Data Analyst

SUMMARY:
New job opportunity for Data Analyst

POSITION INFO:
New Job opportunity for Data Analyst 

Purpose of role:

• Data Analyst will be part of a team that conducts regular and adhoc data projects.
• Data Analyst required to implement and maintain solutions including data sourcing, data transformation using SQL.
• Data Analyst will be communicating with client and end-user to determine purpose and end solution requirements.
• The role will also cover data extraction and data manipulation to fulfil client requirements, including adhoc requests, documentation, effective communication with external clients and internal stakeholders.
• Investigation, design, and implementation of improvements to existing processes
• Ad-hoc queries relating to broad spectrum data and products
• Documenting and general maintenance of processes
• Combine raw data from multiple sources and explore ways to enhance data quality and reliability
• Prepare data for prescriptive and predictive modelling and collaborate with data scientists and architects on projects
• Identify and interpret trends and patterns
• Build data systems (ETLs) and pipelines with proper data governance in line with the overall organizational strategy

• National Diploma: Information Technology (IT – Software Development)
• BSC (Maths, Stats, Comp science)
• Solid experience in all Microsoft products (SQL, SSMS, Visual Studio, SSIS, VS code, Azure)
• Knowledge and experience in R and Python
• Ability to adapt to different programming tools based on project at hand
• Proficient in automation of processes and troubleshooting
• MCSE Certificate-Data Management and Analytics or Business Intelligence
• 5 Years' relevant experience 

• Experienced in SQL database design
• Understand the concepts, principles, and implementation of data modelling, design, governance, and data management
• Skilled at gathering, cleaning, enriching, and transforming data into the desired format to incorporate better decision-making in less time
• Understand the processes, roles, policies, standards, and metrics that ensure the effective and efficient use of data/information