Senior Data Analyst Job at Onafriq
Onafriq is an omnichannel network of networks, making borders matter less by providing our partners with a single pathway to unlock the full power of cross-border and cross-platform payment solutions.
With a network spanning 40 African markets, Onafriq connects over 500 million mobile money wallets, 200 million bank accounts, and 300,000 agents in Nigeria, enabling domestic and cross-border disbursements and collections, card issuing and processing, agency banking, and treasury services.
We are recruiting to fill the position below:
Job Position: Senior Data Analyst
Job Location: Lagos
Employment Type: Permanent
Department: Partner Support: Agency Services
The Role
- We are recruiting a Senior Data Analyst to join the Baxi Analytic team, who will be responsible for Data reporting and analytics.
- As a core member of the team, the Senior Data Analyst will report to the V.P Operations/Head of internal Operations and work closely with relevant key stakeholders.
- We are seeking candidates with four to six years of experience as a Senior Data analyst.
- The successful candidate must be passionate about his job, proficiency in the use of analytical tool; Excel, SQL, Python, Tableau, Power BI, R programming language, exceptional communication skills, high EQ, strong organization skills, and be comfortable working in a dynamic, fast-paced environment etc. Success in this role will require someone who is smart and diligent.
Duties and Responsibilities
- Collecting data from various sources.
- Using statistical tools to identify, analyse, clean, and prepare data in complex data sets.
- Visual data representation and graphical display of analyzed data.
- Developing and maintaining databases and data systems – reorganizing data in a visual / readable format as requested.
- Streamlining data collection methods to create automated and easy-to-use routines.
- Preparing reports for the management stating trends, patterns, and predictions using relevant data
- Working with programmers, engineers, stakeholders, and management heads to identify process improvement opportunities, reporting, trends, patterns, activities, and predictions using relevant data and structural data, enabling them to take important decisions.
- Generally, upload the values of the Company.
Requirements
The ideal candidate will have the following qualifications and experience:
- Bachelor’s Degree Statistics or in a relevant field.
- 4 to 6 years of Experience as a data analyst.
- IBM Data Analyst Professional certificate.
- Microsoft Certified: Power BI Data Analyst.
- AWS Certified Data Analytics.
- Microsoft Excel Professional certificate.
- Experience working in fin/tech a plus.
Desired skills:
- Clearly conveying findings, both written and orally, to non-technical stakeholders. This includes creating reports and presentations that give insights from the data.
- Critical thinking: The ability to approach problems logically and make informed decisions based on the data.
- Able to work in a complex, high paced environment, and handle ambiguity effectively.
- Coming up with solutions to business problems using data-driven approaches.
- Attention to details; Ensuring accuracy in data analysis and recognizing anomalies or errors in data.
You will be a good fit if you are:
- A trusted confidant with strong emotional intelligence who can build relationships quickly and understand the perspective of others.
- A great listener and strong communicator across diverse stakeholder groups
- A diligent closer with dedicated and timely follow-through
- Able to manage and deliver on multiple work streams simultaneously whilst ensuring that their work product is of a high standard.
- Able to drill down into the detail, as well as pull back and see the bigger picture
- Ready to take on new types of work without prior experience or direct supervision
- Motivated by the growth of others
- An excellent relationship builder who can effectively handle conflict when it arises
- Comfortable with ambiguity and can operate effectively in a fast-paced and changing environment.
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