Overview:
Our client is 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.
Duties:
- 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 client’s 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
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
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 organization’s 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 schedules and milestones and ensure that deliverables are completed on time for oneself and your team