8 Excel jobs in South Africa

WatersEdge Solutions is looking for a Power Query Developer (Excel Specialist) to join a high-impact, remote-first team supporting a leading US healthcare organisation. This role is ideal for an Excel expert with a sharp eye for detail, deep knowledge of Power Query and M Language, and a drive to build smart, automated dashboards.

About the Role

You’ll focus on delivering precision-driven, customised Excel-based solutions using Power Query and M Language. The role also involves KPI dashboard design, automation, and reporting optimisation that supports data-led decision-making across the business. You’ll work closely with cross-functional teams and operate in a fully remote capacity on USA EST hours.

Key Responsibilities

• Develop and optimise advanced Power Query solutions using M Language, primarily in Excel

• Design and implement automated KPI dashboards for reporting efficiency

• Collaborate with teams to gather requirements and create tailored Excel-based solutions

• Ensure accuracy, consistency, and integrity of data across reports and dashboards

What You’ll Bring

• Extensive experience in Power Query and M Language development, specifically in Excel

• Strong Excel expertise with automation, dashboard creation, and Power Query use

• Proficiency in DAX and familiarity with Power BI (advantageous)

• Strong dashboard and report design capabilities

• Excellent written English and communication skills

• Highly organised with great attention to detail

• Strong time management and prioritisation in a fast-paced environment

• A collaborative and solutions-oriented mindset

Nice to Have

• Experience designing visually impactful dashboards

• Familiarity with broader data tools and automation platforms

What’s On Offer

• Remote working role for South African professionals

• USA working hours: 15h00 – 24h00 SAST (subject to daylight saving adjustments)

• Meaningful work supporting healthcare operations with data automation

• Requires fixed fibre internet (min 25 Mbps upload/download) and reliable power backup (UPS or solar)

Company Culture

WatersEdge Solutions partners with leading global businesses to deliver expert talent across technical and operations roles. We cultivate a culture of excellence, innovation, and flexibility—empowering professionals to contribute meaningfully from anywhere.

If you have not been contacted within 10 working days, please consider your application unsuccessful.

DATA SCIENTIST/ANALYST to assist in the development of new AI offerings, monitoring of existing products and supporting client queries.

This role requires a proactive personality, extremely analytical mind-set, attention to detail, and excellent time management and communication skills. Generate outputs to give analytical and quantitative insights to business to make improved operational, tactical, and strategic decisions.

The role will entail working under pressure to deliver tasks. The candidate will be responsible for managing the entire deliverable: from spec gathering, data collection, data cleaning and manipulation, model creation, analysis, and presentation of clients.

• Develop and drive company vision and innovations within the AI/ML space.
• Boost effectiveness and performance, stay up to date with the newest tools, trends, and technologies.
• Extraction, cleansing, and validating of data to be used for analysis.
• Translate Business Strategies into actionable goals and execute relevant BI projects / BI initiatives aligned to strategic objectives with specific performance measures and control systems to track progress.
• Extract data from various sources and convert it into meaningful information that can enhance the effectiveness of business decisions.
• Involvement in new projects, design and develop Business Intelligence solutions in line with business requirements and service ad-hoc requests for information from clients within the required timeframe and specification.

Ability to confidently present findings to senior business stakeholders.

• Relevant IT Degree / Diploma
• Strong background in statistics, machine learning and deep learning
• Ability to handle, interpret and analyze data efficiently.
• Proficiency in T-SQL, R, Python, Excel.
• Ability to work in a high-pressure environment with a quick turnaround time to meet client expectations.

• Your area of responsibility includes the independent analysis, maintenance, control, and correction of master data in the relevant systems.
• Maintain Master Data mainly for all The Company`s TMS & other global applications.
• Data preparation using Excel and continuous assurance of data quality.
• Enforce established data standards and guidelines.
• Accurate control and ensuring rapid clarification in the event of discrepancies.
• Create analysis and reports as needed.
• Design and optimization of master data processes, preparing MDM documents/SOPs.
• Internal contact person for master data specific questions.

Requirements:

• Matric or Senior Certification equivalent
• Working knowledge of ERP modules.
• Experience of working as offshore service providers would be an advantage.
• Independent, structured, prospective, and solution-oriented way of working
• English language skills as well as the confident handling of MS-Office, especially Excel

Data entry specialists are responsible for digitizing data for storage purposes. They work in the administrative department of a company and their duties include collecting client information, maintaining an organized filing system, and reviewing data for completeness and accuracy.

We are looking to hire a dynamic data entry specialist to join our company's administrative department. In this role, you'll be responsible for entering client information into our electronic storage system, updating existing entries, and organizing hard copies of information appropriately.

To ensure success as a data entry specialist, you should display impeccable organizational skills and experience working with a variety of databases. Ultimately, a top-notch data entry specialist should have a razor-sharp eye for detail and excellent knowledge of data management.

• Collecting and digitizing data such as invoices, canceled bills, client information, and financial statements.
• Maintaining a detailed and organized storage system to ensure data entries are complete and accurate.
• Keeping a record of hard copy data such as invoices, inventory checklists, and other financial documents.
• Establishing data entry standards by continually updating filing systems to improve data quality.
• Addressing data inconsistencies by working with administrative staff to locate missing data.
• Attending to data queries and reporting any major data errors to management.
• Adhering to best data management practices and maintaining a high standard of accuracy and efficiency.

• A high school diploma or GED.
• At least 1 year of experience working as a data entry specialist.
• Excellent knowledge of data entry software, such as Ninox, Kintone, and OmPrompt Order Management.
• Exceptional organizational skills, a keen eye for detail, and the ability to spot errors with accuracy and efficiency.
• Good communication skills and the ability to collaborate with staff members.
• Solid time management skills and the ability to prioritize tasks.
• Excellent typing skills and experience working with Windows, Microsoft Office, and Google Suite.

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About Us:

Outsourced is a leading Philippines outsourcing company providing dedicated remote staff and offshore staffing services. We specialise in providing staff of the highest quality who will continue to exceed your expectations and provide benchmark offshore solutions to your business. With Outsourced you can scale your organisation quickly, easily and cost effectively with dedicated remote staff based in our modern offices in Manila

Job Description

About Us:

Outsourced is a leading Philippines outsourcing company providing dedicated remote staff and offshore staffing services. We specialise in providing staff of the highest quality who will continue to exceed your expectations and provide benchmark offshore solutions to your business. With Outsourced you can scale your organisation quickly, easily and cost effectively with dedicated remote staff based in our modern offices in Manila

Position Purpose: Providing support to assist the Sales Support and Settlements team with the origination of Equipment Finance transactions. To ensure a high level of data quality for all new customers and maintain and update data as required.

Responsible For

• Perform accurate and complete data when verifying an application and entering details into relevant systems and CRM.
• Supporting our sales, credit, and settlement teams when retrieving information required and facilitating the settlement of new business.
• Reviewing new client documentation to ensure that it is accurately prepared and executed.
• Achieving target outcomes while professionally.
• Developing a full understanding of the company's product and service offerings
• Ad Hoc tasks deemed necessary to effectively complete your role.
• Completed all regulatory and compliance training as required.
• Have reported all incidents and breaches within required timeframes and to the required standard.
• Adhered to all relevant company policies and procedures.
• Complied with all Regulatory and Compliance obligations.
  
  

• Degree in business or related field is desirable but not necessary.
• Confident written English communication skills
• Ability to use a CRM/Microsoft Office suite.
• Experience in data entry and proficient keyboard skills
• Enjoys being busy, meeting deadlines, and a team player.
  
  

• Office-based | Eastwood Quezon City
• 6AM-3PM Manila Time
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Administrative
• Industries Outsourcing and Offshoring Consulting

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Purpose of the Job:

To analyse data systems, create automated systems to retrieve information from database and compile reports. The department will also use data to solve problems, to turn data into information and information into insight that will lead to informed business decisions, and to create detailed specifications that specify data sources, data flows, data transformations, data storage and reporting. The person appointed to this position will report to the Senior Specialist: Data Analysis.

Key Performance Areas:

•Create detailed specifications that specify data sources, data flows, data transformations, data storage and reporting;
•Produce documentation such as source-to-target-maps, data dictionaries and data models;
•Create test cases and scenarios used to ensure quality assurance;
•Interact and collaborate with technical and business stakeholders to identify data sources, find data definitions for master and meta data as well as formulate and implement solutions;
•Promote the use of existing enterprise data standards to enhance data quality, ensure constant compliance and adherence to data governance principles;
•Process live and confidential data according to specified guidelines;
•Evaluate changes and updates to source production systems that could impact reporting and eventually business decisions;
•Interpret data, analyze results and interpret trends enabling continuous improvement in data quality and overall business performance;
•Defines, implements and standardises metrics, reports and dashboards for the business;
•Deliver key metrics, reports and dashboard with interpretation.

Other Key Competencies:

The applicant must demonstrate the following skills and attributes: active listening, critical thinking, analytical thinking, attention to detail, strong financial and numeracy skills, proficiency in using Ms office, excellent communication skills, good interpersonal skills and emotional intelligence. The candidate must have the ability to establish priorities and manage several tasks.

The FSCA is committed to increasing the representation of marginalised groups in line with its transformation strategy. Persons with disabilities are encouraged to apply.

Please note that correspondence and communication will only be conducted with short listed candidates and that the FSCA reserves the right not to appoint if a suitable candidate is not identified.

A degree or B Tech in Information and Communication Technology (ICT) or a related discipline with at least 4 years’ working experience in a field where analysis of data was major, preferably in a financial services sector. Proven experience building logical and physical data models using industry best practices, patterns and frameworks. Demonstrate knowledge of database and data warehouse design. Knowledge of BI methodologies. Practical technical experience using database management tools and reporting tools.

Closing Date: 18 August 2025

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Date Posted: 07/30/2025
Req ID: 44509
Faculty/Division: Faculty of Arts & Science
Department: Munk School of Global Affairs & Public Policy
Campus: St. George (Downtown Toronto)

Description:

Course number and title : PPG2010H-S – Panel Data Methods for Policy Analysis

Course description : The course provides a rigorous introduction to statistical methods for the analysis of panel data with specific application to the major Canadian longitudinal data sets. This course is offered in collaboration with the Toronto Research Data Centre (RDC). The RDC provides secure access to Canada's preeminent panel data sets for public policy analysis as well as variety of other Statistics Canada data. The course will take place within RDC providing students hands-on experience with these important sources of information on public issues. The RDC offers both lecture space and a computer lab for tutorials. While the specific goal of this course is to introduce students to empirical methods for the analysis of longitudinal data, an important by product is their exposure to the RDC data. Instruction includes a combination of lectures and break-out groups. In break-out groups, students will complete series of problem sets that provide an introduction to the RDC panel data sets and practice in their analysis. The statistical methods reviewed will be drawn from a variety of disciplines to promote the inter-disciplinary study of public policy. Certain topics of particular relevance to the RDC panel data (e.g., cluster sampling, bootstrapping) will also be covered. The course is intended for a) MPP students from the Munk School of Global Affair & Public Policy; and b) students from departments, schools and faculties where small numbers preclude a similar course being offered, or that desire instruction in the use of data housed in the Toronto Region Statistics Canada RDC.

Class schedule : Tuesday 1-4pm
*The delivery method for this course is expected to be in-person.Please note that, in keeping with current circumstances, the course delivery method may change as determined by the Faculty or the Department.

Sessional dates of appointment : January 1, 2026 - April 30, 2026

Salary : Sessional Lecturer I - $9,820.70; Sessional Lecturer I, Long Term - $0,510.04; Sessional Lecturer II - 10,510.04; Sessional Lecturer II (Long Term) - 10,760.28; Sessional Lecturer III - 10,760.28; Sessional Lecturers III (Long Term) - 11,030.36
Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Minimum qualifications : Ph.D. with a specialization in statistical measurement and evaluation required. Extensive knowledge and background in statistical/quantitative methods in social sciences methodology required. Experience and knowledge of applying panel data methods in public policy required.

Preferred qualifications : Experience in teaching in a multidisciplinary context is an asset.

Description of duties : Teaching at the graduate level, developing the syllabus, teaching three-hour classes, providing weekly office hours for academic counseling of students, preparing and delivering course material,preparingand delivering assignments and tests, marking student work and submitting grades.

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.

It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.

Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.

Diversity Statement

The University of Toronto embraces Diversity and is building aculture of belonging that increases our capacity to effectivelyaddress and serve the interests of our global community. Westrongly encourage applications from Indigenous Peoples,Black and racialized persons, women, persons withdisabilities, and people of diverse sexual and gender identities.We value applicants who have demonstrated a commitment toequity, diversity and inclusion and recognize that diverseperspectives, experiences, and expertise are essential tostrengthening our academic mission.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see .

Accessibility Statement

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please .