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SoluGrowth is a leading South African Business Process Solutions company with global reach and depth of expertise across a range of industries and serves clients across the globe.
About the job
JOB BRIEF
An integral member of the Consulting Business Unit focused on developing solutions that transform business processes using Data Management and Analytics capabilities as an enabler.
A Data Analytics who can scrutinise core (industry-specific) and non-core business processes (P2P, O2C, H2R, R2R and SD) information, using data analytics tools. The meaningful results they pull from the raw data will help clients to identify and recommend improvements to processes based on various facts and trends.
Support the Consulting Business Unit during interactions with Clients, expertly advising them on solutions in the market as well as the trends that influence their businesses in relation to Data Management and Analytics, with a focus on enhancing their operational performance.
RESPONSIBILITIES
Build a stable data management and analytics business that grows and employ more data specialists
Collaborate with business unit leaders and business process leaders to develop data solutions integrated into our outsourcing, IT and consulting solutions.
Grow new clients and farm existing SoluGrowth clients that have analytics opportunities.
Develops project plans specifying goals, strategy, staffing, scheduling, identification of risks, contingency plans and allocation of available resources (i.e., coordinate and facilitate end-to-end project management principles for data management and analytics projects).
Identifies risks and provides solutions to ensure that projects are completed within specified timeframes.
Integrate into teams that are focusing on boosting Clients’ data management initiatives whilst being clear in the understanding and communication of the impact on people, processes and technology stacks in order to support the execution of the Client’s strategy.
Providing expert guidance in the development and implementation of frameworks for databases, data collection systems, data analytics dashboards and other strategies that optimise statistical efficiency and quality to inform key business decisions.
Keep informed of best practice and technological developments in order to recognise improvement opportunities and articulate the potential benefits these could bring to the Scheme.
Analysing, Interpreting and Managing data with current and planned data systems at SoluGrowth clients.
Contribute to the development of others less experienced within the team to ensure continuous upliftment of the performance of the team.
GENERAL COMPETENCIES
Should be highly analytical.
Critical thinking and problem-solving skills essential to interpreting data.
Strategic thinking
Using advanced computerised models to extract the data needed.
Removing corrupted data.
Performing initial analysis to assess the quality of the data.
Performing further analysis to determine the meaning of the data.
Performing final analysis to provide additional data screening.
Preparing reports based on analysis and presenting to management.
Able to work in an ever-changing, unstructured environment.
Able to provide mentorship and guidance to other team members.
Strong interpersonal skills
Adaptable and flexible
Passion for other areas in the field of Data Management and Analytics (e.g., IoT, Machine Learning), with a keenness for extensive research and sharing insights with the broader team that he/she works with.
QUALIFICATIONS & EXPERIENCE:
Bachelor's Degree in Computer Science, Computer Engineering, Information Technology, or relevant field.
Masters in Computer Science with a Degree in Business Management (advantage)
7 – 10 years working experience in Core Competency areas below
Deep level understanding and experience of data management principles preferably having worked in Banking, Insurance or Telecommunications sectors for at least 5 years.
CORE COMPETENCIES, ATTRIBUTES & SKILLS
Experience designing, executing and supporting Microsoft Azure Services, with understanding of Amazon Cloud Services and/or Google Cloud Platform cloud solutions a bonus.
Solution design and implementation; conceptual designs and integration of systems,
Business intelligence, data analysis and reporting solutions,
Data engineering; data modelling, traditional ETL processes, big data, and other bespoke solutions,
Knowledge of back-end programming languages, specifically Python, R and SQL. Familiarity with Java or C++ is a bonus,
Use data-oriented approach to work with others in solving complex business problems around operational analysis and improvement.
Advanced knowledge and skill-sets with Data mining techniques and procedures.
Understanding of Process Mining is a bonus,
Project Management: ability to work across a range of cross-functional projects to manager and deliver Data Management and Analytics solutions to Clients,
Technical Competencies
Knowledge of data management frameworks and ability to conduct pilots to realize quick wins.
Practical knowledge of data quality principles, data profiling and data quality tools. Ability to assess, design data quality approaches and processes.
Practical knowledge of master data and reference data
Practical knowledge of data governance principles and the execution of data governance requirements.
Practical knowledge of integration methods, processes and tools. Ability to assess and design and execute data integration processes.
Practical knowledge of data privacy principles
Strong knowledge of Analytical and Reporting Tools and their integration into the Data Management and Analytics landscape with a clear understanding of the best combination of tools based on company size, size of data sets and more.
NB: Recruitment Agencies - Please note that this recruitment assignment is being managed directly by SoluGrowth Recruitment team. We will reach out to our preferred recruitment agency partners in the rare instance we require additional talent options. Your respect for this process is appreciated.
Should you meet the requirements for this position, please apply via LinkedIn or send your CV to [email protected].
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