Job Title:

Job Description

What you will be doing:

Data Analysis & Insight Generation

• Analyze large and complex datasets to identify trends, patterns, and key business insights.

• Develop actionable recommendations that support better business decisions and improve operational performance.

• Apply statistical techniques, predictive modelling, and data mining methods to enhance reporting quality and insight generation.

Reporting & Data Visualization

• Design, build, and maintain dashboards, reports, and scorecards using tools such as SQL, Power BI, Tableau, Looker, or Excel.

• Ensure data accuracy, consistency, and integrity across all reporting outputs.

• Present findings in a clear, compelling, and business-friendly way for both technical and non-technical audiences.

Business Problem Solving

• Identify root causes of operational and business challenges using data-led approaches.

• Recommend practical, evidence-based solutions to improve business processes, operational efficiency, and customer experience.

• Work collaboratively with cross-functional teams to turn insights into real business actions.

Performance Tracking & Continuous Improvement

• Monitor and evaluate key performance indicators (KPIs) to identify improvement opportunities.

• Support the development of forecasting models to aid planning and decision-making.

• Continuously refine methodologies and reporting approaches to improve the accuracy, relevance, and value of insights.

Stakeholder Engagement & Collaboration

• Engage with internal and external stakeholders to understand business objectives, reporting needs, and data requirements.

• Communicate insights and recommendations effectively to senior leaders and operational teams.

• Act as a strategic partner, using data to support business growth and client success.

What you will need:

• 2+ years of experience in data analysis, insights, or a similar analytical role. Proficient in data visualization tools like Power BI, Tableau, or Looker. Knowledge of SQL for querying databases. Proven understanding of fundamental statistical analytical techniques (Process Analytical skills such as Six Sigma or Prince 2 would be advantageous)

• Experience with statistical programming languages such as Python or R is a plus.

• Ability to develop practical solutions based on outputs of data Familiarity with predictive analytics and machine learning techniques is a bonus.

• Excellent communication and storytelling skills to convey data insights to technical and non-technical audiences.

• Strong problem-solving skills and attention to detail.

• Microsoft application proficiency; in Excel and PowerPoint Understanding of our client’s systems, processes and best practice

Location:

Language Requirements:

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