Job Openings at Moyo Business Advisory

Job description

Overview:

The successful candidate will have at least 3 to 4 years of practical experience in Business Intelligence, with exposure to source data Analysis, data warehouse design & build, report building and visualization. Candidates should hold a tertiary qualification (degree or diploma) in an Information Systems and Analysis related field.

This BI Analyst will be responsible for eliciting the needs and requirements of stakeholders, analyse and synthesize information from various sources, as well as provide technical support in the development and delivery of valuable Business Intelligence solutions.

Successful candidates must be willing to travel in and around Gauteng and be adaptable to the changing environments involved in the consulting field.

Candidates must have the following qualifications, experience and skills:

• Degree relating to computer science, information technology and/or informatics
• 2 – 4 years’ experience in business intelligence analysis and/or development
• Excellent communication skills (written, spoken and presentation)
• Strong technical experience and understanding as per requirements below:
• Visual Studio 2010
• Business Intelligence Studio
• Microsoft SQL Server
• SQL Queries
• Reporting Services (SSRS)
• Analysis Services (SSAS)
• Integration Services (SSIS)
• Power BI, Qlikview, Tableau or similar tool
• Excel Pivot tables
• Data warehousing
• Data Analysis
• Data Modelling
• SDLC

The following analysis skills and expertise is preferred:

• Business Analysis and Planning
• Systems Analysis and Design
• Requirements Management and Communication
• Requirements Analysis

go to method of application »

Job description

Overview:

We are looking for a passionate Data Analyst to turn data into information, information into insight and insight into business decisions. Responsibilities include conducting full lifecycle activities to include requirements analysis and design, developing analysis and reporting capabilities, and continuously monitoring performance and quality control plans to identify improvements.

Responsibilities:

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and “clean” data, and review computer reports, printouts, and performance indicators to locate and correct code problems
• Work closely with management to prioritize business and information needs
• Locate and define new process improvement opportunities

Requirements:

• Tertiary degree, diploma or certificate in a related field (BS in Mathematics, Economics, Computer Science, Information Management or Statistics)
• 3 – 5 years’ working experience in related fields
• Proven working experience as a data analyst
• Technical expertise regarding data models, database design and development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (SSRS, Business Objects, Tableau, Power BI etc), databases (SQL, Hadoop etc), programming (Python, XML, Javascript, or ETL frameworks)
• Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy
• Data mapping and transformation skills
• Analytical Skills: Work with large amounts of data: facts, figures, and number crunching. Ability to see through the data and analyze it to find patterns.
• Communication Skills: Present findings, or translate the data into an understandable document. Write and speak clearly, easily communicating complex ideas.
• Critical Thinking: Ability to look at the numbers, trends, and data and come to new conclusions based on the findings.

go to method of application »

Job description

Overview:

Responsible for understanding and driving the overall technical vision and planning of an organisation and translating business needs into technical strategy. An understanding of inter-dependencies between various systems and infrastructure is key to ensure alignment to the overall strategy.

The ideal candidate will also be involved in designing and building data management solutions, developing architectures to analyse and process data in a way that adds value to the organisation.

Preferred Qualifications & Experience:

• Preferred 6 years of experience in Analytics/BI, Data management (sourcing, consolidation, rationalisation, warehousing etc)
• Excellent customer interaction skills to present proposals, articulate analytics value to customers and lead customer engagements with a matrix structure
• Desirable to have strong knowledge in data management domain and consumer data analytics
• 5-7years of consulting/solution delivery/engineering experience in Finance/ Mining or Enterprise market.
• Strong technical team leadership, mentorship and ability collaborate with peer teams.
• Ability to develop relationships with partner companies and vendors.
• Graduate degree in Computer Science, Statistics or an equivalent Engineering degree required.

Technical Competencies:

• Ability to architect large scale big data analytic systems.
• Thorough understanding and hands on experience on Hadoop/Spark based distributed storage and computing frameworks.
• Good understanding of machine learning techniques and statistical methods such as predictive modelling, pattern recognition, text mining, sentiment analysis, index building, clustering.
• Knowledge of AI related technologies and Data Science.
• Proficiency in several technologies in the Big Data ecosystem, such as SQL, NoSQL, database design, ETL, Talend, Hadoop, MapReduce, Hive, Pig, Impala, Spark, HBase, Flume, Mahout, Scoop, Kafka, H2O
• Experience in programming scripting languages such as Python, Java, Ruby, Perl, Scala
• Experience in analytics tools such as R, SAS, SPSS, RapidMiner, Knime
• Real-Time analytics and batch processing
• Strong experience in architecting analytical applications in cloud environment such as Amazon Web Services, Microsoft Azure and Openstack