Data Analyst – AI & Automation

Idenfo; Karachi Division; Hybrid; PKR 1,000,000 - 1,500,000; Full time

Job summary

A leading RegTech product company in Karachi is seeking a Data Analyst – AI & Automation to enhance product performance through data analytics and automation workflows. The ideal candidate will collaborate with development and product teams, possessing strong skills in Python and SQL. Responsibilities include building automated data pipelines, supporting AI initiatives, and delivering actionable insights from compliance datasets. This high-impact role offers flexibility and exposure to real-world AML/KYC challenges.

Benefits

Collaborative culture with Development and DevOps teams

Flexible, hybrid-friendly work setup

Qualifications

• 2–3 years of experience as a Data Analyst or similar role in a tech product company.
• Strong hands-on expertise in Python (data analysis, scripting, automation).
• Advanced SQL skills (joins, performance tuning, query optimization).

Responsibilities

• Build and maintain automated data pipelines for ingestion and transformation.
• Support and enhance AI-driven initiatives including LLM-based tools.
• Collaborate with Compliance to translate regulatory requirements into data solutions.

Skills

Python

SQL

Power BI

Data cleaning and transformation

Analytical thinking

Education

Background in Computer Science or Data Science

Tools

Git / Bitbucket

Job description

Location: Karachi, Pakistan – DHA Phase 6

Experience: 2–3 years

Idenfo is a RegTech product company operating in the AML/KYC space. We are looking for a Data Analyst – AI & Automation to join our team, where data, automation, and applied AI directly impact product performance and client outcomes.

This is a core product-facing data role, working closely with Development, SQA, DevOps, and Product teams. You will own data analytics, automation workflows, and innovation initiatives that improve efficiency, accuracy, and intelligence across operations.

Data Automation & Pipelines

• Build and maintain automated data pipelines for ingestion, transformation, validation, and reconciliation
• Implement data quality checks, delta comparisons, and monitoring mechanisms
• Reduce manual effort through Python-based automation

AI, NLP & Innovation

• Support and enhance AI-driven initiatives, including LLM-based tools, intelligent search, or chatbot-style solutions
• Work with RAG-based workflows, NLP pipelines, or rule-enhanced AI systems relevant to AML use cases
• Continuously explore emerging data and AI technologies and propose practical implementations

Database & Performance Optimization

• Write, optimize, and maintain complex SQL queries for analytics and operational use
• Improve database structures and query performance in collaboration with the development team

Cross-Functional Collaboration

• Work closely with Developers, SQA, and DevOps to ensure data reliability across environments
• Collaborate with Compliance and Product teams to translate regulatory and business requirements into data solutions
• Present insights and recommendations to senior management and leadership

Data Analytics & Reporting

• Design, develop, and maintain dashboards for Name Screening metrics
• Deliver actionable insights from large operational and compliance datasets
• Support internal stakeholders with ad-hoc analysis, trends, and performance reporting

Required Skills & Experience

Must-Have

• 2–3 years of experience as a Data Analyst or similar role in a tech product company
• Strong hands-on expertise in Python (data analysis, scripting, automation)
• Advanced SQL skills (joins, performance tuning, query optimization)
• Proven experience with Power BI (dashboards, data modeling, DAX basics)
• Solid understanding of data cleaning, wrangling, and transformation
• Experience working with production data systems in collaboration with Dev teams

Good to Have

• Exposure to AML, KYC, FinTech, or RegTech data
• Experience with web scraping and handling unstructured datasets
• Familiarity with LLMs, NLP frameworks, LangChain, or RAG-based systems
• Experience using Git / Bitbucket in collaborative environments
• Background in Computer Science, or Data Science

What We're Looking For

• Someone who owns problems end-to-end, not just reports numbers
• Strong analytical thinking with a bias toward automation and efficiency
• Comfortable working in a product-based tech environment
• Able to clearly with both technical and non-technical stakeholders
• Curious, proactive, and continuously improving their skill set

Why Join Idenfo

• Work on real-world AML/KYC problems used by global clients
• High-impact role with direct visibility and ownership
• Exposure to AI, automation, and scalable data systems
• Collaborative culture with Development, SQA, and DevOps teams
• Flexible, hybrid-friendly work setup