Remote Senior Data Strategy Analyst

Placements24; Paarl; Hybrid; ZAR 600,000 - 1,100,000; Full time

Benefits offered by this job

Fully remote work

Professional development opportunities

Competitive salary and bonus

Comprehensive benefits package

Collaborative virtual team culture

Job summary

Placements24 is partnering with a leading management consultancy to recruit a Senior Business Analyst specializing in Data Strategy for a fully remote role. You will work with clients to define and implement data strategies that drive decisions and enable operational improvements.

Responsibilities include assessing data needs, developing governance and architecture roadmaps, defining data integration requirements, and creating KPIs.

Qualifications

• Bachelor's degree in a quantitative field is required.
• Minimum of 5 years as a Business/Data Analyst or Data Strategist.
• Experience in data governance and data strategy development.

Responsibilities

• Lead assessment of client data needs, landscape and objectives.
• Develop data strategies including governance, quality and architecture.
• Define requirements for data integration, warehousing and BI.
• Collaborate with stakeholders and technical teams remotely.
• Design data models, dictionaries and data flow diagrams.
• Advise on data privacy, security and compliance best practices.
• Develop KPIs and metrics to measure data strategy success.
• Prepare reports and presentations of data strategy findings.
• Stay updated on trends in data analytics, big data and AI.

Skills

Data governance

Data analysis

Stakeholder management

SQL

Data modeling

Education

Bachelor's degree in Computer Science

Master's degree preferred

Tools

Tableau

Power BI

Job description

Placements24 is partnering with a leading management consultancy to recruit a Senior Business Analyst specializing in Data Strategy for a fully remote role. You will work with clients to define and implement data strategies that drive decisions and enable operational improvements.

Responsibilities include assessing data needs, developing governance and architecture roadmaps, defining data integration requirements, and creating KPIs.