Description:
A leading intelligent solutions company is looking for an experienced Data Analyst to join their team. The ideal candidate will be responsible for conducting data analysis, implementing and maintaining data solutions, and working closely with clients and stakeholders to deliver high-quality insights. This role requires strong SQL skills, experience in data transformation, and the ability to identify and interpret trends to support data-driven decision-making.
Key Responsibilities
- Conduct regular and ad-hoc data projects.
- Source, transform, and manage data using SQL and other relevant tools.
- Extract, manipulate, and analyze data to meet client requirements.
- Communicate with clients and stakeholders to determine project needs and deliverables.
- Design and implement process improvements for data management.
- Handle ad-hoc queries and documentation of data processes.
- Combine raw data from multiple sources and enhance data quality and reliability.
- Prepare data for prescriptive and predictive modeling in collaboration with data scientists and architects.
- Develop and maintain ETL pipelines with strong data governance.
- Identify and interpret trends and patterns in large datasets.
Requirements
Qualifications
- National Diploma in Information Technology (Software Development) OR
- BSc in Mathematics, Statistics, or Computer Science
- MCSE Certificate in Data Management & Analytics or Business Intelligence (preferred)
Technical Skills
- Strong SQL database design and development experience.
- Proficiency in Microsoft tools (SQL, SSMS, Visual Studio, SSIS, VS Code, Azure).
- Experience in R and Python.
- Ability to work with different programming tools based on project needs.
- Experience in process automation and troubleshooting.
- Understanding of data modeling, design, governance, and management.
- Expertise in data extraction, cleaning, enrichment, and transformation.
- Ability to build ETL pipelines and data systems aligned with business strategy.
Non-Technical Skills
- Strong analytical and problem-solving abilities.
- Excellent written and verbal communication skills.
- Ability to work both independently and within a team.
- Strong critical thinking and attention to detail.
- Ability to prioritize tasks, estimate work effort, and meet deadlines.
- Creative and innovative approach to data analysis.
- Passion for learning, exploring new technologies, and improving processes.
- Positive attitude and ability to adapt to changing needs.
𝗛𝗼𝘄 𝘁𝗼 𝗔𝗽𝗽𝗹𝘆:
Apply today by emailing your CV to itcareers@hireresolve.za.com or visit our website: www.hireresolve.co.za 👏🏾👏🏾✅
𝐀𝐥𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐯𝐞𝐥𝐲
Required documents to be sent to : ambre.nell@hireresolve.us
📌 Please use the Job Title and Location as your subject line!
Or connect with myself on LinkedIn 😎
Requirements:
- Conduct regular and ad-hoc data projects.
- Source, transform, and manage data using SQL and other relevant tools.
- Extract, manipulate, and analyze data to meet client requirements.
- Communicate with clients and stakeholders to determine project needs and deliverables.
- Design and implement process improvements for data management.
- Handle ad-hoc queries and documentation of data processes.
- Combine raw data from multiple sources and enhance data quality and reliability.
- Prepare data for prescriptive and predictive modeling in collaboration with data scientists and architects.
- Develop and maintain ETL pipelines with strong data governance.
- Identify and interpret trends and patterns in large datasets.
- National Diploma in Information Technology (Software Development) OR
- BSc in Mathematics, Statistics, or Computer Science
- MCSE Certificate in Data Management & Analytics or Business Intelligence (preferred)
- Strong SQL database design and development experience.
- Proficiency in Microsoft tools (SQL, SSMS, Visual Studio, SSIS, VS Code, Azure).
- Experience in R and Python.
- Ability to work with different programming tools based on project needs.
- Experience in process automation and troubleshooting.
- Understanding of data modeling, design, governance, and management.
- Expertise in data extraction, cleaning, enrichment, and transformation.
- Ability to build ETL pipelines and data systems aligned with business strategy.
- Strong analytical and problem-solving abilities.
- Excellent written and verbal communication skills.
- Ability to work both independently and within a team.
- Strong critical thinking and attention to detail.
- Ability to prioritize tasks, estimate work effort, and meet deadlines.
- Creative and innovative approach to data analysis.
- Passion for learning, exploring new technologies, and improving processes.
- Positive attitude and ability to adapt to changing needs.
26 Feb 2025;
from:
careers24.com