Digital Analyst

Live Connections; Chennai; On-site; INR 2,250,000 - 2,750,000; Full time

Job summary

A leading recruitment firm in Chennai is seeking a Sr. Manager Client Servicing, specialized in digital analytics and business intelligence. The ideal candidate will have 5-8 years of experience in a data-driven e-commerce environment, managing insights and optimizing marketing strategies. A master's degree is required, and experience with tools like Adobe Analytics and SQL is preferred. This is a full-time, mid-senior level position.

Qualifications

• 5 - 8 years of experience in a data-driven e-commerce environment.
• Ability to analyze customer behavior and identify trends.
• Experience with data warehouses and ETL pipelines.

Responsibilities

• Improve data analytics foundation for insights and optimizations.
• Monitor market trends to aid decision-making.
• Deliver metrics and reports consistently.

Skills

Digital analytics experience

Customer behavior analysis

Data warehousing

Scripting and querying skills (SQL, Python/R)

Experience with analytics tools (Adobe Analytics, GA4)

Education

Master’s degree in Analytics, Engineering, Statistics, etc.

Tools

Adobe Analytics

Google Analytics 4 (GA4)

SQL

Tableau/Data Studio

Python/R

Job description

Direct message the job poster from Live Connections

Sr.Manager Client Servicing @ Live Connections

Mandatory Skills :

Title – Digital Analyst

Experience – 5 – 8 Years

CTC – 25 LPA ( 85 % fixed 15 % Variable )

NP – Immediate Joiner – 30 Days

Need profiles only from the Ecommerce Background.

While sharing the profiles, kindly rate the mandatory skills out of 5 and share the same with me along with the tracker

Good To have Skills :

Role and Responsibilities

• Build out and improve our data, analytics and business intelligence foundation to uncover insights that drive action and optimize investments across the marketing funnel
• Build product level analytics for tracking conversion funnel, platform performance & identify actionable insights
• Build customer transaction level analytics for tracking key leading KPIs & generate actionable insights by combining with qualitative inputs from the partners
• Deliver standardized suite of metrics, reports, and dashboards on a consistent cadence
• Monitor market trends and competition and work with product marketing and product management to respond in an appropriate and timely manner
• Solve business problems via product development & marketing and aid the decision-making process by using predictive modelling on internal and external data
• Work closely with the business/product teams to enable data-driven decision making.
• Lead and test marketing-tech integration developments and pilot processes to support expansion to new platforms & optimize older integrations
• Present proposals and results in a clear manner backed by data and coupled with actionable conclusions
• Collaborate with cross functional teams to drive day-to-day processes
• Generating accurate and meaningful analysis and actionable insights
• Own and deliver in-depth analysis For Marketing and Product Teams.

Skills Requirements

• 5 - 8 years of digital analytics experience in a data-driven e-commerce environment, highly preferred.
• Analyze customer behavior across digital e-commerce platforms to identify trends and opportunities using tools like Adobe Analytics, GA4, Mixpanel (Clickstream Analytics).
• Utilize Customer 360 view methodologies and assess Cross-channel performance to unify insights.
• Solve e-commerce business problems such as customer segmentation, personalization, recommendation engines, Pricing and churn prediction.
• Experience building data warehouses, managing ETL pipelines, and working with CDPs (e.g., Salesforce, Tealium).
• Manages tag implementation & data collection via GTM/dynamic Tag Managers to ensure accurate analytics pipelines.
• Advanced proficiency in scripting, querying and/or analytics languages and tools: SQL, Tableau/Data Studio, Python/R
• Qualification: Master’s degree in Analytics, Engineering, Statistics, Management Science, Applied Mathematics, or any other related field

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Management and Manufacturing

Industries

• Human Resources Services

Data Analytics & Business intelligence specialist