
Assistant Manager Data Analytics
- Karachi, Sindh
- Permanent
- Full-time
The position is responsible
(i) to gather system data, ensure accuracy, critically analyze it, provide insights & translate numbers into information for management decisions.
(ii) to review trends / recent numbers & find out reason behind for possible improvements.
(iii) For data automation & visualization as per business requirement.REQUIRED EDUCATION & EXPERIENCE
Bachelor's degree in Data Science, Computer Science, Statistics, or related field1-3 years in data analytics, with proven experience creating C-level dashboards and reportsKNOWLEDGE & SKILLSExpertise in SQL for complex querying and data manipulationProficiency in Power BI (DAX, Power Query) for visualization and analysisExperience with SAP Analytics Cloud (SAC) and SAP S/4HANA (preferred)Knowledge of ABAP and Core Data Services (CDS) for SAP data modeling and developmentData engineering skills (e.g., ETL, Azure Data Factory, Python) a plusStrong analytical, problem-solving, and communication skillsAREAS OF RESPONSIBILITY1 Performance Insights / Exceptional Reporting / Ad-hoc Reporting
- Generating useful Performance Insight for stakeholders, supporting data driven actions.
- Generate and deliver ad hoc reports to fulfill the specific information needs of top-level management, providing timely insights for decision-making.
- Support reporting team with data trends, predictive analysis, data analytics during target setting.
- Data Extraction and validation from multiple primary and secondary sources for data analytics and insights.
- Design and develop user-friendly dashboards, reports, and data models with 360 views of performance every BU.
- Designing Power Bi performance scorecard presenting daily progress towards vs targets and last year results.
- Prepare PowerPoint Presentations to communicate complex data and analysis effectively.
- Ensure data automation, reporting & analysis through system languages and tools.
- Proactively engage with the IT team to resolve any technical challenges related to data systems and tools.