technical skills and strategic mindset to transform data into valuable assets.
- A work background in a life science or highly regulated industry will be highly desirable.
- Experience in analytics and statistical modelling, preferably including machine learning techniques.
- Proactive attitude and ability work in an agile environment, following agile leadership methodologies.
- Outstanding planning and project skills.
- Strong communication skills.
- Good presentation and commercial acumen skills

We are committed to creating a culture where people can be their best, in an environment that values inclusion, diversity and flexibility. At Bayer everyone belongs, regardless of race, colour, ancestry, religion, national origin, citizenship, sexual orientation, age, marital status, disability, gender identity, personality, thinking styles or background. We strongly encourage First Nations people to apply.

If you have a disability or special need that requires accommodation, please let us know. For more information about out I&D strategy and our commitments to inclusion and diversity, and how it supports our success, please go to Inclusion & Diversity at Bayer

**_ Be part of something bigger_**:
Recruitment agencies please note that this position will be managed via our in-house Talent Acquisition Team. Bayer does not accept any unsolicited resumes.