Hybrid Marketing Data Analyst - Growth & ROI Insights

Placements24

Pietermaritzburg

Hybrid

ZAR 360,000 - 480,000

Full time

5 days ago

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Benefits offered by this job

Health insurance

Retirement plans

Hybrid work model

Professional development

Job summary

Placements24 in Pietermaritzburg is seeking a Marketing Analyst to drive data-driven marketing strategy. You will collect, clean, and analyze data from website analytics, CRM, and campaigns to inform decisions and improve performance.

Develop dashboards, measure ROI, and run market research. You will forecast outcomes, analyze A/B tests, and present insights to stakeholders in a clear manner, supporting a hybrid work setup in KwaZulu-Natal.

Qualifications

Bachelor's degree in Marketing, Statistics, Economics, Data Science, or a related quantitative field.
Minimum of 4 years of experience in marketing analytics or a related analytical role.
Proficiency in data analysis and visualization tools such as Google Analytics, Tableau, Power BI, or similar.
Strong understanding of statistical analysis techniques and experimental design (e.g., A/B testing).
Experience with CRM systems (e.g., Salesforce) and marketing automation platforms.
Excellent analytical and problem-solving skills with a keen attention to detail.
Proficiency in SQL for data extraction and manipulation is highly desirable.
Strong communication and presentation skills, with the ability to translate complex data into actionable insights.
Ability to work independently and collaboratively in a hybrid work environment.
Experience in the financial services industry is a plus.

Responsibilities

Collect, clean, and analyze marketing data from various sources (e.g., website analytics, CRM, campaign reports).
Develop dashboards and reports to track key marketing performance indicators (KPIs) and campaign effectiveness.
Identify trends, patterns, and insights within marketing data to inform strategic decisions.
Measure and report on the ROI of marketing campaigns and initiatives.
Conduct market research and competitive analysis to understand market dynamics.
Develop predictive models to forecast marketing outcomes and customer behavior.
Collaborate with marketing teams to design and analyze A/B tests and other experiments.
Present findings and recommendations to marketing stakeholders in a clear and concise manner.
Stay updated on the latest trends and tools in marketing analytics and data science.
Ensure data accuracy and integrity across all marketing reporting.