Senior Data Analyst in a Loan and Credit Institution

Pivotage Consulting – Our client, a full-service Loan, and a Credit institution are currently recruiting suitably qualified candidates to fill the position below:

Job Title: Senior Data Analyst

Job Code: MIM / 1927 / SDA
Location: Victoria Island, Lagos
Type: Full Time

Role Overview

• We are looking for someone with strong business acumen, as well as an ability to communicate findings, and mine vast amounts of data for useful insights
• Do you have the technical prowess to build tools which will help us automate lending decisions and develop reporting dashboards that will be helpful in effectively overseeing the business?
• Can you use a combined knowledge of computer science and applications, modelling, statistics, analytics and maths to solve problems and find areas of potential growth?

Job Responsibilities

• Recruiting, training and leading a team of data scientists.
• Using machine learning tools and statistical techniques to produce solutions to problems.
• Testing data mining models to select the most appropriate ones for use on a project.
• Maintaining clear and coherent communication, both verbal and written, to understand data needs and report results.
• Creating clear reports that tell compelling stories about how customers or clients work with the business.
• Assessing the effectiveness of data sources and data-gathering techniques and improve data collection methods.
• Conducting research from which you’ll develop prototypes and proof of concepts.
• Looking for opportunities to use insights/datasets/code/models across other functions in the organization (for example in the collections and marketing departments).
• Managing company’s data science strategy.
• Establishing new systems and processes and look for opportunities to improve the flow of data.
• Evaluating new and emerging technologies.
• Representing the company at external events and conferences.
• Building and developing relationships with clients.
• Working closely with stakeholders to identify issues and use data to propose solutions for effective decision-making.
• Building algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organization.
• Staying curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

Other Duties:

• Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job
• Duties, responsibilities and activities may change at any time with or without notice.

Job Qualifications & Competencies

• Prior experience in a Loans and Facilities company is required.
• A Bachelor’s Degree level in STEM (e.g. Statistics, Maths, Business Administration, Physics, Engineering or Computer Science).
• Qualification: a postgraduate qualification in big data or business/data analytics or data science.
• Good verbal and written communication skills in English.
• Extensive experience with data warehouse reporting systems using Power BI report writing.
• Advanced skills in Excel.
• Strong mathematical skills, with the ability to organize, analyse and disseminate large volumes of data with a high focus on attention to detail and accuracy.
• Good interpersonal skills with the ability to collaborate effectively.
• Solid MSSQL experience:
  • 2016 or above
  • T-SQL
  • Tabular model cubes / DAX language
• An analytical mindset.
• Data modelling.
• Machine Learning (ML) and Artificial Intelligence(AI).
• Excellent presentation skills.
• Relevant work experience, with a focus on business analysis.
• Experience in working within the financial industry.
• Able to manage a body of work with shifting priorities.
• Professional curiosity.

Deadline: 30th June, 2020.

Method of Application
Interested and qualified candidates should send their CV (MS Word Format) to: recruitment@pivotageconsulting.com using “Senior Data Analyst” as the subject of the mail.

Note: Please ensure CVs are in MS Word format only.