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Open nowPosted 6 hours ago

Data & Analytics Manager

RAFARM

Where
Paiania, Attica, Greece
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Your applicationOpen nowData & Analytics ManagerRAFARM · Paiania, Attica, Greece

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on RAFARM's own form.

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The clock on this job

Early applications get read.

12.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.8%7 days
  4. 20.6%14 days
  5. 35.6%30 days
  6. 58.4%60 days
This job: posted 6 hours ago

The posting

About the company

RAFARM is an innovation-driven, dynamically growing pharmaceutical company and a well-established European manufacturer with an outward-looking orientation that invests 13% of net turnover in Research and Development. We introduce high technology in our state-of-the-art sterile manufacturing plant and create new production lines with cutting-edge technology and robotic equipment. RAFARM is a place where our people evolve and are full of passion and interests. We are a dynamic team that empowers talent, embraces diversity and accelerates development.

About the role

We are looking for a Data & Analytics Manager to help shape our enterprise data strategy and architecture from the ground up, creating the foundations for improved reporting, analytics, automation and data-driven decision-making. You will have significant influence over how data is structured, governed and consumed, while working closely with teams across the business to turn enterprise data into a trusted and valuable organizational asset.

Key Responsibilities

  • Lead, develop and support the Data & Analytics team, setting priorities, allocating work and building the technical capabilities required to deliver the organization’s data strategy.
  • Lead the design, development and deployment of the enterprise data warehouse and data platform, including scalable data models optimized for analytics and reporting.
  • Build and maintain robust ETL/ELT pipelines to integrate data from SAP and other business systems across the organization.
  • Establish strong data quality, governance and security controls to ensure enterprise data is accurate, trusted and appropriately protected.
  • Work closely with business stakeholders, analysts and Application Owners to translate business needs into technical solutions and understand source-system structures, APIs and dependencies.
  • Monitor and optimize data pipelines and platform performance, while maintaining clear documentation of data models, definitions and transformation logic to support self-service analytics.

Requirements

  • Minimum 7 years of professional experience, ideally within a manufacturing or pharmaceutical environment.
  • Previous experience leading or managing a data, analytics or engineering team, with the ability to coach team members and coordinate delivery across multiple initiatives.
  • Strong experience in data engineering, data warehousing or data platform development.
  • Experience designing and implementing ETL/ELT pipelines and data integration solutions.
  • Good understanding of dimensional modelling, relational databases and modern data architecture principles.
  • Strong SQL skills and practical experience working with enterprise data.
  • Experience with modern cloud data platforms, preferably within the Microsoft Azure ecosystem.
  • Experience with data visualization and analytics platforms such as Power BI, with a good understanding of downstream reporting and analytical requirements
  • An understanding of data governance, data quality, security and access-control principles.
  • The ability to translate business requirements into practical and maintainable technical solutions.
  • Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders.
  • Experience working in the pharmaceutical, life sciences or another regulated GxP environment would be a significant advantage.
  • Experience working with SAP data, including an understanding of SAP data structures and integration approaches is highly desirable.

Benefits

  • Competitive Compensation
  • Private Health Insurance
  • Career Development Opportunities
  • Work-Life Balance
  • Company Bus
  • Innovative Work Environment
  • Community Engagement
  • Recognition and Rewards
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    The review screen in CV Rocket: how each CV was read, round by round.

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