Data Analytics Engineer (Tableau)

WELCOME TO MOYO

Data Analytics Engineer (Tableau)

We are looking for a passionate Data Analytics Engineer to turn data into information, information into insight and insight into business decisions.

Primary Duties And Responsibilities

Responsibilities include requirements analysis, design, database and report development capabilities with a core focus on Tableau Analytics Solutions. Previous exposure and/or a good understanding of source data analysis, data warehouse design, report building, and visualisation is key to fulfil an end-to-end role within the Business Intelligence space. The role requires experience from technical preparation, ingestion and orchestration to business report visualisation.

Required Qualifications

• Tertiary degree, diploma, or certificate in a related field (BSc, B.IT or BCom Informatics related degrees).

Experience And Knowledge

• 3 - 5 years working experience as a BI Reporting Analyst, Database Developer and/or Software Consultant.
• Working knowledge of Database design and Data analytics.

The ideal candidate must have at least 3 to 5 years experience in the following technologies, tools, and disciplines:

• Tableau (Required)
• Power BI (Beneficial)
• Microsoft SQL
• Microsoft Azure Fundamentals
• Data staging, preparation, and cleansing
• Database Warehousing Methodologies and Best Practices
• Data Modelling
• Data Consolidation

Key Responsibilities

• Business analysis and requirements gathering.
• Data analysis, design and reporting.
• Prepare analytical reports.
• Update database structures and information.
• Design and develop databases to store information for reporting.
• Document operational procedures.
• Document technical specifications or requirements.
• Provide technical support for software/technology maintenance or use.
• Data mapping and transformation.
• Migrating existing clients deliveries to new business intelligence platform.
• Data sourcing, cleansing, transformation, analysis and reporting within a business intelligence environment.
• Develop strong team and client relationships to create an ongoing partnership with team members and various client stakeholders.
• Extensive testing of solutions to ensure high quality deliverables.
• Initiate process changes and enhancements where necessary and ensure successful implementation thereof.
• Design, develop, implement and maintain reports and dashboards using visualisation tools such as Tableau and Microsoft Power BI platforms.

Competencies

• Critical Thinking: Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.
• Active Learning: Understanding the implications of new information for both current and future problem-solving and decision-making.
• Systems Analysis: Determining how a system should work and how changes in conditions, operations, and the environment will affect outcomes.
• Complex Problem Solving: Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
• Deductive Reasoning: The ability to apply general rules to specific problems to produce answers that make sense.
• Inductive Reasoning: The ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events).
• Excellent communication skills: Ability to engage with C-level stakeholders, both verbal and non-verbal and communicate a deep understanding of the business and a broad knowledge of technology and applications.
• Technical Literacy: Possess a high level of technical literacy, which helps them determine how a software solution fits into an organizations current structure and assists in the development of specifications and requirements.
• Analytical Assessment: A high level of analysis to examine current systems and determine overall project needs and scope.
• Schedule Management: Extensive time management skills to determine development