Data Analyst

Role: Data Analyst

Location: Nantgarw, Cardiff - 3 days per week onsite

Salary: £20.00 per hour via umbrella company

Length: 12 months with potential for extension

Role Summary/Purpose

Me client is a digital industrial business with its ability to harness large streams of data that are providing incredible insights and in turn, real operational value for customers. We are seeking a highly motivated individual to contribute to our digital future.

You will work within the Sales, Inventory & Operations Planning Team to develop and apply algorithms to transform raw data into actionable insights. As the Data Analyst you will possess analytical skills, a structured approach to problem solving, and statistical knowledge.

Our job is to work alongside the business to develop, test and deploy analytics or software which provide significant insights and improvements to the business. We also develop custom in-house tools to help us deliver our projects efficiently and effectively. We support a wide range of internal customers and every project is different and gives the opportunity to learn something new.

Responsibilities Include:

• Support with the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
• Perform exploratory and targeted data analyses using descriptive statistics and other methods.
• Collaborate across the business to identify and define new data & reporting requirements with the aim of delivering value adding insight and consistency across the teams.
• Facilitate embedding a self-service capability for operational business users including automating as far as possible to reduce manual intervention and drive efficiency across the business.
• Support analytics systems including the development and maintenance of systems, processes, and algorithms. You will contribute to the integration, enhancement, and deployment of our analytical suite to give our leadership visibility of how the business is performing to make timely, data-driven decisions.
• Support with capacity modelling, maintain and develop new and existing forecasting demand models based on business insights research & analysis
• Owning a project; build engagement, influence relevant stakeholders, and deliver change
• Work closely with Lean and Operations teams, playing a crucial role in our journey to operational excellence
• Participate and support digitisation projects
• Research and implement new statistical, machine learning and optimization approaches. Understand best practice and keep up to date with trends, new technology and competitor advances.

Qualifications/Requirements

• Bachelors degree from an accredited university of college, or equivalent knowledge and experience (Mathematics, Statistics, Operations Research and/or Data Science).
• Highly proficient in Microsoft Office tools including Excel and PowerPoint
• Proven experience with SQL
• Flexible and resilient to respond constructively to new challenges
• Self-starter able to operate autonomously with minimal guidance to consistently achieve high quality output
• Detail-oriented, while also constantly prioritizing needs with resources available; able to support multiple projects and/or business functions at once
• Excellent communication skills, interacts with multiple levels and functions with the distribution organization, and able to manage relationships
• Able to thrive in a small core team and frequently interact with cross-functional teams
• Strong knowledge in statistical modelling
• Ability to translate complex datasets to understandable trends and market patterns using data visualization & analytics tool such as TIBCO Spotfire, Tableau, PowerBI or similar

Desired Requirements

• Master’s degree in any discipline (Business, Data Science, Mathematics, Statistics, Operations Research or related field) preferred
• Proven experience working on OR problems in industrial manufacturing companies
• Proven experience in simulation modelling
• Familiar with machine learning concepts, methods, and tools
• Understanding and working knowledge of capacity & supply chain planning
• Working knowledge of programming/scripting languages (Python, R, or similar)