• Application Deadline: Wed, 20 Mar 2024 00:00:00 GMT
• Position: Data Analyst


• Job Type Full Time


• Qualification BA/BSc/HND , MBA/MSc/MA


• Experience


• Location Lagos


• Job Field Data, Business Analysis and AI 
  

Job Description

• This role is for an experienced Data Analyst who will play crucial role in analyzing, visualizing, and delivering data-driven insights using tools like Google Looker Studio, Zoho Analytics, Power BI, and others.


• The candidate will collaborate with cross-functional teams to gather data requirements, develop interactive dashboards, and provide actionable recommendations to support data-informed decision-making.


• The Candidate’s expertise in data visualization and MIS will contribute to the organization's success in leveraging data for strategic initiatives.

Duties and Responsibilities

• Collaborate with cross-functional teams to automate data workflows and ensure seamless data flow between different systems.


• Ensure data accuracy, completeness, and quality in all dashboards and reports through thorough data validation and data cleansing techniques.


• Design and develop data models and data schemas to support efficient data analysis and reporting processes.


• Conduct data analysis to identify trends, patterns, and actionable insights that drive business decisions and strategic initiatives.


• Monitor the performance and availability of all data dashboards, striving for 100% uptime and quick issue resolution.


• Provide timely delivery of all reports and dashboards, adhering to deadlines and maintaining report accuracy.


• Identify opportunities for process automation and optimization within data analysis and reporting workflows.

Requirements

• Bachelor's Degree in Computer Science, Data Science, Statistics, or a related field.


• Post Graduate Degree (MBA, M.Sc., etc.) an added advantage


• Certifications will be an added advantage


• Proven experience as a Data Analyst or Business Analyst, with hands-on experience using Google Looker Studio, Zoho Analytics, Power BI, or similar data visualization tools.


• Strong proficiency in SQL for data querying, manipulation, and data validation.


• Familiarity with data warehousing concepts, data modelling, and ETL processes.


• Excellent data visualization skills with a track record of creating insightful dashboards.


• Strong analytical and problem-solving abilities with a keen attention to detail.


• Effective communication and collaboration skills to work closely with cross-functional teams.