Senior Data Analyst
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New
Job summary
This role will be instrumental in driving business performance across all regions by delivering actionable insights, enhancing reporting capabilities, and improving data accuracy and accessibility.
Min Qualification:
Bachelors
Language Requirement:
English
Working Hours:
Full Time - 8 to 5
Applicant Location:
Kenya
Job descriptions & requirements
Department: Data & Analytics
Reports To: MD
Role Overview:
Our client is seeking a highly analytical and detail-oriented Senior Data Analyst to support their transition into a data-driven marketplace group. This role will be instrumental in driving business performance across all regions by delivering actionable insights, enhancing reporting capabilities, and improving data accuracy and accessibility.
Key Responsibilities:
● Design, develop, and maintain Business Intelligence (BI) dashboards across multiple platforms to support real-time decision-making.
● Build and implement robust reporting and analytics frameworks to track and evaluate overall business performance.
● Improve lead tracking systems, attribution models, and conversion analysis to enhance marketing and sales effectiveness.
● Provide data-driven insights to support pricing strategies, sales optimization, and marketing initiatives.
● Implement and continuously improve SEO performance tracking and digital analytics tools to measure online visibility and engagement.
● Collaborate cross-functionally with teams including Sales, Marketing, Operations, and Finance to ensure data accuracy, consistency, and usability.
● Identify trends, patterns, and opportunities for growth through data analysis and reporting.
● Ensure data integrity by establishing best practices in data collection, validation, and reporting processes.
Key Requirements:
● Bachelor’s degree in Data Science, Statistics, Economics, Business Analytics, or a related field.
● Proven experience in Business Intelligence, Data Analytics, or a similar role.
● Strong proficiency in BI tools (e.g., Power BI, Tableau, or similar) and data visualization techniques.
● Experience with analytics platforms such as Google Analytics and SEO tools.
● Strong understanding of data modeling, data warehousing, and reporting frameworks.
● Advanced proficiency in Excel and/or SQL; knowledge of Python or R is an added advantage.
● Strong analytical thinking, problem-solving skills, and attention to detail.
● Excellent communication skills with the ability to translate data into actionable insights for non-technical stakeholders.
Key Competencies:
● Data-driven decision making
● Strategic thinking
● Cross-functional collaboration
● Attention to detail
● Continuous improvement mindset
Why This Role Matters:
This role is critical in enabling the organization to leverage data effectively, optimize performance, and drive growth across all regions. The successful candidate will play a key role in shaping data strategy and fostering a culture of data-driven decision-making.
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