Data Analyst

At Precisely, we're not just building software — we're shaping the future of data integrity. As a global leader in data quality, data enrichment, and location intelligence, Precisely helps thousands of the world's most trusted brands make confident decisions with data they can rely on. We're an AI-first organization, which means artificial intelligence isn't a buzzword here — it's woven into how we build products, how we work, and how we think about solving complex problems for our customers. When you join Precisely, you join a team of curious, driven innovators who believe that better data makes the world run better. If you're ready to do meaningful work at the intersection of AI and data — and help define what's possible — we'd love for you to apply!

Overview: We are seeking a forward-thinking Data Analyst / Software Developer who combines strong analytical skills, software development expertise, and a passion for leveraging AI driven solutions to solve complex business challenges. This role goes beyond traditional data analysis, focusing on data transformation, cloud-based technologies, automation, and the practical application of artificial intelligence to improve efficiency, quality, and scalability. The ideal candidate is curious, innovative, and eager to explore emerging technologies while helping shape the future of data driven solutions within our organization.

What you will do:

Analyze, transform, and validate data between source and destination systems using modern development practices, automation techniques, and AI assisted tools to improve accuracy, efficiency, and delivery speed.

Identify opportunities to apply artificial intelligence, machine learning, and automation technologies to streamline processes, improve data quality, reduce manual effort, and accelerate solution delivery.

Collaborate with business and technical stakeholders to refine requirements, participate in design sessions, and present ideas and recommendations to audiences with varying levels of technical expertise.

Define, design, and implement data transformation solutions ranging from incremental enhancements for existing customers to complex enterprise scale implementations for new customers.

Troubleshoot and resolve production and customer issues as part of a rotating on-call support schedule, leveraging both traditional diagnostic techniques and AI enabled diagnostic tools where appropriate.

Participate in peer reviews and technical design discussions to ensure solutions meet quality, security, maintainability, and performance standards.

Stay current with emerging technologies, AI innovations, and industry trends, bringing new ideas and continuous improvement opportunities to the team and the broader organization.

What we are looking for:

Bachelor’s degree in computer science, data science, software engineering or related field

AI first mindset.

Multiyear experience with data analytics and transformation

Python use and development

Hands-on experience with AWS services (e.g., S3, Lambda, EventBridge, et al.)

API design, development and use experience

Strong working experience with JSON, XML, and XSLT

Technical Skills

Languages: Python, XSLT

Cloud: AWS - S3, Lambda, EventBridge

Version Control: GitHub / GitLab

Infrastructure as code: Terraform

Demonstrable AI cowork and code tool use proficiency

Soft Skills

Strong analytical and problem-solving abilities

Excellent verbal and written communication skills

Ability to work independently and in team settings

Detail oriented with strong organization skills

A balanced approach to task management

AI Skills/Knowledge:

Experience with AI-assisted coding tools (e.g., GitHub Copilot, Claude Code) to accelerate development tasks

Use AI for code review, documentation, and test generation

Familiarity with LLM APIs and agentic workflows

Understands responsible AI principles including bias, security, and explainability

Proficient in using AI to accelerate data preparation for performance and regression testing

Preferred Skills (a plus but not required):

Experience with data validation tools

Familiarity with data transformation frameworks

Exposure to streaming data pipelines

Experience working in an Agile/Scrum environment

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