Data Analyst & AI Specialist

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

Experienced Data Analyst & AI Specialist with 7+ years in data analysis, statistical modeling, and machine learning. Skilled in data visualization, prompt engineering, and database management, with a strong foundation in big data technologies and cloud computing.

Key Skills & Expertise:

• Data Analysis & Statistical Modeling: Proven ability to analyze, interpret, and model complex datasets for business insights.
  
• SQL & Programming: Proficient in SQL, with expertise in data querying, optimization, and management.
  
• Prompt Engineering & AI: Strong understanding of prompt engineering, machine learning (ML), and Generative AI (GenAI).
  
• Data Visualization: Hands-on experience with data visualization techniques, utilizing tools like Power BI, Tableau, Looker Studio (good to have).
  
• Big Data & Cloud Technologies: Familiar with big data frameworks, cloud computing platforms, and data warehousing solutions.
  
• Data Mining & Predictive Modeling: Skilled in data mining techniques and predictive analytics for actionable insights.
  
• Large-Scale Data Handling: Experienced in working with large datasets, databases, and on-prem to cloud migrations.
  
• Communication & Problem-Solving: Strong analytical thinking, teamwork, and ability to interpret complex data for business decisions.
  
• Industry Expertise: Knowledge of the Finance domain (good to have).
  

Benefits

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