Senior Data Analyst
Salary: R65 000 - R70 000
Based: Hybrid - Durban and Johannesburg
A great opportunity for a Senior Data Analyst (Hybrid) to join a growing Consulting company. You will be responsible for working closely with clients from various industries to understand their data needs, gather requirements, analyse data, and deliver effective data visualizations and reports. The ideal candidate will need to have strong analytical skills, proficiency in data manipulation and visualization tools.
- Client Engagement: Collaborate with clients to understand their business objectives, data challenges, and requirements for data analysis and reporting
- Data Collection and Preparation: Gather, clean, and prepare data from various sources, ensuring data quality and accuracy for analysis
- Data Analysis: Utilize statistical and analytical methods to examine large datasets, identify trends, patterns, and correlations
- Data Visualization: Create compelling and interactive data visualizations, dashboards, and reports using data visualization tools in Power BI/Qlik to effectively communicate with clients and stakeholders
- Data Storytelling: Present analysis findings in a clear and concise manner, translating complex data into actionable recommendations for clients
- Predictive Analytics: Apply predictive modelling and machine learning techniques to forecast trends, predict outcomes, and support data-driven decision-making
- Business Intelligence Solutions: Design and implement business intelligence solutions that empower clients to monitor key performance indicators (KPIs) and track progress towards their business goals
- Data Strategy and Consulting: Provide data-driven recommendations and strategic guidance to clients, helping them unlock the full potential of their data assets
- Continuous Improvement: Stay up to date with the latest trends and advancements in data analytics, data visualization, and business intelligence technologies
- Client Support and Training: Offer post-implementation support to clients, assist with any data-related queries, and provide training sessions to enable self-service analytics
- Bachelor’s degree in data science, Statistics, Computer Science, Information Systems, or a related field
- Proven experience (5 years) as a Data Analyst, Business Intelligence Analyst, or Data Analytics Consultant
- Proficiency in data manipulation, cleansing, and analysis using tools like SQL
- Strong knowledge of data visualization tools (Power BI or Qlik preferred) and the ability to create visually appealing dashboards and reports
- Familiarity with statistical analysis, predictive modelling, and machine learning techniques
- Experience in consulting or client-facing roles, working on data analytics projects for external clients
- Familiarity with cloud-based data analytics platforms (e.g., AWS, Azure, Google Cloud, Qlik Sense SaaS)
- Knowledge of data governance and data security best practices
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