Talent Mobility Information System (TMIS) Analyst
Job Description
Key Responsibilities:
- Maintain and update resource management data in RMIS tools and databases.
- Generate periodic and ad hoc reports to support resource planning and decision-making.
- Create and manage interactive dashboards and data visualizations using Excel or other tools (e.g., Power BI/Tableau).
- Ensure data accuracy, consistency, and integrity across all reports and dashboards.
- Identify trends, patterns, and anomalies in data to provide insights and recommendations to the team.
- Support automation of recurring reporting tasks to improve efficiency. Collaborate with cross-functional teams including HR, Finance, and Project Managers to gather reporting requirements.
- Provide support during audits and data reconciliation processes.
Required Skills and Qualifications:
- 3 to 4 years of hands-on experience in reporting and data management roles.
- Proficient in Advanced Excel functions including pivot tables, macros, lookups, conditional formatting, data validation, and formulas.
- Strong understanding of data visualization and dashboard creation.
- Knowledge of reporting tools like Power BI, Tableau, or similar is a plus.
- Experience with automating reports using Excel VBA, Power Query, or other scripting tools is an advantage.
- Excellent analytical, problem-solving, and communication skills.
- High attention to detail and data accuracy.
- Bachelor's degree in a related field (e.g., Business, IT, Statistics, or similar).
Preferred Skills:
- Experience in a Resource Management or Workforce Planning environment.
- Understanding of TMIS or similar systems and how they support business operations.
- Exposure to SQL or other database querying tools (optional but beneficial).
More Info
Job Type:
Industry:
Function:
Employment Type:
Key Skills
About Company
Trianz is a leading-edge technology platforms and services company that accelerates digital transformations at Fortune 100 and emerging companies worldwide in data analytics, digital experiences, cloud infrastructure, and security. Our quot;IP Led Transformationsquot; approach, informed by insights from a recent global study spanning 20+ industries and 5000+ companies, addresses challenges posed by the rapid pace of AI-driven transformation, digital talent scarcity, and economic uncertainty
