Description:
- A South African-based technology company that provides end-to-end cloud-based
Responsibilities:
-
Pipeline Management: Design and maintain ETL/ELT pipelines using Python.
-
Integration: Consolidate FMCG data sources (Sell-in/out, POS, Distributor, and Execution systems).
-
Optimization: Automate recurring data loads and business logic while ensuring data quality and timeliness.
-
Visualization: Develop high-impact dashboards and self-service analytics tools.
-
Data Modeling: Architect efficient models to support fast, flexible reporting.
-
Requirements: Translate business questions into technical analytical specifications.
-
Stakeholder Engagement: Validate insights and document data definitions and logic.
-
Standards: Contribute to the continuous improvement of BI processes and documentation.
Minimum Requirements:
-
Experience: 2–5 years in BI, analytics, or data engineering.
-
Python: Strong proficiency in Pandas, NumPy, and automation scripting.
-
SQL: Advanced skills (CTEs, window functions, and query optimization).
-
BI Tools: Experience with Power BI, Tableau, Looker, or similar platforms.
-
Architecture: Solid understanding of data warehousing concepts.
-
Experience with Route-to-Market (RTM) or distributor data.
-
Exposure to Cloud platforms (Azure, AWS, or GCP).
-
Knowledge of forecasting or demand planning.
- Degree/Diploma in Information Systems, Data Science, Computer Engineering, or a related field.
Benefits:
- Competitive salary based on experience (salary can potentially be more based on experience/skills)
IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to itcareers@hireresolve.za.com
Requirements:
- A South African-based technology company that provides end-to-end cloud-based
Responsibilities:
-
Pipeline Management: Design and maintain ETL/ELT pipelines using Python.
-
Integration: Consolidate FMCG data sources (Sell-in/out, POS, Distributor, and Execution systems).
-
Optimization: Automate recurring data loads and business logic while ensuring data quality and timeliness.
-
Visualization: Develop high-impact dashboards and self-service analytics tools.
-
Data Modeling: Architect efficient models to support fast, flexible reporting.
-
Requirements: Translate business questions into technical analytical specifications.
-
Stakeholder Engagement: Validate insights and document data definitions and logic.
-
Standards: Contribute to the continuous improvement of BI processes and documentation.
Minimum Requirements:
-
Experience: 2–5 years in BI, analytics, or data engineering.
-
Python: Strong proficiency in Pandas, NumPy, and automation scripting.
-
SQL: Advanced skills (CTEs, window functions, and query optimization).
-
BI Tools: Experience with Power BI, Tableau, Looker, or similar platforms.
-
Architecture: Solid understanding of data warehousing concepts.
-
Experience with Route-to-Market (RTM) or distributor data.
-
Exposure to Cloud platforms (Azure, AWS, or GCP).
-
Knowledge of forecasting or demand planning.
- Degree/Diploma in Information Systems, Data Science, Computer Engineering, or a related field.
Benefits:
- Competitive salary based on experience (salary can potentially be more based on experience/skills)
IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to itcareers@hireresolve.za.com
- A South African-based technology company that provides end-to-end cloud-based
Responsibilities:
-
Pipeline Management: Design and maintain ETL/ELT pipelines using Python.
-
Integration: Consolidate FMCG data sources (Sell-in/out, POS, Distributor, and Execution systems).
-
Optimization: Automate recurring data loads and business logic while ensuring data quality and timeliness.
-
Visualization: Develop high-impact dashboards and self-service analytics tools.
-
Data Modeling: Architect efficient models to support fast, flexible reporting.
-
Requirements: Translate business questions into technical analytical specifications.
-
Stakeholder Engagement: Validate insights and document data definitions and logic.
-
Standards: Contribute to the continuous improvement of BI processes and documentation.
Minimum Requirements:
-
Experience: 2–5 years in BI, analytics, or data engineering.
-
Python: Strong proficiency in Pandas, NumPy, and automation scripting.
-
SQL: Advanced skills (CTEs, window functions, and query optimization).
-
BI Tools: Experience with Power BI, Tableau, Looker, or similar platforms.
-
Architecture: Solid understanding of data warehousing concepts.
-
Experience with Route-to-Market (RTM) or distributor data.
-
Exposure to Cloud platforms (Azure, AWS, or GCP).
-
Knowledge of forecasting or demand planning.
- Degree/Diploma in Information Systems, Data Science, Computer Engineering, or a related field.
Benefits:
- Competitive salary based on experience (salary can potentially be more based on experience/skills)
IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to itcareers@hireresolve.za.com
- A South African-based technology company that provides end-to-end cloud-based
Responsibilities:
-
Pipeline Management: Design and maintain ETL/ELT pipelines using Python.
-
Integration: Consolidate FMCG data sources (Sell-in/out, POS, Distributor, and Execution systems).
-
Optimization: Automate recurring data loads and business logic while ensuring data quality and timeliness.
-
Visualization: Develop high-impact dashboards and self-service analytics tools.
-
Data Modeling: Architect efficient models to support fast, flexible reporting.
-
Requirements: Translate business questions into technical analytical specifications.
-
Stakeholder Engagement: Validate insights and document data definitions and logic.
-
Standards: Contribute to the continuous improvement of BI processes and documentation.
Minimum Requirements:
-
Experience: 2–5 years in BI, analytics, or data engineering.
-
Python: Strong proficiency in Pandas, NumPy, and automation scripting.
-
SQL: Advanced skills (CTEs, window functions, and query optimization).
-
BI Tools: Experience with Power BI, Tableau, Looker, or similar platforms.
-
Architecture: Solid understanding of data warehousing concepts.
-
Experience with Route-to-Market (RTM) or distributor data.
-
Exposure to Cloud platforms (Azure, AWS, or GCP).
-
Knowledge of forecasting or demand planning.
- Degree/Diploma in Information Systems, Data Science, Computer Engineering, or a related field.
Benefits:
- Competitive salary based on experience (salary can potentially be more based on experience/skills)
IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to itcareers@hireresolve.za.com
-
Pipeline Management: Design and maintain ETL/ELT pipelines using Python.
-
Integration: Consolidate FMCG data sources (Sell-in/out, POS, Distributor, and Execution systems).
-
Optimization: Automate recurring data loads and business logic while ensuring data quality and timeliness.
-
Visualization: Develop high-impact dashboards and self-service analytics tools.
-
Data Modeling: Architect efficient models to support fast, flexible reporting.
-
Requirements: Translate business questions into technical analytical specifications.
-
Stakeholder Engagement: Validate insights and document data definitions and logic.
-
Standards: Contribute to the continuous improvement of BI processes and documentation.
-
Experience: 2–5 years in BI, analytics, or data engineering.
-
Python: Strong proficiency in Pandas, NumPy, and automation scripting.
-
SQL: Advanced skills (CTEs, window functions, and query optimization).
-
BI Tools: Experience with Power BI, Tableau, Looker, or similar platforms.
-
Architecture: Solid understanding of data warehousing concepts.
-
Experience with Route-to-Market (RTM) or distributor data.
-
Exposure to Cloud platforms (Azure, AWS, or GCP).
-
Knowledge of forecasting or demand planning.
- Degree/Diploma in Information Systems, Data Science, Computer Engineering, or a related field.
- Competitive salary based on experience (salary can potentially be more based on experience/skills)