Senior Data Analyst – AI&ML

li{ font-size: 14px;} p{ font-size: 14px;}

Company Overview

Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential.

Our seasoned professionals deliver services based on Milestone’s best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT. With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity. Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed.

Job Overview

Senior Data Analyst – AI&ML

Role Summary

We are looking for a highly skilled data-focused engineer/analyst with strong expertise in SQL, Power BI, and Python, complemented by practical AI/ML and GenAI experience.

This role sits at the intersection of analytics, data engineering, and AI, focusing on building data-driven products, advanced analytics, and intelligent solutions across key business domains such as fraud, pricing, customer behavior, and operational analytics.

What You’ll Do

Data Analytics & BI (Core Focus)

Analyze large and complex datasets to generate actionable business insights

Design and develop interactive dashboards and reports in Power BI

Build robust data models, measures (DAX), and KPI frameworks

Ensure data accuracy, consistency, and performance optimization in reporting

Translate business requirements into scalable analytics solutions

SQL & Data Engineering

Write and optimize complex SQL queries across large datasets

Work with structured and semi-structured data across data platforms (e.g., Snowflake, AWS, Azure)

Build and maintain data pipelines and transformations (ETL/ELT)

Ensure data quality, lineage, and governance across datasets

AI / ML & GenAI Application Development

Develop basic ML models and predictive analytics solutions (classification, regression, etc.)

Build lightweight AI/ML use cases to enhance analytics (e.g., forecasting, anomaly detection)

Leverage GenAI tools (LLMs, APIs) to develop internal applications, automation, or insight generation tools

Integrate AI capabilities into dashboards, workflows, and data products

Python Development

Use Python for data processing, automation, and model development

Work with libraries such as Pandas, NumPy, Scikit-learn, etc.

Build scripts and lightweight services to support analytics and AI use cases

Collaboration & Delivery

Collaborate with product, engineering, and business teams to deliver end-to-end solutions

Translate business problems into data and AI-driven approaches

Communicate insights effectively to both technical and non-technical stakeholders

What We’re Looking For

Required Skills

Strong experience in SQL (complex queries, optimization, large datasets)

Strong hands-on experience with Power BI (data modeling, DAX, visualization)

Solid understanding of data analysis, data structures, and data platforms

Proficiency in Python for data analysis and automation

Practical understanding of machine learning concepts

Experience working with end-to-end data pipelines and transformations

Strong analytical thinking and problem-solving skills

Nice to Have

Experience building or integrating GenAI applicati…