Data Analyst in a Fintech Company

Sunrose Consulting Limited - Our client, a technology provider in the financial sector, is recruiting to fill the position below:

Job Title: Data Analyst

Location: Lagos
Employment Type: Full-time

Job Description

• The successful candidates will interpret the information in databases and help upper-level management make informed decisions regarding business goals.

Responsibilities

• Use automated tools to extract data from primary and secondary sources
• Develop and maintain databases, data systems – reorganizing data in a readable format
• Perform analysis to assess quality and meaning of data
• Comply with data integrity and security policies
• Use statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
• Assign numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
• Analyze local, national, and global trends that impact both the company and the industry
• Prepare reports for stating trends, patterns, and predictions using relevant data.
• Filter data by reviewing reports and performance indicators to identify and correct code problems
• Establish data entry standards by continually updating filing systems to improve data quality.
• Adhere to best data management practices and maintain a high standard of accuracy and efficiency.
• Compile, verify accuracy and sort information according to priorities to prepare source data for computer entry
• Generate reports, store completed work in designated locations and perform backup operations

Requirements

• Interested candidates should possess an OND / N.C.E / HND / B.Sc Degree with at least 2 years relevant work experience.
• Have strong mathematical skills to help collect, measure, organize and analyze data
• Typing speed and accuracy
• Excellent knowledge of correct spelling, grammar and punctuation
• Organisation skills, with an ability to stay focused on assigned tasks
• Be a problem solver
• Have an eye for detail
• Adept at queries, writing reports, and making presentations
• Have proven working experience in data analysis.
• Be proficient in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analyzing
• Have technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
• Have the ability to perform repetitive tasks with a high degree of accuracy.
• Be adept at using data processing platforms and data visualization softwares
• Know how to create and apply the most accurate algorithms to datasets in order to find solutions

How to Apply
Interested and qualified candidates should send their Applications & CV to: [email protected] using the Job Title as the subject of the mail

Application Deadline  22nd June, 2022.