Senior Data Analyst

About The Company:

iLink Digital is a Global Software Solution Provider and Systems Integrator, delivers next-generation technology solutions to help clients solve complex business challenges, improve organizational effectiveness, increase business productivity, realize sustainable enterprise value and transform your business inside-out. iLink integrates software systems and develops custom applications, components, and frameworks on the latest platforms for IT departments, commercial accounts, application services providers (ASP) and independent software vendors (ISV). iLink solutions are used in a broad range of industries and functions, including healthcare, telecom, government, oil and gas, education, and life sciences. iLink’s expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal, collaboration & Social Employee Engagement, Embedded Systems and User Experience design etc.

 

What makes iLink's offerings unique is the fact that we use pre-created frameworks, designed to accelerate software development and implementation of business processes for our clients. iLink has over 60 frameworks (solution accelerators), both industry-specific and horizontal, that can be easily customized and enhanced to meet your current business challenges.

Requirements

We are seeking a skilled Ecommerce Analyst to design, develop, and maintain robust data pipelines and analytical reports for our e-commerce platform. The ideal candidate will leverage data from multiple sources, including GA4, Google Ads, Meta Ads, Tiktok and others, to deliver actionable insights and drive business growth, with a strong emphasis on using Power BI for reporting and Snowflake.

 

·       Bachelor’s degree in computer science, Data Science, Statistics, or a related field.

·       3+ years of experience in data engineering, data analysis, or a similar role, preferably in e-commerce.

Technical Skills:

-            Proficient in SQL and Python (or R) for data extraction, transformation, and analysis.

-            Strong experience with Snowflake, DBT data modelling, Dagster and ETL/ELT processes.

-            Advanced proficiency in Power BI for creating interactive dashboards and reports.

-            Familiarity with GA4, Google Ads, Meta Ads, Meta S2S, and Braze Marketing APIs.

-            Hands-on experience with BI tools (Power BI, Looker...) for reporting and visualization.

-            Experience with cloud platforms and data integration tools; familiarity with Google BigQuery or AWS is a plus.

-            Experience with e-commerce analytics, including funnel analysis, cohort analysis, and attribution modelling.

Soft Skills:

-            Strong analytical and problem-solving skills with a keen attention to detail.

-            Excellent communication skills to translate technical insights into business recommendations.

-            Ability to work independently and collaboratively in a fast-paced environment.

Roles and responsibilities:

Data Pipeline Development:

    - Build, optimize, and maintain scalable ETL/ELT pipelines using Snowflake to integrate data from diverse sources (GA4, Google Ads, Meta Ads, Meta S2S, Braze, etc.) into a centralized data warehouse.

Ensure data quality, consistency, and reliability across all data sources.

 

Data Analysis & Reporting:

-            Develop and automate interactive dashboards and reports using Power BI to monitor e-commerce KPIs (e.g., conversion rates, ROAS, customer acquisition costs).

-            Conduct in-depth analyses to uncover trends, customer behaviour, and campaign performance.

-            Provide actionable recommendations to optimize marketing strategies and improve ROI.

Data Integration & Transformation:

-            Work with APIs and server-to-server (S2S) integrations to collect and process data from platforms like Meta, Google, and Braze.

-            Transform raw data into structured formats for analysis using SQL, Python, or similar tools, leveraging Snowflake for efficient data processing.

Benefits

• Competitive salaries
  
• Medical Insurance
  
• Employee Referral Bonuses
  
• Performance Based Bonuses
  
• Flexible Work Options & Fun Culture
  
• Robust Learning & Development Programs
  
• In-House Technology Training