Business Data Analyst

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 System and Integration Support (10%)

Support in system integration and data mappings for new client take-on

Act as business analyst for data requirements and management between clients and IT

Provide support on data queries relating to integration.

Work with management to prioritize business and information needs.

Respond to inquiries and requests for information from stakeholders in a timely manner.

Support interfaces with external clients’ systems such as CAS, Vision, FutureSoft, Tallyman etc.

Reporting (40% )

Build reporting, data analytics, and other strategies that optimize statistical efficiency and quality to

support the business.

Identify, analyze, and interpret trends or patterns in complex data sets.

Developing and testing data models to capture client’s KPIs and data transformations.

Working closely with IT, internal stakeholders, and SMEs to interpret data requirements, identify

solutions in relation to data management, and recommend technical solutions on data elements to

support business decisions.

Assisting with the establishment and ongoing review and refinement of the data governance policy(s)

and / or management such as data ownership, master data management and metadata management

Generating management information reports as and when required

Interpreting the validity and integrity of reports produced before distribution

Submitting code on a regular basis to produce predefined extracts and reports

Recommending improvements regarding code where possible in order to improve the process

Prepare and produce ad-hoc reports as and when required