Data Analyst
Kepak Group, Ireland
Job Description
ABOUT KEPAK RED MEAT DIVISION
Kepak Red Meat Division are part of Kepak Group. Kepak Group are an Irish-based food company serving international markets, restaurants and household foodservice names with prime cuts of meat, on-trend foodservice solutions and ready-for-market convenience foods.
Kepak Red Meat Division over the last decade has developed a comprehensive range of premium food products, concept solutions and value-added services for our valued customers. As a priority within our business we form good open working relationships with our customers, demonstrating profit-making opportunities.
JOB BRIEF:
The Data Analyst will be required to gain a good understanding of the red meat market and provide leadership in how data analytics should be used to ensure that the business is as competitive as possible, and that decision making is strategic and data-driven. The focus of this position is on cleaning, and reporting of data to develop meaningful insights to all aspects of the Kepak Red Meat Division. This position is a 6 month contract.
REPORTING TO: Group Data Architect
KEY RESPONSIBILITIES:
- Data Management amp; Governance
- Has full responsibility for managing data infrastructures and data integrations. Develop and implement databases, data collection systems, data integration, analytics and other strategies that optimize statistical efficiency and quality of outputs.
- Responsible for optimal extraction, transformation, and loading of data from a wide variety of primary or secondary data sources.
- Responsible for data cleaning and preparation: monitor, ‘clean’ and optimise data quality. Develop data quality controls to locate and correct core data problems. Continuously define new process improvement opportunities.
- Data Analysis amp; Exploration
- Provide management team with data-driven insights that will inform the business strategic direction and KPIs - identify, analyse, and interpret trends or patterns in complex data sets, understanding key business questions amp; challenges and analysing data to extract answers to those questions.
- Explore data to unearth commercially significant insights that could bring value to a business.
- Develop, manage and automate reporting capabilities to give decision makers access to important data by removing technical barriers.
- Create visual dashboards, data visualizations and presentations to help communicate key insights in a meaningful way to both technical amp; non-technical audiences.
- Project Management
- Work with management to prioritise business and information needs.
- Work closely with internal departments to guarantee the delivery and high-quality execution of the diverse array of project.
- Reporting amp; Data Visualisation
- Develop, manage and automate reporting capabilities to give decision makers access to important data by removing technical barriers.
- Create visual dashboards, data visualizations and presentations to help communicate key insights in a meaningful way to both technical amp; non-technical audiences.
- Project Management
- Work with management to prioritise business and information needs.
- Work closely with internal departments to guarantee the delivery and high-quality execution of the diverse array of project.
Requirements
- Experience: 2-3 years’ working experience as a Data Analyst
- Education: relevant degree in the fields of Data Analysis, Information Management, Computer Science, Mathematics or relevant work experience.
- Data management: technical expertise regarding data models, database design development, data mining and segmentation techniques.
- Excellent analytical skills with the ability to collect, organize, analyze, and disseminate large and unstructured data sets with attention to detail and accuracy.
- Good statistical knowledge and experience using statistical packages for analyzing datasets.
- Reporting: Strong knowledge of reporting packages, databases (SQL etc), programming (XML, Javascript, or ETL frameworks). Adept at modelling, automation amp; validation, queries, reporting and presenting findings.
- Good Data Visualisation skills are desirable, some experience with data visualisation tools would be a strong advantage.
- Strong communication and influencing skills: ability to communicate to stakeholders across the business, be able to both listen and collaborate as well as inf