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Customer Insight Analyst

Smollan

Eersterivier

On-site

ZAR 30 000 - 60 000

Full time

19 days ago

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Job summary

An established industry player is seeking a skilled Data Analyst to drive insights and improve execution across business units. This role involves delivering customer analysis, utilizing external data sources, and applying market research techniques to support strategic decision-making. The ideal candidate will excel in stakeholder communication and possess a strong understanding of KPI metrics. Join a dynamic team where your analytical expertise will contribute to operational excellence and client satisfaction, making a tangible impact on the business's growth and success.

Qualifications

  • Strong analytical skills with experience in data mining and statistical analysis.
  • Ability to communicate complex insights to stakeholders effectively.

Responsibilities

  • Utilize external data to identify insights and trends for decision making.
  • Collaborate with stakeholders to implement data-driven actions.

Skills

Data Analysis
Market Research
Stakeholder Communication
KPI Understanding
SAS
SQL
Data Mining
Statistical Techniques

Education

Bachelor's Degree in Business or Data Science

Tools

SAS
SQL
Business Intelligence Platforms

Job description

Responsible for defining and executing insights within the business, understanding internal and external sources of information to ensure value creation and improved execution for the business unit. This role involves delivering customer analysis across business units to support decision making, strategy development, and tactical delivery.

Key Responsibilities and Deliverables :

Effective Analysis and Reporting

  • Utilise external data sources to highlight insights and trends.
  • Apply standard market research processes or techniques to analyse data findings.
  • Ensure understanding of the market and how to utilise its data in report analysis.
  • Maintain regular communication with stakeholders.
  • Understand KPI metrics and their interrelations.
  • Evaluate reports, interpret outcomes, and advise accordingly.
  • Use KPIs to identify root causes of underperformance or gaps.
  • Make recommendations for solutions.
  • Collaborate with stakeholders to agree on actions.
  • Ensure stakeholders are informed and updated.
  • Familiarity with data mining and statistical techniques, including linear and logistical regression.
  • Proficiency in SAS, SQL, or equivalent tools.
  • Support self-service models when required.
  • Have a good understanding of data flow processes.

Drive Actions to Completion

  • Communicate actions to relevant stakeholders.
  • Implement changes in consultation with others.
  • Hold individuals accountable for resolutions of agreed actions.
  • Monitor progress and push for action when necessary.
  • Utilise scorecards to highlight required actions.
  • Present targets and publish scorecards.
  • Stay informed on competitors’ practices and external influences, incorporating this into presentations and recommendations.
  • Ensure the Business Intelligence Platform performs adequately, especially response times.
  • Develop a thorough understanding of customer data to maximize insights beyond simple reporting.
  • Understand business unit requirements and advise on the best data and tools to meet these needs.
  • Investigate necessary data to achieve business outcomes.
  • Recommend and implement data modelling solutions to meet requirements.

Facilitate Operational Excellence and Client Satisfaction

  • Meet stakeholder expectations.
  • Engage with operational teams to support excellence.
  • Support operational actions derived from insights.

Effective teamwork and self-management

  • Maintain high personal quality and productivity standards.
  • Follow internal procedures consistently.
  • Plan and prioritise effectively, managing competing demands.
  • Anticipate and manage change.
  • Balance personal objectives with organisational needs flexibly.
  • Stay updated on technical and industry changes for personal development.
  • Work effectively with the IT and BI teams.

Value and Cost Saving

  • Utilise syndicated and other data sources to identify insights, create opportunities, and deliver solutions that drive profitable sales growth.
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