Data & Analytics Manager
Il y a 3 mois
As **Data & Analytics Manager,** you will lead the development and execution of our data strategy, ensuring the alignment with the company's strategic goals**. **This role involves close collaboration with various stakeholders and a practical approach to evolving our data architecture from its current state to its future desired state.
**Your responsibilities**:
- Develop and refine the organization's Data & Analytics strategy, ensuring it supports the overall business objectives.
- Design and oversee the implementation of a future-oriented data architecture that is scalable, secure, and efficient.
- Create a comprehensive roadmap for the Data & Analytics strategy, detailing milestones, timelines, and resources required.
- Collaborate with business stakeholders to establish and enforce data ownership, governance policies, and data quality standards.
- Oversee the development, maintenance, and optimization of data warehouse, data lake, and other data management platforms to ensure high data quality, consistency, and accessibility.
- Lead cross-functional projects to integrate new data sources, deploy new analytics tools, and enhance the organization's data literacy and analytical capabilities.
- Promote a culture of data-driven decision-making by enhancing data literacy across the organization through training and support for non-technical staff.
- Monitor and measure the performance of data and BI initiatives against the organization's strategic goals, ensuring they deliver value and a positive ROI.
- Stay informed of industry trends and technological advancements in data management and analytics, recommending investments in new technologies or methodologies as appropriate.
**Skills and Qualifications**
- A minimum of 5 years of relevant experience in Data & Analytics management, with a proven track record of developing and implementing effective Data & Analytics strategies.
- Master degree in Information Technology, Economics or related field
- Deep knowledge of the Azure data stack and familiarity with SAP is preferred.
- Knowledge of OSIsoft PI is a plus
- Strong foundation in project management methodologies, such as PRINCE2 and Agile, is highly beneficial.
- Demonstrated ability to tackle ambiguous or under-defined problems with a proactive "can do" work ethic, coupled with effective time management skills.
- Excellent communication skills, with the ability to articulate complex data concepts to diverse audiences, including technical and non-technical stakeholders.
- Proficiency in English, both written and verbal, is essential.
**What we can offer you**
We offer an attractive salary and benefits package and as part of a global organization can offer career opportunities internationally. As Masters of Malt we want to be a great employer, focusing on flexibility, inclusion, collaboration and health and wellbeing. We live our values, putting people at the heart of what we do.
**“Strive”** - our ambition is to be the best maltster that's why every day we commit to challenge ourselves to achieve the highest level.
**“Care”** - our strength is magnificent when we care for our earth, our colleagues and our business partners. We encourage trust, respect and treat each other with respect. We believe that Diversity makes us stronger.
**“Inspire”** - We adopt a long-term orientation delivering sustainable performance through innovation and digitization, becoming praised Masters of Malt.
**“Explore”** - thinking out of the box and embracing pioneer ideas to become a source of motivation, we like challenging the status quo to develop full potential.
**Job Types**: Full-time, Permanent contract
**Benefits**:
- Company car
- Company computer
- Company events
- Company phone
- Eco vouchers
- Food allowance
- Fuel card
- Hospitalization insurance
- Retirement plan
- Work from home
Schedule:
- Monday to Friday
Supplemental Pay:
- 13th month salary
- Vacation money
- Yearly bonus
Ability to commute/relocate:
- 2030 Antwerpen: Reliably commute or planning to relocate before starting work (required)
**Experience**:
- Data analysis skills: 5 years (required)
Work Location: In person
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