Data Analyst
Network Recruitment
- Stellenbosch, Western Cape Cape Winelands, Western Cape
- Permanent
- Full-time
- Bachelor's or master's degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Data
- Analytics/Science).
- Proven experience as a Data Analyst or similar role win min experience of 3+ years
- Proficiency in data analysis tools GCP (Google Cloud Platform), Google Big Query, SAS, SQL, Python, R
- and data visualization tools Google Looker.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Ability to handle and analyse large datasets efficiently.
- Experience with statistical analysis techniques and data modelling.
Data Collection and Cleaning:
- Collect, extract, and compile data from various sources, ensuring data accuracy and
- Clean and transform raw data into structured datasets for analysis.
- Identify and resolve data quality issues, inconsistencies, and anomalies.
- Utilizing the technologies of SQL, SAS, Python and Big Query, while staying up-to-date with
- latest trends and developments in data analytics.
- Perform exploratory data analysis to identify trends, patterns, and relationships within the
- Apply statistical techniques and data visualization methods to interpret and present findings.
- Analyse large and complex datasets to derive actionable insights and recommendations.
- Collaborate with stakeholders to understand business requirements and translate them into
- analytical approaches.
- Create visualizations, dashboards, and reports to effectively communicate data insights to
- stakeholders with help of Google Looker.
- Develop and maintain standardized reporting templates and data visualization tools.
- Present findings in a clear and concise manner, tailoring the information to the audience's
- Collaborate with cross-functional teams to support data-driven decision-making processes.
- Provide analytical support for business initiatives, including market analysis, customer
- segmentation, and performance tracking.
- Identify opportunities for process improvement, operational efficiencies, and revenue
- optimization based on data analysis.
- Ensure compliance with data governance policies, data protection regulations, and security
- Adhere to data privacy and confidentiality standards when handling sensitive information.
- Contribute to the development and maintenance of data dictionaries and data
- Stay updated with industry trends, best practices, and emerging technologies in data analysis.
- Expand knowledge of statistical analysis techniques, data modelling, and data visualization
- Participate in training programs, workshops, and professional development opportunities