Purpose:

With the supervision of the Data Analyst and R&A Lead, interpret data and turns it into actionable insights which can offer clients ways to improve their business, thus affecting their business decisions

Requirements:

• Microsoft office/365
• Modelling Packages (Python, Tensor Flow, Scala ext.)
• Data Pipeline Development (SQL, Data Factory, Azure Synapse)
• Statistical Software Package (Statistica /SPSS, Orange)
• Basic BI Packages (Advantageous)
• Client Centricity.
• Unquestionable integrity
• Ability to manage a constructive balance between Subject Matter Expertise and overall project
• management and delivery.
• Ability to work collaboratively
• Ability to present to, and interact with senior stakeholders and related platforms within high value clients.
• A competitive mind set and adventurous attitude to build new research capabilities and solutions
• Project Management skills
• Building reports on varied platforms including PowerPoint, and digital reporting platforms
• Willingness to teach, mentor and grow emerging talent.
• Business acumen
• Results-driven
• Problem solving / Analysis
• Decision-making capabilities
• Negotiation skills
• Communication proficiency – excellent proposal and report writing

Duties:

• In collaboration with different teams support in:
  • Statistical Analys (Significance Testing, T-test/Regression analysis/Reliability & Validity/Correspondence maps/Segmentation)
  • Analysing and interpreting of qualitative and quantitative data to identify patterns and
  • solutions
  • Reporting of deliverables, contribute to insights gathering and in-depth insights &
  • recommendations
  • Model Development (Decision Trees, Neural Networks ext.)
  • Industry knowledge to stay informed on current and emerging trends and developments and
  • incorporate them into projects.
  • Sample Design
  • Research methodologies (Quantative & Qualitive) – optional
  • Customer Experience Knowledge (Principles, CX Models ext.) – Optional
  • Review storyline development – optional
  • Principles of weighting (Data) – optional
• Support the team in effective data management, analysis and reporting.
• Support requests for proposals and applying fit-for-purpose Market Research proposals
• Support the team to ensures resource and project effectiveness and profitability.
• Support the team with analytical operations to correct discrepancies and ensure quality.
• Extract reports from multiple sources (e.g. operations, ICT, customer feedback).
• Ensure that systems and processes are in place in the handling of data with integrity and in accordance with the relevant Acts and regulations.
• Ensure that systems and processes are in place to transform data into actionable business insights.
• Apply industry knowledge to interpret data and improve business performance.
• Keep abreast of industry news and trends.