Job Description

Lead Assistant ManagerEXL/LAM/1485443


ServicesChennai
Posted On
03 Oct 2025
End Date
17 Nov 2025
Required Experience
2 - 5 Years



Basic Section
Number Of Positions


2


Band


B2


Band Name


Lead Assistant Manager


Cost Code


D005918


Campus/Non Campus


NON CAMPUS


Employment Type


Permanent


Requisition Type


New


Max CTC


1500000.0000 - 3000000.0000


Complexity Level


Not Applicable


Work Type


Work From Office - Fully Working From EXL/ Client Offices


Organisational
Group


Analytics


Sub Group


Retail Media & Hi-Tech


Organization


Services


LOB


Services


SBU


Analytics


Country


India


City


Chennai


Center


Chennai




Skills
Skill


Minimum Qualification


No data available


Certification


No data available



: Data & Analytics Specialist (BI/DE/DS/Ops)


Role Overview


We are seeking a versatile Data & Analytics Specialist who can work across the full spectrum of data capabilities--ranging from data engineering and pipeline management to business intelligence, advanced analytics, and operational excellence. This role is ideal for individuals who thrive in cross-functional environments, bridging the gap between data platforms, business teams, and operations.


Key Responsibilities

Business Intelligence (BI)

Build, maintain, and optimize dashboards, reports, and self-service analytics solutions. Translate business requirements into meaningful KPIs and data visualizations. Partner with stakeholders to enable data-driven decision-making.

Data Engineering (DE)

Design and maintain scalable ETL/ELT pipelines and data models. Ensure high-quality, clean, and reliable data is available for downstream use. Manage data warehouse / lakehouse platforms (e.g., Snowflake, BigQuery, Redshift, Databricks).

Data Science (DS)

Apply machine learning/statistical models to solve business problems. Develop predictive models (e.g., customer behavior, forecasting, anomaly detection). Work on model deployment and monitoring in collaboration with Ops/Engineering.

Operations (Ops)

Ensure smooth functioning of data pipelines and analytics infrastructure. Implement monitoring, alerting, and logging for data workflows and ML models. Support CI/CD processes, automation, and scalability for data products.

Required Skills & Experience

Technical Skills

:

+ Strong SQL and data modeling skills.
+ Hands-on with Python/R for analytics and ML.
+ Experience with cloud data platforms (AWS, Azure, or GCP).
+ Familiarity with data orchestration tools (Airflow, dbt, Prefect).
+ Visualization tools: Power BI, Tableau, or Looker.

Analytical Skills

: Ability to break down complex business problems into data solutions.

Ops Skills

: Understanding of DevOps/MLOps practices (CI/CD pipelines, monitoring, containerization with Docker/Kubernetes is a plus).

Collaboration Skills

: Ability to work with business, product, and tech stakeholders.

Qualifications

Bachelor's or Master's in Computer Science, Data Science, Statistics, Engineering, or related field. 3-7 years of hands-on experience across BI, DE, DS, or Ops roles (breadth over depth is valued). Strong problem-solving mindset with end-to-end ownership of data products.
Workflow
Workflow Type


L&S-DA-Consulting