Data Analytics Engineer

Found in: Talent ZA C2 - 2 weeks ago

Centurion, South Africa Luminary Talent Sourcing Full time

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 visualization is key to fulfill an end-to-end role within the Business Intelligence space. The role requires experience from technical preparation, ingestion and orchestration to business report visualization.  



Requirements

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:

o   Tableau (Required)

o   Power BI (Beneficial)

o   Microsoft SQL

o   Microsoft Azure Fundamentals

o   Data staging, preparation, and cleansing

o   Database Warehousing Methodologies and Best Practices

o   Data Modelling

o   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 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 visualization 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 nonverbal 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.

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