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Form of work
SalaryRole: Data Solutions Architect
Description of type of work performed: As a Data Solutions Architect, you will be instrumental in spearheading data automation and analysis initiatives to propel the achievement of US Consulting & Digital Services targets for growth and operational efficiency gains. On a day-to-day basis, you will:
- Engage with stakeholders to comprehend automation, reporting, and analysis requirements
- Devise and execute tailored applications and solutions to streamline operational workflows
- Establish intricate process flows across applications to elevate data management and operational efficiency
- Analyze and interpret data to furnish actionable insights for informed decision-making
- Collaborate closely with C&DS teams to prioritize and tackle the significant backlog of requests for automation and reporting
- Enhance and maintain existing Data Solutions to ensure sustained effectiveness and relevance
Skills:
- Need: Proficiency in SharePoint, Microsoft Power Platform (Power Apps, Power Automate, etc.)
- Nice to Have: Familiarity with SQL, Power BI, Tableau
Educational Background:
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or related field
Work Experience:
- 5+ years of experience in data architecture, data engineering, or related roles
- Proven track record of developing and implementing data automation and analysis solutions
- Experience in collaborating with cross-functional teams to address business needs through data-driven initiatives
- Familiarity with agile methodologies and project management practices
This role presents a compelling opportunity for individuals with a passion for leveraging data to drive business success. If you possess the required educational background, work experience, and a drive for innovation, we invite you to apply and be an integral part of our team dedicated to shaping the future of our business through data excellence!
Educational Background:
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or related field
