At TeamAce, we help businesses across different industries thrive. We work with businesses to create their desired change by getting the right people, designing bespoke business processes, leveraging data, applying insights and technology. We combine our expertise and take different bespoke approaches to solve different business challenges because we believe there is no one size fits all approach. This way, you keep your eyes on the prize and thrive.
Job Summary
As our data analyst, you will be responsible for setting up a comprehensive data analytics methodology. This role is critical to ensuring that the company can effectively collect, analyze, and utilize data to enhance customer experiences, optimize operations, and drive business growth. The successful candidate will work closely with the management team to establish the necessary data configurations and provide training for ongoing use.
Responsibilities
- Develop and implement a strategy for gathering essential customer data and metrics for service data (bookings and completed services), and operational data across our outlets and contact channels including social media, WhatsApp etc.
- Configure data collection tools and systems (such as Power BI or Excel) to ensure seamless and efficient data gathering and reporting.
- Analyze collected data to identify key trends, customer behaviours, and business opportunities. Provide actionable insights to support strategic decisions.
- Create intuitive dashboards and visualizations in Power BI or Excel to enable management to easily interpret and use the data.
- Provide training to the management team and relevant staff on how to use the analytics tools and dashboards effectively. Ensure a smooth transition of the analytics framework for ongoing use.
Requirements
- Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
- Minimum of 2 years of experience in data analysis, preferably within the retail, beauty, or service industry.
- Proficient in Power BI, Excel, and data visualization tools. Strong understanding of data collection methodologies and analytics best practices..
- Ability to translate complex data into actionable business insights.
Salary
N300,000 Gross
Method of Application
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