Remote Contract Data Analyst — SQL, Python & Dashboards

Placements24

Vereeniging

Hybrid

ZAR 207,000 - 358,000

Part time

3 days ago

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Benefits offered by this job

Remote work flexibility

Contract-based role

Opportunities to work on impactful, SA

Job summary

Placements24 is seeking a talented Data Analyst for a contract role based in Vereeniging, Gauteng, offering remote work. You will collect, clean, and analyze large datasets, develop statistical models, and create dashboards to support strategic decisions.

The ideal candidate has strong SQL, Python (Pandas/NumPy), or R skills, experience with Tableau or Power BI, and a solid foundation in statistics. Excellent communication and remote collaboration abilities are essential.

Qualifications

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
Proficiency in data manipulation and analysis using SQL, Python (Pandas, NumPy), or R.
Experience with data visualization tools such as Tableau, Power BI, or similar.
Strong understanding of statistical concepts and methods.
Excellent analytical and problem-solving skills with high accuracy.
Ability to communicate complex data findings to technical and non-technical audiences.
Experience with large datasets and databases.
Familiarity with data warehousing is a plus.

Responsibilities

Collect, clean, and preprocess data from various sources to ensure data integrity and accuracy.
Perform in-depth data analysis to identify trends, patterns, and correlations relevant to business objectives.
Develop and implement statistical models and algorithms to derive insights from complex datasets.
Create clear and compelling data visualizations, dashboards, and reports to communicate findings to stakeholders.
Collaborate with business units to understand their data needs and provide analytical support.
Identify opportunities for process improvement and data quality enhancements.
Monitor KPIs and provide regular performance reports.
Stay current with data analysis tools, techniques, and industry best practices.
Document data sources, methodologies, and analytical processes.
Present analytical findings and recommendations to management and relevant teams.