Jobs at Deloitte

Job Description
Main Purpose of Job

As an experienced Business Intelligence resource, you will bring your knowledge and expertise to ensure the design and development of data models that meet business requirements which are aligned to the architectural framework.

Engagement management and team development will also be a focus at Manager level and above.

You will also be expected to develop high-performing people and teams, leading and supporting them to make an impact that matters, and setting the direction to deliver exceptional client service.

Main tasks and responsibilities are:

•        Design data models that meet the business requirements and align to the agreed architecture framework.
•        Ensure data modelling deliverables are delivered according to project plan and budget to meet commitment to stakeholders.
•        Ensure all data modelling activities and deliverables are aligned to the development methodology and to the data modelling principles and standards
•        Apply the approved tooling to create the data modelling deliverables.
•        Gather and translate business requirements into data requirements.
•        Analyse and profile the source data to understand data quality issues, relationships, patterns and rules in the data.
•        Structure data requirements into logical data constructs based on the Enterprise Data Model, including ERD models, dimensional models to ensure optimal implementation.
•        Compile Source to Target Mapping Specifications
•        Ensure complete and correct data by identifying definitive or authoritative source of data; analysing source data; and identifying gaps
•        Enable physical implementation of the data structure by generating the first cut physical data model from the logical data model.
•        Facilitate dataflow understanding by collating dataflow diagrams outlining the flow of data across systems and interfaces.
•        Reduce non-value adding work by identifying opportunity for re-use of the Enterprise Data Models
•        Manage and execute projects
•        Manage pilots to realize quick wins
•        Organize functional work based on how it adds value and where it needs to be performed

Behavioural Competencies

•       Good communication skills, both written and verbal
•       Interpersonal and relationship building skills
•      Desire to develop self
•      Client delivery focus
•      Adaptable
•       Focus on quality
•       Problem solving ability
•       Analytical

Qualifications
Qualifications & Experience required 

•        Bachelor’s degree in information technology or business informatics or computer science, engineering or related qualifications/ experience.
•        Minimum of 5 years’ experience for Senior Consultant roles
•        Minimum of 8 years’ experience for Management roles
•        Broad understanding of Data Management (DMBOK), systems development lifecycle methodologies and IT Architecture
•        Experience in data modelling and knowledge of common data modelling methodologies (Kimball, Vault, Inmon etc)
•        Preferred technology experience or exposure on SAP HANA, Cloudera and Wherescape
•        Experience with data modelling software packages (SAP PowerDesigner, Erwin, TM1, etc)
•        Experience with SSAS, SAS, Denodo, Snowflake and other relevant virtualisation packages
•        Cloud knowledge and experience prefferred: Azure, AWS, Snowflake
•        Preferred front-end tools: Tableau, Qlikview, PowerBi
•        Ability to manage and execute projects
•        Able to manage pilots to realize quick wins
•        Ability to organize functional work based on how it adds value and where it needs to be performed

Additional Information
*Please note that this job advertisement provides a summary of the capabilities required and all candidates shortlisted will receive a full list of capabilities.

go to method of application »

Job Description
We are looking for people who are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in modern data solutions including data ingestion/data pipeline frameworks, data warehouse & data lake architectures, cognitive computing and cloud services. You will bring your enthusiasm about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of data engineering and analytics.

The job role entails the following:

•        Analysis and conversion of business requirements into technical specifications
•        Data exploration and analysis
•        Data modelling and ETL capabilities
•        Solve intricate data integration problems
•        Understanding of machine learning techniques and applications (including data preparation)
•        Development, testing and implementation of analytics solutions
•        Reporting and data visualisation capabilities
•        Solve complex data modelling and visualisation complications
•        Manage and interact with clients and business stakeholders
•        Translate technical concepts into business understanding and value
•        Proficiency in at least 3 or more of the below tools:  SQL Server, SSIS, SSAS, Cloudera and PowerBI, SAP Analytics, Wherescape, Azure Data Factory 
•        Functional experience in cloud analytics is advantageous

Technical Competencies

•        Technical expert in specific area and/or industry
•        Demonstrated project management skill
•        Consulting skills
•        Experience in drafting and presenting to clients
•        Good report writing skills
•        Sound financial knowledge and understanding
•        Business acumen

Knowledge and experience across multiple areas including:

•        Programming Coding in variety of languages (SAS, SQL, R, Python etc.)
•        Business Analysis (including business process mapping)
•        Data Modelling
•        Machine Learning (ML)
•        Data Management
•        Data Engineering (extractions, transformations, loading patterns)
•        Descriptive analytics (ability to extract insights and trends from data based on requirements)
•        Cloud Analytics
•        SAP Analytics
•        Robotics Process Automation (RPA)
•        Relevant Technical fundamentals at that point in time to what the market is procuring

 Behavioural Competencies:

•        Continuous learning mindset
•        Curiosity
•        Excellent communication skills, both written and verbal
•        Consistently delivers high quality work
•        Ability to meet deadlines (reliable and dependable)
•        Able to Multi-task
•        Proven application of providing guidance to junior members of the project team
•        Demonstrates readiness to take decisions
•        Displays initiative and takes accountability for delivery of own work and that of other team members.
•        Supervises and monitors adherence to deadlines for self and other team members
•         Ability to prioritize competing responsibilities as per their urgency and importance

Qualifications
Minimum Qualifications       

• BSc Computer Science, BSc Honours Computer Science, BSC Maths Statistics, BEng (all disciplines), BCom (Informatics preferred).  Or if direct entry proven experience in data & analytics and other relevant any qualifications (e.g. certifications in analytics technology platforms and techniques)

Desired Qualifications  

• Certifications or Advanced degrees in Data Management, Data Engineering, Data Science, Data Analytics, Data Vault and technology specific certifications 
• Minimum Experience  
• 5 years relevant working experience 

Desired Experience  

• 5+ years’ relevant work experience 

Additional Information
*Please note that this job advertisement provides a summary of the capabilities required and all candidates shortlisted will receive a full list of capabilities.

go to method of application »

Job Description
We are looking for people who are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in modern data solutions including data ingestion/data pipeline frameworks, data warehouse & data lake architectures, cognitive computing and cloud services. You will bring your enthusiasm about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of data engineering and analytics. 

The job role entails the following:  

•        Analysis and conversion of business requirements into technical specifications 
•        Data exploration and analysis 
•        Data modelling and ETL capabilities 
•        Solve data integration problems 
•        Development, testing and implementation of analytics solutions  
•        Reporting and data visualisation capabilities 
•        Solve complex data modelling and visualisation complications 
•        Manage and interact with clients and business stakeholders 
•        Translate technical concepts into business understanding and value 
•        Proficiency in at least two or more of the below tools:  SQL Server, SSIS, SSAS, Cloudera and PowerBI, SAP Analytics 

Technical Competencies 

•        Demonstrated project management skill 
•        Consulting skills  
•        Experience in drafting and presenting to clients  
•        Good report writing skills 
•        Sound financial knowledge and understanding 
•        Business acumen 

Knowledge and experience across multiple areas including: 

•        Programming Coding in variety of languages (SAS, SQL, R, Python etc.) 
•        Business Analysis (including business process mapping) 
•        Data Modelling 
•        Data Management 
•        Data Engineering (extractions, transformations, loading patterns) 

Behavioural Competencies: 

•        Continuous learning mindset 
•        Curiosity 
•        Excellent communication skills, both written and verbal 
•        Consistently delivers high quality work 
•        Ability to meet deadlines (reliable and dependable) 
•        Able to Multi-task 
•        Proven application of providing guidance to junior members of the project team 
•        Demonstrates readiness to take decisions 
•        Displays initiative and takes accountability for delivery of own work  
•        Supervises and monitors adherence to deadlines for self 

Ability to prioritize competing responsibilities as per their urgency and importance 

Qualifications
Minimum Qualifications  

• BSc Computer Science, BSc Honours Computer Science, BSC Maths Statistics, BEng (all disciplines), BCom (Informatics preferred).  Or if direct entry proven experience in data & analytics and other relevant any qualifications (e.g. certifications in analytics technology platforms and techniques) 

Desired Qualifications  

• Certifications or Advanced degrees in Data Management, Data Engineering, Data Science, Data Analytics, and technology specific certifications 

 Minimum Experience  

• 3 years relevant working experience 

Desired Experience  

• 3+ years’ relevant work experience 

Additional Information
*Please note that this job advertisement provides a summary of the capabilities required and all candidates shortlisted will receive a full list of capabilities.