Administrative Assistant (Remote) Entry-Level \ 0+ Years Experience

Job Description We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases. DATA ANAYLYST RESPONSIBILITIES: Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analyses. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. DATA ANAYLYST REQUIREMENTS: Bachelor’s degree from an accredited university or college in computer science. Work experience as a data analyst or in a related field. Ability to work with stakeholders to assess potential risks. Ability to analyze existing tools and databases and provide software solution recommendations. Ability to translate business requirements into nontechnical, lay terms. High-level experience in methodologies and processes for managing large-scale databases. High-level written and verbal communication skills. Apply for this Data Analyst Remote | Full Time Or Part Time | No Experience Required position

Job title : Data Analyst Job Location : Ogun Deadline : September 30, 2026 Quick Recommended Links • Jobs by Location • Job by industries • Career Advice ROLE SUMMARY The purpose of this role is to collect, clean, and interpret data to support business strategy and decision-making. The data sources include internal sales data as well as external data obtained from marketing intelligence agencies, price surveys, product surveys, and other relevant sources. KEY RESPONSIBILITIES • Identify data requirements and acquire data from primary and secondary sources for reporting and descriptive analytics. • Filter and clean data by reviewing datasets to identify anomalies, inconsistencies, and outliers. • Interpret data, analyze results using appropriate analytical techniques, and prepare regular reports. • Identify, analyze, and interpret trends and patterns in complex datasets. • Collaborate with management to prioritize business and information needs. • Automate existing management reports to improve the speed and accuracy of converting raw data into actionable business insights. • Monitor and analyze business performance against budget. • Conduct product performance analysis. • Conduct channel performance analysis by product. • Conduct regional performance analysis by product. • Support the maintenance and continuous improvement of the data warehouse. • Acquire data from primary and secondary sources and maintain databases. • Provide management with relevant data and insights to support business and information priorities. • Support managers in analyzing relevant data to drive business improvement. • Analyze data obtained from scientific and national conferences to identify trends, generate insights, and provide recommendations. • Analyze data relating to retail pharmacy operations and provide actionable insights for business improvement. QUALIFICATIONS & EXPERIENCE • B.Sc./HND in Business Administration, Statistics, Computer Science, Data Science, Economics, Mathematics, or a related field. • An MBA in Sales, Marketing, Business Administration, or a related discipline will be an added advantage. • Minimum of three (3) years of relevant experience in data analysis or business analytics. • Proficient in data visualisation, story telling and trend analysis • Proficiency in other data analysis KEY COMPETENCIES • Strong proficiency in Microsoft Office Suite, particularly Microsoft Excel. • Proficiency in Excel and data analysis tools (e.g., Power BI, SQL, Tableau, or similar applications). • Strong report-writing and data presentation skills. • Excellent analytical and problem-solving skills. • Strong communication and interpersonal skills. • High attention to detail and accuracy. WHAT WE OFFER • Competitive salary and performance-based bonuses. • A supportive and dynamic work environment with clear career growth opportunities. • Comprehensive medical insurance, pension, and other employee benefits.