Vacancy: Data Analyst

Objectives

To provide a strategy on the data needed to support MPQC’s current and future goals
To ensure sufficient data is collected to meet the needs of the organisation
To analyse and report on operational and performance data,
To provide actionable insights and opportunities to senior management.

Reporting to

Key Tasks and Responsibilities

Implement efficient ways of collecting data from various sources
Review collected data and ensure sufficient data is being collected to meet the needs of the organisation and its’ strategy.
Analyse data and produce operational and performance reports, providing actionable insights and opportunities to the management team, including but not limited to:
- Identify trends, anomalies, and opportunities across usage, workforce, and training data.
- Deliver compliance metrics for both customers and internal stakeholders.
- Analyse role-based training requirements, including which companies provide specific training.
- Evaluate eLearning performance, including completion rates, drop-offs, pass/fail outcomes, and retake frequency.
- Analyse entry compliance and identify key reasons for non-compliance, highlighting recurring trends.
- Churn risk, adoption patterns, and site usage behaviour.
- Demographic trends across the user base.
- Risk management by tracking MPA incident statistics against competency levels, interventions, and bans through a maintained risk register.
Develop and maintain databases, data systems, and data visualisation tools
Collaborate with different teams to identify opportunities for process improvement and optimisation
Design and implement data-driven strategies to support business objectives
Monitor and analyse key performance indicators (KPIs) to evaluate the success of initiatives
Handling sensitive data and details in line with established protocols.
Educating final users on newly introduced reports and dashboard interfaces.
Develop and maintain good working relationships with internal and external stakeholders, including MPQC colleague and managers, Procheck and members/customers
Stay current with industry trends and best practices in data analysis and business intelligence

Key Results Areas

Comprehensive data set to support organisation strategy, industry and member needs
Improved Operational and Performance Reports, in line with agreed metrics
Actionable Insights/opportunities evidenced through data analysis

Person Specification

Essential:

3+ years experience in data analysis
Deep knowledge of programming languages
Skilled at using data visualization tools, such as Power BI
Able to communicate complex findings in a clear and concise manner
Familiarity with machine learning algorithms and techniques is a plus
Detail-oriented, with the ability to manage multiple projects and deadlines simultaneously
Excellent communication skills

Desirable:

Degree in Statistics, Mathematics, Computer Science, or a related field
Familiarity with machine learning algorithms and techniques is a plus
Knowledge of the mineral products sector
Experience of having worked in a membership organisation

To express your interest in this position, please email [email protected], attaching a copy of your CV.