Description:
We are looking for a Data Analyst who is passionate about analytics and using data to help drive business
decisions. You enjoy working with structured and/or unstructured data and are motivated to produce highly
actionable results. You are experienced in architecting data ETL workflows and schemas. Critical thinking and
problem-solving skills are essential for this role. You will collaborate closely with cross-functional teams,
including IT, BI, Risk and OPS, to ensure the efficient flow and availability of data throughout the organization.
Minimum requirements (Qualifications and Experience)
Degree in management information systems, finance, econometrics, statistics, or similar.
Demonstrable experience as a reporting analyst, preferably with client-facing experience
Experience working with SQL, Excel, Power BI, or other relevant tools.
Ability to create, update, and share databases.
Strong troubleshooting and report writing abilities.
Attentive and considerate team player
Cheetah System Knowledge (Advantage)
Required Minimum Work Experience
1-5 Years working experience performing daily administrative and business support activities in a back
office/shared services center environment.
Competencies Required
Microsoft Office i.e., Advanced Excel
Collections knowledge
Knowledge of the Cheetah system and data
MS SQL
Advanced Reporting and Analytical skills
Data and integration skills
Project management
Good numerical skills
Attention to detail.
Excellent interpersonal skills
Understanding processes and lifecycles
Commercial awareness
Team working skills.
Good oral and written communication skills
Self-motivation
Key Responsibilities
Data Analysis (40%)
Extracting of data from a SQL server relational database.
Advance SQL querying and reporting.
Manipulation and interpretation data from a SQL server relational database.
Conducting and supporting peer reviews to ensure data is fit for purpose with regards to the development
of Proof of Concepts, dashboards, and reports.
Acquiring and processing data from multiple sources and systems using SQL and data visualization tools
Interpret data, analyze results using statistical techniques and provide ongoing reports.
Locate and define new data process improvement opportunities.
Filter and “clean” data by reviewing reports, and performance indicators to locate and correct problems.
Administration (10%)
Ensuring that data flows through the various processes correctly
Recording and reporting on volumes of data flowing through the various data processes
Documenting existing data processes
Controlling and managing data documentation and reports generated
Client