Digital Consultant-Data & Analytics
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Job Location:
Monthly Salary:
Posted on:
15 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
Responsibility
- Lead Data Analytics Project Delivery
Provide technical leadership delivery assurance and strategic input across client engagements and internal initiatives. - Manage Data Teams and Clients
Work closely with teams clients and vendors to understand requirements deliver insights and ensure successful system deployments. - Design and Deliver Data Solutions
Develop and implement data-driven solutions including dashboards reports and analytics tools to support project and portfolio performance. - Build and Maintain Data Infrastructure
Design develop and maintain scalable data pipelines and workflows using cloud technologies APIs and automation tools. - Leverage Modern Technologies
Utilize tools such as Microsoft Azure AWS SQL Python Power BI M365 Power Platform and AI/ML to extract transform and analyze data. - Ensure Data Quality and Governance
Monitor analyze and resolve data quality issues while ensuring compliance with data governance standards and best practices. - Drive Digital Transformation
Contribute to digital data and technology initiatives by identifying opportunities for innovation automation and process improvement. - Document and Communicate Effectively
Produce high-quality documentation technical specifications and presentations to support solution design and stakeholder engagement. - Foster Innovation and Mentorship
Champion a culture of continuous improvement mentoring team members and promoting inclusive high-performing work environments.
Qualifications :
- Degree in Computer/Data Science Engineering Business or a related field.
- 5 years of experience or above in data-focused roles such as Data Analyst Data Engineer or Digital Consultant.
- Hands-on experience with data platforms (e.g. Azure Synapse Data Lake) analytics tools (Power BI Tableau) and programming languages (SQL Python Spark).
- Proficient in SQL Python Power BI and cloud platforms (Azure AWS GCP); experienced with tools like Databricks Azure Data Factory and Power Platform.
- Strong understanding of data modeling data pipelines governance and enterprise architecture principles.
- Skilled in automation API integration and DevOps practices including CI/CD and version control (e.g. Git).
- Understanding of digital strategy business process improvement and the human-technology interface in transformation initiatives.
- Excellent written and verbal communication skills; able to convey technical concepts to non-technical audiences.
Additional Information :
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Remote Work :
No
Employment Type :
Full-time
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
Working in partnership makes it possible to deliver the worlds most impactful projects and programmes. Together with our clients, we turn challenge into opportunity and complexity into success across real estate, infrastructure, energy and natural resources. Website https://www. ... View more
