Senior Data Analyst - Umhlanga at iKhokha

Job Description

Ready to revolutionize the fintech industry with your data prowess? Look no further! We're searching for an experienced Senior Data Analyst to join our dynamic team. If you're passionate about unravelling insights from data and driving impactful decisions, we want to hear from you. Apply now and be part of our innovative journey! 

So, what will you do?  

You will be responsible for analysing and interpreting complex data sets to derive meaningful insights. This role involves working closely with stakeholders to understand business requirements, business problems, developing data models, and providing actionable recommendations. The role also utilizes statistical analysis and data visualization techniques to present findings and collaborates with cross-functional teams to optimize business processes. 

In addition to the above, you will: 

Data Strategy:  

• Execute and deliver against iKhokha’ s data strategy aligned with organizational goals. 
• Recommend improvements in data collection, storage, and processing. 

Advanced Analysis and Quality: 

• Conduct complex data analysis, insights and value based outputs. 
• Provide insights into trends, patterns, and outliers in the data 
• Data Quality management 

Mentoring and Training: 

• Mentor junior analysts and Co-workers and provide guidance on data analysis techniques. 
• Conduct training sessions to enhance skills with business 

Dashboard and Report Design: 

• Design comprehensive dashboards and reports for key stakeholders. 
• Ensure the effective/Efficient communication of insights through visualizations. 

Collaboration with Stakeholders: 

• Collaborate with various stakeholders, including business managers, domain experts, and IT teams. They need to effectively communicate technical concepts, present and translating their findings into Business insights, and understand the requirements and objectives of the stakeholders. 

Qualifications

• BSc Applied Mathematics / Statistics or Data Science or BCOM Informatics / Computer Science. 
• Excel and Power BI certifications are preferable 

Deal breakers: 

• 5-7 years’ experience in a Data Analyst Role. 
• Must have experience working directly with Data teams (Including BI analysts, Data Analysts, Data engineers and Business Analysts) and have good exposure to various business functions.(Operations, Marketing, Sales, Finance). 
• Expert Level in Excel. 
• Competent in building data models in PowerBI. 
• Competent in SQL Queries, views, stored procedures & Python. 
• Has experience in working in Agile Environments.(Scrum | Kanban) and previously worked in a data warehouse environment.  

Additional Skills & Knowledge: 

• Solid Experience in Data wrangling, Data Cleaning and Data Visualization. 
• Previous industry experience in Financial services and / or Data Analysis| analytics environment would be an advantage. 
• Good understanding of the Data Analysis Landscape and techniques. 
• Good understanding of how SLDC works in a Data driven environment. 
• General Knowledge of the DMBOK framework would be advantageous. 
• Excellent Statistical Analysis and mathematics skills, Solid understanding of Mathematical foundations. 
• Problem solving and critical thinking ability none-negotiable. 
• Attention to detail and quality none negotiable. 
• Must be able to constantly engage business on all levels – Mandatory as this isn’t a back office role, it requires significant engagement with business to identify problems and solve them. 
• Participation and active engagement in the defined internal processes.(SDLC). 
• Must have experience in various Data Governance Functions, Such as Data Quality. 

Business Understanding:  

• A good understanding of how various functional areas within a business work: Sales | Marketing | Finance | HR | Logistics | Operations. 
• A good understanding of how card transactions and the online payment industry works. 
• A very good understanding of the Data and product management domain