Senior Data Analyst
2 weeks ago
**Senior Data Analyst**
**Location - Spain, Valencia or South Africa, Cape Town**
**Advancing the Future of Freshness, Together**
AgroFresh is a fast-moving, dynamic company dedicated to delivering integrated near
- and post-harvest solutions for more freshness and quality, every step of the way from harvest to home. From next-gen digital monitoring and analytics and plant-based coatings to integrated fungicide solutions and SO2 generating sheets for more intelligent packaging, you can count on us for a full suite of near
- and post-harvest solutions that help enhance quality and extend the shelf life of your fruits and vegetables.
When you work at AgroFresh, you work with the leading experts in near
- and post-harvest technologies to proactively solve the most pressing challenges. Imagine a world where the produce supply chain has more time every step of the way. Where products get to consumers exactly as the grower intended. Where food loss is minimized, sustainability maximized, and business empowered. This is the world of Smarter Freshness.
**What the Role Delivers**
You will play a critical role in ensuring data accuracy, driving insights, managing documentation, and contributing to master data management (MDM) and data governance efforts. This is an excellent opportunity for someone who enjoys both analytical work and process optimization in a fast-paced, collaborative environment.
**K**ey**Responsibilities**:
- In order of relative importance_
- Partner with internal stakeholders to gather, analyse, and document business and reporting requirements.
- Develop and maintain dashboards, reports, and data visualizations using tools such as Power BI, Excel, or Tableau.
- Create mock-ups, process flow diagrams, and documentation to translate business needs into actionable solutions.
- Maintain and update data documentation, business glossaries, and reporting guides to support governance and transparency.
- Participate in and sometimes lead project management activities—tracking deliverables, timelines, and milestones.
- Support Master Data Management (MDM) initiatives, including data cleanup, validation, and maintenance of data integrity across systems.
- Identify gaps or inefficiencies in existing processes and propose enhancements or automation opportunities.
- Collaborate with IT, data governance, and business teams to improve data accessibility, visibility, and quality.
- Provide ad hoc analysis and insights to support decision-making and strategic initiatives.
- Ensure compliance with data standards, governance frameworks, and reporting best practices.
**Who to Work With**
- Primary internal and external stakeholders_
- All Business units
- Internal stakeholders
- External vendors
**How We Work**:
- Accountability for Results
- Mindset for Growth
- Customer Centricity
- One AgroFresh
- _Owns the Talent_
**What the Job Requires**
- Bachelor’s degree in Data Analytics, Business, Information Systems, or a related field.
- 3+ years of experience as a data analyst, business analyst, or similar role.
- Strong analytical and problem-solving skills with a proven ability to translate business questions into data insights.
- Proficiency in Microsoft Excel and at least one data visualization tool (Power BI, Tableau, or similar).
- Working knowledge of SQL for data extraction and analysis.
- Excellent written and verbal communication skills with the ability to collaborate effectively across teams.
- Proficiency in English, additional languages are an advantage
- Strong organizational skills and attention to detail for documentation and project coordination.
- Demonstrated ability to manage multiple priorities and meet deadlines.
**What to Have Done and Know How to Do**
- These skills and experiences are highly desirable; however, they do not preclude exceptions based on an individual’s performance history and demonstrated potential. _
- Experience with Master Data Management (MDM) tools and data governance frameworks.
- Familiarity with process improvement methodologies (Lean, Six Sigma, or similar).
- Exposure to data quality, lineage, and metadata management practices.
- Experience with project management tools (e.g., Jira, Asana, or MS Project).
- Knowledge of database structures, ETL processes, or automation tools (e.g., Power Automate, Alteryx).
- Experience working in a collaborative Agile product team
- Self-motivated with strong problem solving and learning skills
- Flexibility to change direction of work as project develops
- Excellent communication, listening and influencing skills
- Bias for action, with ability to deliver outstanding results through task prioritization and time management
- Number sense; healthy skepticism around validity of data and its inherent biases
- Intellectual humility to leverage the expertise of others
- Exemplary organizational skills with attention to detail & accuracy
- Strong work ethic; ability to work at an abstract level and gain consensus
- Ability to
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