Job Description

Assistant ManagerEXL/AM/1481367


Transport & LogisticsNoida
Posted On
17 Sep 2025
End Date
01 Nov 2025
Required Experience
3 - 5 Years



Basic Section
Number Of Positions


1


Band


B1


Band Name


Assistant Manager


Cost Code


5213601


Campus/Non Campus


-


Employment Type


Permanent


Requisition Type


New


Max CTC


800000.0000 - 1000000.0000


Complexity Level


Back Office (Complexity Level 3)


Work Type


Work From Office - Fully Working From EXL/ Client Offices


Organisational
Group


Emerging


Sub Group


Emerging Business Unit


Organization


Transport & Logistics


LOB


Back Office


SBU


Operations


Country


India


City


Noida


Center


Noida - Centre 59




Skills
Skill


ANALAYTICAL SKILLS


PYTHON AUTOMATION


SQL


ADVANCE MS EXCEL


VBA


Minimum Qualification


B.COM


Certification


No data available

Job Summary:

We are seeking a detail-oriented and analytical individual to join our team as an Analyst. The ideal candidate will be responsible for gathering, interpreting, and using data to support business decisions, identify trends, and provide actionable insights to improve performance and drive strategic initiatives.

Key Responsibilities:

Collect, process, and analyse data from internal and external sources Develop and maintain dashboards, reports, and KPIs Analyse complex datasets to identify trends, patterns, and opportunities Provide clear, concise, and actionable insights to stakeholders Support strategic planning, forecasting, and business decision-making Collaborate with cross-functional teams to understand data needs Ensure data integrity and accuracy across systems and reports Present findings in a visually effective and understandable format

Preferred Skills:

Advanced MS Excel and VBA Deep knowledge of Looker API & Integration Knowledge of Looker's Content Validator and Data Actions SQL and Big query Strong programming skills in Python for data manipulation, statistical analysis, and automation (experience with libraries like pandas, NumPy, scikit-learn) with strong understanding of supervised/unsupervised learning, neural networks, and NLP along with Familiarity to MLOps and CI/CD pipelines for ML models Data Modelling & BI Concepts Google Sheet and APP Scripts Knowledge of statistical tools and techniques Business & Domain Knowledge, Understanding key business metrics and KPIs Strong communication skills to explain complex findings to non-technical stakeholders Clear and concise verbal communication with active listening to fully understand client needs and concerns
Workflow
Workflow Type


Back Office