Senior Data Analyst Cape Winelands: Stellenbosch - Stellenbosch
Network IT
Reference: BIT002673-Cha-1 Our client is looking for a BI Data Analyst with experience in Google Looker and BigQuery to join their team. The ideal candidate will be responsible for analyzing complex data sets and creating insightful visualizations to help our organization make data-driven decisions. They will also work closely with stakeholders to understand their requirements and develop solutions that meet their needs. The ideal candidate must be analytically adept, self-driven, able to flourish in an unstructured management environment and have a passion for African business. Requirements 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, Rand 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. Excellent communication and presentation skills. Proficiency in Microsoft Excel and other data manipulation tools. Familiarity with data governance principles and best practices. Knowledge of data privacy regulations and compliance standards is a plus. Responsibilities Data Collection and Cleaning: Collect, extract, and compile data from various sources, ensuring data accuracy and completeness. 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. Data Analysis and Interpretation: Perform exploratory data analysis to identify trends, patterns, and relationships within the data. 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. Reporting and Visualization: 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 needs.
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