Assistant Manager

Basic Function

This position is expected create various reports, decks, slides for reports etc to leadership team. He/She will be expected to perform analytics on data received from various functions, do reporting and governance activities, dashboarding and small utility tool development using VBA/power Query, PowerPivot, Power BI, advanced Excel along with any other adhoc work that comes across.

Essential Functions:

• Responsible for the working on LOB level data and present it effectively
• Should be able to do multi-tasking
• Should have analytical mindset to ensure that there are enhancements done to the data set
• Work closely with Customer and team to achieve all the expectation
• Handle all the MIS related Customer and Management level reporting
• Attend conference calls related to Absence set-up issues/topics and provide consultation relative to resolution and next steps
• Good understanding of performance attributes i.e TAT, Quality, productivity, efficiency and effectiveness
• Support internal/external projects for the building of business requirements, design input
• Identify, solution and implement process and system improvements through continuous business and procedural analysis
• Extract existing data to calculate/format into presentable reports, charts and graphs. Add insight/draw inferences from raw data. Identify data anomalies, critically analyze and propose corrections
• Based on the weekly/monthly statistical analysis (Pareto, Histogram, Scatter Plot, Box Plot, Bubble Graphs, Bar, Line, Pie & Control charts) prepared on the above mentioned key metrics
• Performs other duties as assigned or required.

MetLife internal partners –

• Manager/SM/SDL for the purpose of training, reporting performance, escalation handling, clarifying concerns, and seeking feedback and support External Contacts

Primary External Interactions

• Cross – Functional

Organizational Relationships

Reports To:                                                                                         Supervises:

Skills

Technical Skills

• Ability to comprehend requirements and conceptualize data analysis and visualization
• Strong data analysis and superior problem-solving skills
• Strong PC Application Skills (MS Office, including PowerPoint and Advanced Excel) and Using Excel Productively
• Strong VBA and macro development skills
• Working knowledge of Power Query
• Proficient in Data & Business Analysis and Ability to break complex data and evaluation insights clearly and concisely
• Ability to communicate effectively both orally and in writing with various levels, including understanding, documenting complex ideas and requirements into actionable steps
• Must be flexible to mirror / overlap US Daytime work hours
• Power BI and Power query will have additional advantage

Soft skills (Mandatory / Desired)

• Excellent communication skills - both written and oral with the ability to explain complex subject matter to both technical and non-technical audiences so that issues are understood quickly and stakeholders are suitably engaged.
• Ability to drive continuous process improvement including the development of new processes and systems
• Experience with a change culture and fast paced developments.
• Self-starter & self-motivated, well organized and flexible with a sense of urgency approach
• Used to a fast pace of working and willing to commit to long working hours to achieve project deadlines when required
• Ability to establish priorities and handle multiple assignments concurrently with minimal direction in an evolving, fast paced work environment
• Self-disciplined, Self-Initiating and result oriented
• Ability to work with multiple stakeholders across
• Ability to proactively escalate issues when required
• High energy and resilience level

Education Requirements

• Bachelor’s degree in related field or equivalent experience

Work Experience Requirements

• 2-3 years relevant workplace experience in all work products
• Proficiency with software such as MS Office, MS Outlook, MS Project
• Strong computer skills, including proficiency with Excel identifying and understanding differences and similarities within multiple large data sets and software applications