DCA: Data Analyst
Midrand, ZA
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Vodafone
Vodafone is a leading technology communications company in Europe and Africa, keeping society connected and building a digital future. Find out more!DCA: Data Analyst
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Role Purpose/Business Unit:
The role of a DCA: Data Analyst is to interpret data and trends in complex data sets; analyse results using statistical techniques and provide ongoing reports that optimize efficiencies to the leadership team. Support the DCA by ensuring all back-end processes run effectively, responsible for automation and exception report creation
Your responsibilities will include:
Data Analytics and Management
- Assist internal Business with any adhoc reporting, data sourcing and insights using aqua data studio (Eppix backend) and sql developer (PCC back end)
- Segment PCC data receive in a csv format, feed that data onto PowerBI to create dashboards and enhance visualization
- Providing insights on the DCA reports by analysing historical data and using PowerBI to create reports
- Perform standard and ad-hoc statistical tasks to collect and manipulate data, identify trends, and interpret results
- Develop quantitative models to forecast DCA collection portfolio risk and recoveries
- Build predictable models that will enable DCA to forecast recoveries per quarter
- Identify collection trends aligned to vintages to enable better focus within the handover process / strategy
- Responsible for finding alternatives to enriching DCA data on a regular basis
- Work with MI to improve the quality of the data files sent to the DCA’s – adding additional data columns to enable DCA’s to collect optimally
- Acquire data from primary or secondary data sources as well as maintain and improve data and reporting systems
Process Enhancements
- Build a program which will be embedded into the SFTP site for alerts when a file is over-due to the DCA, for a proactive response to file queries
- Build and constantly improve a predictive model to timeously identify EC accounts which must be prioritised for ECE Allocation
- Build a single-view location to sync and manage the file traffic between DCAs and Vodacom
- Source, clean and supply supplementary data to the DCAs to aid collections
- Build and manage DCA Data warehouse and source additional information from business to improve the quality of data by creating a Sql database, to store and update the data.
- Weekly book syncs to ensure that all DCAs are working only the allocated accounts
Automation and Reporting
- Consolidate all DCA reports to one agreed format and create an auto-updating dashboard for DCA Performance Reporting
- Design DCA performance scorecards and ranking reports
- Resolve DCA queries that are related to sftp site and all DCA file exchanges, monitoring any inconsistencies and incorrect data
- Design a Collections predictor model to inform collections performance across the DCA portfolio
- Create reports that will provide more insight within the DCA portfolio
- Report and present analytical findings and propose recommendations for process, business and strategic improvements aligned with DCA objectives
- Create reports that will provide more insight within the DCA portfolio
- Report and present analytical findings and propose recommendations for process, business and strategic improvements aligned with DCA objectives
- Undertake analysis to determine the impact of strategy changes to areas of collection and receivables for the DCA’s
- Investigate data integrity issues, test assumptions and validate analytical results, ensuring accuracy and sensitivity of findings
- Monitor key performance indicators to locate and correct business problems
Stakeholder Management
- Host regular DCA Performance and Operational meetings together with the DCA Manager to ensure that we are on par with the collection strategies and campaigns of the DCAs, and that the effectiveness thereof is backed up by data
- Assist the DCAs Manager with performance management in relation to set targets and expectations
- Attend to DCAs escalations, and also assist our internal Admin team with the escalated queries including but not limited to unallocated payments, BOT for DCA statements, ITC BOT – ensuring that the RPA team regularly check that the BOT is working
- Liaise between DCAs and Vodacom’s internal Collections team (Systems, Strategy and MI) in terms of possible challenges, process failures and query resolutions
The ideal candidate for this role will have:
- Matric
- Bachelor’s degree in applied mathematics Qualification or other equivalent
- 4 years’ experience in Data Science, Data Analytics, Data Visualisation etc.
- Telecommunications experience
Core competencies, knowledge, and experience:
- Adaptability.
- Time Management.
- Relationship Management.
- Diversity Management.
- Business & Commercial Acumen.
- Strong analytical skills.
- Innovative thinking
- Problem solving.
- Effective communication and influencing skills.
- Ownership and drive for impact.
- Attention to detail & Quality conscious.
- Planning and Organising.
- Disciplined & Deadline driven.
- Performance Monitoring.
- Advanced skills in Excel, Word and PowerPoint.
- In-depth knowledge of SQL Databases
- Knowledge of dashboarding tools (e.g. PowerBI, Qlik Sense)
- Presentation skills.
- Clear communicator, written and oral
- Ability to engage effectively with senior leadership team
- Manage deliverables from other departments
- Stakeholder management
We make an impact by offering:
- Enticing incentive programs and competitive benefit packages
- Retirement funds, risk benefits, and medical aid benefits
- Cell phone and data benefits, advantages fibre connection discounts, and exclusive staff discounts offered in collaboration with partner companies
Closing date for Applications: 8 August 2025
The base location for this role is Midrand, Vodacom Campus
The company's approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.
Vodacom is committed to an organisational culture that recognises, appreciates, and values diversity & inclusion.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: CSV Data Analytics Data Studio Data warehouse Excel Mathematics Power BI Qlik Robotics RPA SQL Statistics
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