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We provide end-to-end IT Solutions. With more than 20 years' experience in Data Analytics, Vito Solutions can handle any IT requirement. We assess and analyze business problems to provide you with a strategy and fit-for-purpose IT solution implementation. Our consulting team has years of experience in business applications, data analytics, data warehousing, ...
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JOB OVERVIEW:
The successful candidate is a strong commercially minded Marketing Data Analyst to plan, implement, and manage the gathering, preparation, analysis, and reporting of data that informs data-driven marketing automation decisions in line with strategic and business objectives.
The candidate will be reporting on campaign performance across various internal and external data sources, across the entire Marketing funnel into conversion to sale. Engaging with various data and BI teams to source relevant data to report on end-to-end campaign performance. Developing visualizations for the purpose of campaign performance and optimization (i.e. operational performance, business case performance). Performing analytics and surfacing insights to enable campaign optimization and inform strategic activities for the business.
The ideal candidate will possess a combination of business acumen, marketing, analytics, and technical expertise.
DESCRIPTION OF POSITION:
- Collect, automate, analyze and continuously provide analytics and measurement near real-time for business to action.
- Automation of visualizations and analytics.
- Identify relevant data, extract and integrate multiple data sources (e.g. Marketing CRM, Google Analytics, client value management (client behavioral data) to perform analysis, visualize findings and derive insights.
- Through analysis: create and maintain automated management and strategic dashboards which provide insights that advocate ongoing improvement.
- Perform root cause analysis (i.e., deep dives) to identify appropriate improvement solutions.
- Collaborate with BI, Research, and Analytics teams to build appropriate models that enhance analytics and the business value of insights.
- Collaborate with business stakeholders to gather requirements for use cases, provide status updates, and continuously build relationships.
- Synthesis of insights into actionable recommendations that enable sound data-driven business and Marketing decisions and actions that align with the strategy.
- Communicate analytical findings and insights to stakeholders using data visualization techniques, presentations, and reports.
KNOWLEDGE AND SKILLS:
- Marketing / Data / Analytics / Technology
- Advanced understanding of transforming business requirements into analytics and insights deliverables that address the business needs.
- Strong knowledge of data visualization/reporting packages (PowerBI, SAP Webi Business Objects, LookerStudio), databases (Marketing Analytics Record, SAP HANA, Cloudera), and querying (SQL).
Competencies:
- Analytical thinking
- Accuracy
- Customer focus
- Financial acumen
- Tech savvy
- Decision quality
- Solves problems
- Attention to detail
- Plans and aligns
- Cultivates innovation
- Drives results
- Collaborates
- Building and maintaining relationships (partnering)
- Communicates effectively (verbal and written)
- Optimizes work processes
- Being resilient
- Adaptability
- Agility
- Accountability
- Nimble learning
- Computer skills (MS Excel advanced level and MS PowerPoint)
QUALIFICATIONS REQUIRED:
Bachelor's Degree in Marketing, Data Analysis, and/or related fields (Computer Science, Mathematics, Statistics, or other business/tech field) with a proficient analytical skillset.
EXPERIENCE REQUIRED:
- 3-5 years experience with SQL querying
- 3-5 years experience in overall and Marketing data analytics
- 3-5 years experience in data visualization (PowerBI, SAP Webi BO, Tableau, LookerStudio), reporting, and presentations for stakeholder use.
- 2-3 years experience with Google Analytics
- 2-3 years experience with CRM Marketing automation systems (e.g. MS D365, Salesforce Marketing Cloud).
ADVANTAGEOUS SKILLS:
- Digital Marketing certifications.
- Relevant experience within the Financial Services Industry. .
go to method of application »
JOB OVERVIEW:
The incumbent will report to the Data Management and Governance Lead as part of the Group Data Office and is responsible for all data architecture activities within the team. The primary role is to define and maintain the data architecture for a specific business unit and oversee the data landscape assessments, data profiling, and architectural patterns for that business unit.
The incumbent is responsible for defining the business unit context's data architecture approach and principles. This function works closely with business, internal IT, and the Group Data Office. The key stakeholder will be the internal IT function and enterprise architecture.
The incumbent will provide direction and inputs into the business unit data strategy and guide the execution of data-related projects in the context of data architecture. Build, optimize, and maintain conceptual and logical database models. Support data migration activities as well as manage the data lifecycle within the business unit.
DESCRIPTION OF POSITION:
- Conserve data resources
- Preserve data integrity
- Build standard, repeatable processes
- Ensure adherence to Legislation where applicable
- Thorough understanding of the business
- Ensure Data Standardization
- Manage Data Lifecycle
- Assist with the creation of data privacy policies and ensure compliance with data protection regulations
- Evaluates implemented data systems for variances, discrepancies, and efficiency
- Create and Maintain data architecture patterns
- Create and Maintain data dictionaries
- Create and Maintain data landscape assessments (Data inventories, ERDs, etc.)
- Create and Maintain the As-Is and To-Be data architecture
- Contribute towards the selection of solutions within the data and application landscape
- Design and implement effective database solutions and models to store and retrieve data
- Assess database implementation procedures to ensure they comply with internal and external regulations
- Install and organize information systems to guarantee company functionality
- Prepare accurate database design and architecture reports for management and executive teams
- Oversee the migration of data from legacy systems to new solutions
- Monitor the system performance by performing regular tests, troubleshooting, and integrating new features
- Recommend solutions to improve new and existing database systems
- Educate staff members through training and individual support
- Offer support by responding to system problems promptly
- Analyzing structural requirements for new software and applications
- Develop database solutions to store and retrieve company information
- Install and configure information systems to ensure the functionality
- Migrate data from legacy systems to new solutions
- Design conceptual and logical data models and flowcharts
- Improve system performance by conducting tests, troubleshooting, and integrating new elements
- Optimize new and current database systems
- Define security and backup procedures
- Coordinate with the Internal IT and Data Office departments to identify future needs and requirements
- Requirements gathering
- Conduct source-to-target mapping
- Alignment to industry standards
KNOWLEDGE AND SKILLS:
FUNCTIONAL KNOWLEDGE:
- Data Governance
- Problem-Solving
- Project Management
- Architecture
- Experience with Supply Chain & ERP systems
- Data Architecture
- Enterprise Architecture
- Data Management
- Data Integration
- Data Optimization
- Data Value Management
- Data Modelling and Design
- Understanding of the TMFORUM Information and Application Framework.
FUNCTIONAL SKILLS:
- Conflict Management
- Critical thinking
- Excellent oral and written communication skills
- System Integration
- Process Optimization
- Data retention
- Planning and organizing
- Leadership and communication
- Project management
- Analytically minded
- Strategic thinking
- Innovative thinking
- Drive and Results Orientation
- Judgment and Decision-Making
- Building Strategic Relationships
- Ability to work comfortably in a collaborative setting
- Ability to work on multiple simultaneous projects and meet tight deadlines
- Customer orientation
- Strong knowledge of database structure systems and data mining
- SQL and cloud database experience across hyper-scalers
- Proven work experience as a Data Architect
- In-depth understanding of database structure principles.
- Experience gathering and analyzing system requirements
- Knowledge of data mining and segmentation techniques
- Familiarity with data visualization tools (e.g., Tableau, PowerBI, etc).
- Proven analytical skills.
- Mastery of specific types of databases, such as relational or foundational databases.
- Experience with database management software.
ATTITUDES/ LEADERSHIP COMPETENCIES:
- Problem solver
- Takes initiative
- Open Mindedness
- Hard-working
- Proactive
- Can do attitude
- Works well under pressure
- Management of high-performance teams
- Professionalism and ethical behavior
- Accountability
- Attention to detail
KEY STAKEHOLDERS (INTERNAL/EXTERNAL)
Internal:
- Group Head of Data and Analytics
- Head of Strategy and Business Transformation and broader team
- Senior Manager: Data Insights Management
- Data Management and Governance Lead
- BU/ subsidiary Exco
- BU Internal IT
External:
- Relevant software vendors
- External vendors/ suppliers
KEY DECISION-MAKING AUTHORITY:
- Tactical and operational decision-making around data architecture
KEY METRICS:
- Operational
- Metrics around Project Performance
- Optimization and value creation
- Data Management SLA
- Data enablement
- Data Governance coverage
- Project-specific
QUALIFICATIONS REQUIRED:
- Relevant Degree (Computer Science, IT, Information Technology Engineering, or similar)
- TOGAF Certification
EXPERIENCE REQUIRED:
- 5 years of working experience in data environment with specific experience in data architecture implementation and management.
- Experience in Data Quality, Data Architecture, Data Modelling and Design, Data Storage and Operations, Data Security, Data Integration, and Interoperability
- Experience in Data Lifecycle Management, Customer Data Management, Data Availability, Data Attribute, Data Cleansing, Data Control,
- Experience in Data Lineage, Data Masking, Data Profiling, Data Proliferation, Data Purging, Data Risk Management, Project Management
- Delivering results and meeting customer expectations.
- Strong analytical and problem-solving skills - demonstrated ability to think about business problems in new ways and clarify key issues in complex situations.
- Highly self-motivated and able to thrive in an extremely fast-paced and changing environment.
- Persuading and influencing - Demonstrated ability in persuading and influencing others within and outside of reporting lines.
- Presenting & Communicating Information - Strong executive presentation skills, oral and written; able to tailor communication style to meet the needs of the audience effectively.
- Speaks fluently; expresses opinions, information, and key points of an argument clearly; makes presentations and undertakes public speaking with skill and confidence; gains credibility through delivered projects
- Track record of participation in large-scale successful data architecture implementations
- Ability to conduct source-to-target mapping and conduct a gap analysis
- Experience with or exposure to TOGAF and DAMA
- Experience working with the Microsoft Tech stack
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JOB OVERVIEW:
The incumbent reports to the Group Data Office and will be dedicated to a specific business unit in support of their Data Management and Data Governance initiatives.
The incumbent will be leading a team of specialists in support of Data Office activities. The incumbent is responsible for oversight of all data-related activities that have been defined as part of the business unit data strategy which includes but is not limited to Data Governance, Data Management, Data Architecture, Data Modelling and Design, Data Quality and Health, Data Policies, Data Standards, Data Privacy, Data Valuation and tracking of data KPIs/OKRs.
The incumbent is responsible for managing and overseeing operational teams that are dedicated to the respective business unit which includes the Master Data Management function. The incumbent will work directly with stakeholders across all lines of business. The incumbent should also help define and drive strategic imperatives to unlock the value of data within the business unit.
DESCRIPTION OF POSITION:
- Conserve data resources
- Preserve data integrity
- Build standard, repeatable processes
- Improve the quality of master data
- Ensure adherence to Legislation where applicable
- Thorough understanding of the business
- Lead, motivate, and manage technical and operational master data teams
- Oversee the collection, storage, management, quality, and protection of master data from a governance perspective
- Manage business-as-usual activities from an MDM perspective
- Ensure MDM practices form part of data-related projects
- Oversee the onboarding and training of Data Stewards within the business unit
- Ensure Data Standardization
- Manage Data Lifecycle
- Revise Master Data methods & procedures
- Change and implement Workflow Processes
- Define and enforce data governance and standards
- Assist with the creation of data privacy policies and ensure compliance with data protection regulations
- Effectively communicate the status, value, and importance of data collection to executive members and staff
- Support strategic business initiatives from a data stream perspective
- Develop strategies and initiatives to improve overall data quality, improve processing times and anticipate future needs
- Ensure master data integrity, quality, compliance, and consistency across organizational systems
- Work with business units and process experts to resolve master data issues
- Ensure metadata is consistently defined across all work streams with no redundancy and clarity for use
- Drive data life cycle management.
- Manage and oversee multiple cross-functional teams.
- Contributes to tooling and standards to improve the productivity and quality of output of data
- Shares knowledge and contributes to solution application development on multiple large-scale, business-critical systems.
- Creates solution artifacts and presents them to business and technology leaders.
- Engages and partners with architecture teams to clearly understand the system design and roadmap.
- Collaborates with the Enterprise Architecture team to conceptualize, design, and implement application and data architecture.
- Leads and facilitates all technical and data aspects of data-related initiatives.
- Analyses and translates business needs into long-term solution data models.
- Draft, maintain, and execute data strategy within the business unit.
- Contributes towards data governance and data quality best practices including design reviews, unit testing, code reviews, and continuous integration and deployment.
- Evaluates implemented data systems for variances, discrepancies, and efficiency.
- Maintain an up-to-date data inventory for all business-critical data within the BU.
- Report back on data health to Business Unit and Group Data Governance forums.
KNOWLEDGE AND SKILLS:
FUNCTIONAL KNOWLEDGE:
- Business Analysis
- Change Management
- Data Management
- Data Governance
- Problem-Solving
- Master Data Management
- Project Management
- Strategy
- Data Landscape Assessments
- Managing budgets
- Data Architecture
- Experience with Supply Chain & ERP systems.
- Functional knowledge of SAP and Salesforce environments.
FUNCTIONAL SKILLS:
- Conflict Management
- Stakeholder Management
- Critical thinking
- Reference Data Management
- Business Analysis
- Excellent oral and written communication skills
- System Integration
- Master Data Management
- Process Optimization
- Data retention
- Planning and organizing
- Leadership and communication
- Project management
- Analytically minded
- Strategic thinking
- Innovative thinking
- Drive and Results Orientation
- Judgment and Decision-Making
- Building Strategic Relationships
- Ability to work comfortably in a collaborative setting
- Ability to work on multiple simultaneous projects and meet tight deadlines
- Customer orientation
- Experience in the area of design, development, testing, and implementation of data management solutions.
- Speaks fluently; expresses opinions, information, and key points of an argument clearly; makes presentations and undertakes public speaking with skill and confidence; gains credibility through delivered projects.
ATTITUDES/ LEADERSHIP COMPETENCIES
- Problem solver
- Takes initiative
- Open Mindedness
- Hard-working
- Proactive
- Can do attitude
- Works well under pressure
- Management of high-performance teams
- Professionalism and ethical behavior
- Accountability
- Highly self-motivated and able to thrive in an extremely fast-paced and changing environment.
- Persuading and influencing - Demonstrated ability in persuading and influencing others within and outside of reporting lines.
KEY STAKEHOLDERS (INTERNAL/EXTERNAL)
Internal:
- Group Head of Data and Analytics
- Head of Strategy and Business Transformation and broader team
- Senior Manager: Data Insights Management
- Business unit - Internal IT
- Business unit Exco
External:
- Relevant software vendors
- DAMA
- Finance functions
- External customers
- External vendors/ suppliers
KEY DECISION-MAKING AUTHORITY:
- Tactical and operational decision-making in terms of data strategy, data management, and data governance.
KEY METRICS
- Financial
- Supporting revenue and operational activities
- Operational
- Metrics around Project Performance
- Data Quality and Data Governance
- Data Management SLA
- Data Governance coverage
- Data Management process uptake
- DQ Metrics
- Volumes
- Project timelines and budgets.
QUALIFICATIONS REQUIRED:
Relevant Degree (Computer Science or IT Engineering preferred)
EXPERIENCE REQUIRED:
- 8+ years of working experience in a technical data environment with at least 2 years of relevant Data Governance and Data Management experience
- Experience in Data Quality, Data Architecture, Data Modelling and Design, Data Storage and Operations, Data Security, Data Integration, and Interoperability
- Experience in Document and Context Management, Reference and Master Data, Data Warehousing and Business Intelligence, Metadata, Data Integrity, and Data Governance
- Experience in Data Lifecycle Management, Customer Data Management, Data Availability, Data Attribute, Data Cleansing, Data Control, Data Integration, Data Liberation
- Experience in Data Lineage, Data Masking, Data Profiling, Data Proliferation, Data Purging, Data Risk Management, Strategy, Project Management, Privacy Control, Single source of Truth, and System of Record
- Delivering results and meeting customer expectations. Strong analytical and problem-solving skills - demonstrated ability to think about business problems in new ways and clarify key issues in complex situations.
- Presenting & Communicating Information - Strong executive presentation skills, oral and written; able to tailor communication style to meet the needs of the audience effectively.
- Track record of large successful methodology implementations.
go to method of application »
JOB OVERVIEW:
The primary focus of this position is to administrate, configure, monitor, and maintain our continuous integration and source control areas. You will need to be helpful and supportive to your team and fellow developers. You'll join an energetic, focused, and dynamic team.
DESCRIPTION OF POSITION:
Develop Frameworks to do the following:
- Build and Deploy Java Applications, Javascript, and containerized applications
- Jasper Report Deployments
- Oracle Stored Object Compilations
- Provision infrastructure with Terraform
Source Control Management using:
- Subversion Edge
- GitLab - Maintain on the latest version as well as Backup & Recovery
Application Server Administration using:
- Weblogic, Tomcat, and Docker - Install & configure, Monitor & Maintain and Troubleshoot & problem solve.
Continuous Delivery Pipelines using Jenkins:
- ADF Deployments
- Java Spring Deployments
- Html / javaScript Deployments
Monitoring:
- Troubleshooting potential issues (Reactive/Proactive)
- Monitoring tools used: Oracle Enterprise Manager 13C, Nagios / Icinga, App Dynamics, Graylog / ELK, and Google Cloud Operations.
Documentation:
- Document all processes and procedures, installation/configuration/upgrade processes
Research & Development:
- Investigate and access new tools to be used in the DevOps environment and their viability as well as their fit.
- Think on an enterprise scale. I.E reuse, flexibility, fit for purpose, cultural fit within the company
- Ongoing process re-engineering to adapt continuous integration environment to technological changes.
Support Development teams with build processes and release management of new changes to production.
KNOWLEDGE AND SKILLS:
You will be working with the following technologies:
- Jenkins
- Java / Python / Groovy / Shell scripting
- Artifactory
- Gitlab
- SVN
- Oracle Weblogic Server
- Apache Tomcat
- Docker
- Kubernetes (Rancher / GKE)
- Apache HTTP
- Nagios (Icinga)
- Oracle Enterprise Manager
- Package Managers (Maven / NPM/ PIP)
- Jasper Reports Server
- Terraform
- ELK Stack / Graylog
- Linux
- Google Cloud Platform
- Streamsets / Debezium
Competencies:
- Strives for continuous improvement
- Works smart, not hard (DevOps has 4 team members supporting hundreds of servers across +- 20 technology types, and it is expanding quickly)
- Needs to have adopted DevOps as a culture
- Needs to embrace change rather than fear it
- The natural tendency to take ownership and responsibility
- Strong problem-solving, effective planning, and organizational skills
- Detail oriented
- Take responsibility for team failures
- Excellent communication skills
- You have a can-do attitude
- Can cope under pressure
- A positive outlook on life
- Above all, be passionate about what you do
QUALIFICATIONS REQUIRED:
- Matric
- Tertiary qualification in IT
EXPERIENCE REQUIRED:
- 3 years experience in Linux, continuous integration (Jenkins), scripting in Groovy, Python, and, Shell
go to method of application »
JOB OVERVIEW:
You will be responsible to establish new technology components and reusable solution patterns that can be leveraged by business-facing teams in their day-to-day solutions. You are regarded as a data engineering specialist with advanced analytical and technical skills who understands data modeling, data engineering, data visualizations, and analytical models.
You should be competent in communicating challenges and solutions to project and operational leadership. An understanding of data management solutions and a keen sense of the strategic value of information to an organization will be of importance. You will also be responsible for developing data pipelines, and data models, monitoring programme/ job performance, designing data warehousing blueprints, evaluating hardware and software platforms, and integrating systems; translating business needs into long-term solutions.
You possess the ability to orchestrate delivery with a complex series of stakeholders and able to conceptualize solutions built on a hybrid of technologies with no real scope at the get-go, i.e. create, navigate, and negotiate the scope on the fly.
DESCRIPTION OF POSITION:
- Define a structured approach to problem-solving and delivery against it.
- Assist and advise the planning and management of the workload of the team
- Collaborating with other data engineers and data modelers, you will design, implement, and manage the data pipeline to avail data in the information layer
- Create and automate reports for use by a large user base across our branch network
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing models for greater scalability
- Monitor and fine-tune the data pipeline, reports, and information layer for optimal performance
- Use modern development and modeling techniques and tools to implement BI and data management solutions, including data quality, metadata, and reference data
- Engage with a wide range of technical stakeholders including data scientists, data analysts, business analysts, other data engineers, and solutions architects
Competencies:
- Strong analytical & numerical ability
- Problem-solving skills
- Conceptual thinker
- Good communication / interpersonal skills
- Action/results orientation
- Quality orientation
- Knowledge seeking/learning orientation
- IT Data Analysis
- Database Knowledge and Monitoring
- Data Security
- Risk Management
- Strong analytical-thinking and problem-solving abilities
- Ability to collect, organize, analyze, and disseminate significant amounts of information
- Strong technical and operational ability
- Deadline-driven, even in pressurized and fast-paced environments
KNOWLEDGE AND SKILLS:
- Strong understanding of data, data structures, and data sources.
- Technology stack: SQL, Python, Hadoop, SAP HANA, WhereScape, GIT, Bamboo
- Application and data engineering background with a solid knowledge of SQL
- Knowledge of database management system (DBMS) physical implementation, including tables, joins, and SQL querying.
- Object-oriented/object-functional scripting languages (e.g. Python, Java, Shell, or related)
- Knowledge of structured data, such as entities, classes, hierarchies, relationships, and metadata.
- Strong Data Engineering background with a specific focus on staging high-quality data
- Ability to comply with and manage data assets under a strict governance framework
- Data warehousing (Kimball and Data Vault patterns) and dimensional data modeling
- A solid background in SQL, Information Architecture, and ETL procedures
- Data Management technologies (e.g. Informatica Data Quality (IDQ), Informatica Enterprise Data Catalog (EDC), Axon, EBX)
QUALIFICATIONS REQUIRED:
- Bachelor's degree in Computer Science, Statistics, Informatics, Information Systems, Engineering, or another quantitative field
- National Diploma in an Information Technology related discipline preferred
EXPERIENCE REQUIRED:
- 2 to 5 years of relevant experience in a similar environment working with the relevant tools and techniques
- Experience in Database technologies (e.g. SAP Hana and Web IDE, or similar) or Hadoop components including HDFS, Hive, Spark, Oozie, and Impala preferred and highly advantageous.
- Experience in data warehousing principles (e.g. Kimball and Data Vault).
- Experience in Agile development
- Experience in structured data, such as entities, classes, hierarchies, relationships, and metadata
- OLAP and MDX experience
- Experience with object-oriented/functional/scripting languages (e.g. Python, Unix Shell scripting, Java, Scala, etc.)
Method of Application
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