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Head of Data & AI
Milwaukee | Up to $250,000 + Benefits

An opportunity to lead both the data and wider technology agenda for a growing industrial organisation investing heavily in transformation. You will shape the data, AI and automation strategy while building the foundations needed to drive long-term business value.

The Company

Our client is an established manufacturing business undergoing significant technology change. Having invested in modern enterprise systems and analytics capabilities, they are now focused on strengthening data management, improving decision-making, and identifying practical AI opportunities across the organisation.

The Role
You will:

• Lead the data, AI and technology roadmap.
• Build strong data governance, management, and reporting capabilities.
• Develop the foundations required for successful AI adoption.
• Identify automation opportunities across finance, operations, and commercial teams.
• Enhance analytics and reporting using Power BI and enterprise data platforms.
• Partner with stakeholders across manufacturing, supply chain, finance, procurement, and sales.
• Lead and develop a multidisciplinary technology team.
• Advise senior leadership on technology strategy and emerging trends.

Your Skills & Experience

• Strong leadership experience across data, analytics, AI, and technology functions.
• Commercial experience delivering data, digital, or AI transformation initiatives.
• Expertise in data governance, reporting, business intelligence, and modern data platforms.
• Strong stakeholder management skills with the ability to translate business needs into technology solutions.

What They Offer

• Up to $250,000 base salary plus benefits (including a bonus).
• Hybrid working model (4 days a week in office)
• Opportunity to build and scale data and AI capabilities.
• Significant scope to shape technology strategy and business transformation.

How to Apply

If you are an experienced Data & AI leader looking to drive meaningful change and build a modern technology capability, apply today.

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Product Data Scientist

Hybrid – Sheffield (1x day per week)

£50,000 – £60,000

Are you a commercially minded Product Data Scientist who enjoys turning complex data into actionable insights? This is an opportunity to join a growing technology-led organisation where data plays a central role in shaping product strategy, improving customer outcomes, and driving business growth. You’ll have the chance to work across analytics, machine learning, customer journey analysis, and stakeholder engagement while influencing key business decisions.

The Company

They are a fast-growing, data-driven organisation that leverages technology to deliver impactful solutions to its customers. With a strong focus on innovation and continuous improvement, they are investing heavily in their data capabilities to support future growth. Their collaborative environment brings together product, commercial, operational, and technical teams to make better decisions through data. As they continue to scale, they are looking for a Product Data Scientist to help unlock deeper insights and create measurable business value.

The Role

You will:

• Analyse customer and user journeys to identify trends, opportunities, and areas for optimisation.
• Perform exploratory data analysis to understand product usage, engagement, and conversion behaviour.
• Develop predictive models, including churn prediction, engagement scoring, demand forecasting, and propensity modelling.
• Build customer segments and behavioural cohorts to support product, marketing, and customer success initiatives.
• Translate business questions into structured analytical approaches and actionable recommendations.
• Partner closely with engineering and data teams to define metrics and improve data models.
• Design and maintain dashboards, reports, and KPI frameworks for business stakeholders.
• Communicate complex analytical findings clearly to both technical and non-technical audiences.
• Support the adoption of data-driven decision making across the organisation

Your Skills & Experience

• Strong commercial experience as a Data Scientist, Product Data Scientist, Product Analyst, or similar analytics professional.
• Advanced SQL skills and experience working with cloud-based data warehouse environments.
• Strong Python or R capabilities for data analysis, statistical modelling, and machine learning.
• Experience building predictive models and applying analytical techniques to solve business problems.
• Understanding of customer journey analysis, funnel optimisation, retention analysis, and customer lifetime value metrics.
• Experience creating dashboards and visualisations using tools such as Power BI, Tableau, Looker, or similar.
• Ability to engage with stakeholders, gather requirements, and translate business needs into analytical solutions.
• Experience working with modern data platforms and analytics engineering environments is beneficial.

What They Offer

• Salary of £50,000 – £60,000.
• Hybrid working arrangement based in Sheffield.
• Opportunity to influence product and business strategy through data.
• Exposure to modern technologies including Snowflake, dbt, Python, and leading BI tools.
• A collaborative environment with strong cross-functional partnership.
• Clear opportunities for professional development and career progression as the data function continues to grow.

How to Apply

Register your interest today to learn more about this Product Data Scientist opportunity in Sheffield and discuss how your experience aligns with the role.

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Senior Site Reliability Engineer (SRE & AI Platform Operations)

Location: Netherlands (Hybrid) | Salary: Competitive + Benefits

This is an exciting opportunity for a Senior Site Reliability Engineer to play a key role in the reliability, scalability, and performance of a growing AI-enabled platform. You will work at the intersection of infrastructure, automation, and AI operations, helping to build resilient systems that support innovative products and services at scale.

The Company

They are a technology-led organisation focused on delivering high-quality digital experiences to a global customer base. With a strong emphasis on innovation, automation, and operational excellence, they continue to invest in modern cloud infrastructure and AI-driven capabilities. Their collaborative environment encourages knowledge sharing, continuous improvement, and technical ownership. This role offers the chance to influence platform reliability while supporting the adoption of emerging technologies.

The Role

• Design, build, and maintain reliable, scalable cloud infrastructure.
• Improve platform availability, performance, and operational resilience.
• Develop and enhance monitoring, alerting, and observability capabilities.
• Automate infrastructure management and operational processes.
• Support the operation and reliability of AI and machine learning platforms.
• Collaborate with engineering teams to improve deployment, testing, and release processes.
• Drive incident response, root cause analysis, and continuous service improvements.
• Contribute to platform security, compliance, and best practice engineering standards.

Your Skills & Experience

• Strong commercial experience in Site Reliability Engineering, Platform Engineering, or DevOps.
• Expertise with cloud platforms – Google Cloud.
• Strong knowledge of Infrastructure as Code tools, including Terraform or similar technologies.
• Experience with containerisation and orchestration technologies such as Docker and Kubernetes.
• Hands-on experience with monitoring, logging, and observability solutions.
• Strong understanding of CI/CD pipelines and automation practices.
• Experience supporting production environments with high availability requirements.
• Knowledge of AI, machine learning infrastructure, or AI platform operations would be highly beneficial.
• Excellent problem-solving, communication, and stakeholder engagement skills.

What They Offer

• Competitive salary package.
• Performance-related incentives and comprehensive benefits.
• Hybrid working and flexibility to support work-life balance.
• Exposure to modern cloud technologies and AI platforms.
• Career progression opportunities within a growing technology function.
• A collaborative environment focused on learning, innovation, and continuous improvement.

How to Apply

If you are an experienced Senior Site Reliability Engineer with a passion for cloud infrastructure, automation, and AI platform operations, apply today to learn more about this opportunity.

To Apply for this Job Click Here

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Enterprise Software Engineer

Up to £100,000

London (4 days a week in office)

If you’re an Enterprise Software Engineer looking to work on high-impact systems within a fast-paced investment environment, this is an excellent opportunity to build technology that directly supports business-critical decision-making. You’ll collaborate with a wide range of stakeholders and gain exposure to complex financial markets while working on scalable, modern software solutions.

THE COMPANY

They are a globally recognised investment management organisation with a strong focus on technology, innovation, and continuous improvement. Their engineering teams work closely with business users to solve complex challenges and deliver solutions that create tangible value across the organisation. They foster a collaborative environment where ideas are encouraged, innovation is supported, and professional development is prioritised. Employees benefit from working alongside experienced professionals across technology, operations, and investment functions.

THE ROLE

As an Enterprise Software Engineer, you will build impactful enterprise software used across a leading investment environment, working with modern technologies, complex challenges, and clear opportunities for career growth.

Specifically, you can expect to be involved in the following:

• Design, build, and maintain enterprise software applications that support key business functions.
• Develop scalable, reliable, and high-performance solutions using modern engineering practices.
• Partner with stakeholders to understand business requirements and translate them into technical solutions.
• Own projects throughout the full software development lifecycle, from design through deployment and support.
• Work with engineers across multiple teams to solve complex technical challenges.
• Contribute to the ongoing enhancement of software architecture, performance, and reliability.
• Help drive innovation by identifying opportunities to improve systems and development processes

SKILLS AND EXPERIENCE

The successful Enterprise Software Engineer will have the following skills and experience:

• Strong commercial experience developing production-grade software using Python.
• Experience with an object-oriented programming language such as Java or C#.
• Experience designing and delivering scalable enterprise applications.
• Good understanding of SQL databases and data management principles.
• Knowledge of financial markets or experience working with financial products.
• Strong analytical and problem-solving skills.
• Ability to collaborate effectively with both technical and non-technical stakeholders.
• Experience working in a regulated or financial services environment is advantageous.
• Exposure to AI-assisted development tools or practices would be beneficial.
• Degree in Computer Science or a related technical discipline, or equivalent practical experience.

BENEFITS

The successful Enterprise Software Engineer will receive the following benefits:

• Salary up to £100,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

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SENIOR DATA ENGINEER

DALLAS, TX

HYBRID

$140,000 – $160,000 + BENEFITS

A growing PE-backed company is seeking a Data Engineer to help build and own a modern cloud data platform. This person will play a key role in implementing Snowflake, developing data pipelines, improving data quality, and creating the foundation for reporting, analytics, and future AI initiatives.

What You’ll Do

• Build and support a Snowflake data warehouse
• Develop and maintain data pipelines and ETL/ELT processes
• Create data models and transformations using dbt
• Integrate data across multiple business systems
• Improve data governance, documentation, and data quality
• Partner with stakeholders to support reporting and analytics needs
• Take ownership of the environment after the initial implementation

What We’re Looking For

• 7+ years of Data Engineering experience
• Strong Snowflake and dbt expertise
• Experience with data warehousing and data pipelines
• Knowledge of ETL/ELT, data architecture, and governance
• Strong communication and stakeholder management skills

Nice to Have

• Fivetran
• Domo
• Data catalog tools
• Medallion Architecture
• Exposure to AI or Snowflake Cortex

Why Join?

• Greenfield Snowflake implementation
• High ownership and visibility
• Opportunity to shape a growing data function
• Future involvement in AI initiatives

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DIRECTOR OF ENGINEERING – REAL-TIME PLATFORMS & AUTONOMOUS TECHNOLOGY

PHOENIX, AZ

HYBRID

Up to $215,000 BASE + EQUITY + BENEFITS

The Opportunity We’re working with an emerging technology company focused on building software that powers remote operations, intelligent automation, and mission-critical decision making. Their platform combines live data, video, connected devices, and AI-driven capabilities to help customers manage and respond to real-world events more efficiently. They are seeking a Director of Engineering to serve as the company’s technical leader and engineering builder. This is a unique opportunity for someone who enjoys creating products from the ground up, solving complex technical challenges, and influencing everything from architecture and engineering practices to hiring strategy and team development. This role is ideal for a hands-on engineering leader who still loves building software while helping scale an organization.

The Engineering Environment The team is focused on:

• Real-time applications that support operational workflows
• Highly available cloud-based platforms and distributed systems
• Live data, video, and connected-device integrations
• AI-enabled products and autonomous capabilities
• Modern software development practices and automation
• Scalable architecture and long-term platform strategy
• Close collaboration across Product, Operations, and Engineering

What You’ll Do

• Define and lead the technical vision, architecture, and engineering roadmap
• Drive the evolution of the platform, identifying what should be enhanced, replaced, or rebuilt
• Stay actively involved in software development, architecture reviews, and technical decision making
• Build systems that are scalable, reliable, secure, and easy to maintain
• Create development standards, testing strategies, and release processes
• Own platform performance, monitoring, uptime, and operational readiness
• Partner with users and business stakeholders to solve real-world operational challenges
• Recruit, mentor, and grow a high-performing engineering team
• Evaluate new technologies and help guide strategic technical investments
• Support the adoption of AI-assisted development and intelligent automation initiatives

What We’re Looking For

• Extensive software engineering experience with a strong technical foundation
• Experience as a Principal Engineer, Technical Architect, Engineering Manager, or Director-level leader
• Strong hands-on coding skills and a willingness to stay close to the technology
• Deep expertise in software architecture, system design, and distributed applications
• Experience building and scaling products in startup or early-stage environments
• Strong understanding of frontend, backend, cloud infrastructure, and system integrations
• Experience owning production systems, reliability, monitoring, and incident management
• Track record of hiring, coaching, and developing engineering talent
• Excellent communication skills and cross-functional collaboration abilities
• Comfort working with AI-powered development tools and modern engineering workflows
• Ability to thrive in fast-moving, ambiguous, high-growth environments

Why This Role

• Build and shape the engineering organization from an early stage
• Own key technology decisions, architecture, and engineering processes
• Influence the future direction of a mission-critical software platform
• Work on products that bridge software and real-world operations
• Collaborate directly with executive leadership and product stakeholders
• High levels of autonomy, ownership, and visibility
• Significant equity opportunity with long-term growth potential
• Unique chance to leave a lasting impact on both the technology and the organization

This is an outstanding opportunity for a senior technical leader who wants to combine hands-on engineering with strategic leadership. The ideal candidate enjoys building products from the ground up, leading through influence and execution, and solving complex technical challenges in environments where software, operations, and emerging technologies intersect.

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Agentic AI Software Engineer

Hybrid, Houston (4 days per week in office)

About the Role

You’ll design and build AI agents that reason across complex workflows, interact with enterprise tools and systems, and take action on behalf of users. This includes intelligent support agents that understand user intent, retrieve information, and resolve or escalate requests, along with the applications, data pipelines, and infrastructure that support them.

What You’ll Do

Agent Development

• Design and build AI agents and agentic workflows combining LLMs, APIs, RAG, and business logic
• Build secure integrations with enterprise applications, databases, and knowledge sources
• Develop agent memory, context, guardrails, and evaluation frameworks for reliable production use

Application Development

• Build user facing applications and backend services that power AI agent experiences
• Own features end to end, from backend and AI orchestration through frontend experience
• Ensure applications and agentic systems are scalable, secure, and enterprise ready

Data & Infrastructure

• Build data pipelines, ETL workflows, and integrations with the Databricks Lakehouse platform
• Build RAG pipelines enabling agents to retrieve and reason over enterprise data
• Implement CI/CD, testing, observability, and monitoring across AI and application systems

What You’ll Need

• Bachelor’s degree in computer science, Software Engineering, or a related field
• 8+ years building production grade software, including recent, dedicated experience building AI agents and agentic workflows
• Experience with LLMs, RAG, tool calling, or agent orchestration frameworks
• Full stack development experience, including APIs, backend services, and frontend applications
• Experience designing agent memory, context, retrieval, or evaluation systems

Compensation & Benefits

Up to $180,000

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Senior Data Architect
Dallas, Texas | Onsite 4 Days per Week
$150,000 – $170,000 Base + Annual Bonus

Harnham is partnering with a leading financial services organization to hire a Senior Data Architect who will help shape the future of its enterprise data environment.

Operating across multiple business lines and a large, complex technology landscape, the organization is investing in the modernization of its data platform and the architecture required to support both current business needs and its longer-term AI strategy.

The Role

As a Senior Data Architect, you will help define how the organization moves from its current data environment toward a modern, scalable target-state architecture.

You will assess existing platforms and patterns, identify architectural gaps and constraints, define future and interim states, and establish migration roadmaps that engineering teams can execute against.

A key part of the position will be creating reusable architectural patterns and reference architectures across batch, near-real-time, and real-time data environments. You will work closely with engineering and business stakeholders across multiple areas of the organization to ensure architecture decisions balance scalability, performance, security, cost, risk, and business priorities.

This is not a purely conceptual architecture position. The team is looking for someone who can remain technically close to implementation, provide meaningful technical recommendations, challenge engineering designs, and help ensure architectural decisions translate effectively into production.

Key Responsibilities

• Define current-state, target-state, and interim data architectures and associated migration roadmaps.
• Develop reusable architecture patterns and reference architectures across batch, near-real-time, and real-time data workloads.
• Architect scalable cloud data solutions across AWS, Snowflake, and Kafka.
• Evaluate architectural options based on business impact, scalability, cost, risk, security, and implementation timelines.
• Partner closely with engineering teams to translate architecture strategy into production solutions.
• Establish and promote standards around data governance, data quality, metadata, lineage, and security.
• Support automation, CI/CD, and repeatable engineering practices across the data ecosystem.
• Provide technical guidance throughout implementation and validate that solutions align with established architectural standards.
• Help evolve the underlying data architecture to support emerging AI capabilities, including RAG, vector databases, MCP, and agentic AI.

What We Are Looking For

• Significant experience in Data Architecture, Enterprise Data Architecture, Cloud Data Architecture, or a closely related discipline.
• Strong experience designing enterprise-scale data platforms within large, complex organizations.
• Hands-on architectural experience with AWS and modern cloud data environments.
• Strong experience with Snowflake.
• Experience designing Kafka-based, event-driven, or real-time data architectures.
• Demonstrated experience defining target-state architectures and developing practical roadmaps from current to future state.
• Strong understanding of data governance, data quality, metadata, lineage, and enterprise data standards.
• Ability to work closely with engineering teams and remain technically involved beyond high-level architecture and documentation.
• Experience evaluating architectural trade-offs and communicating technical recommendations to both technical and business stakeholders.
• Previous data engineering or software engineering experience is highly valued.
• Exposure to RAG, vector databases, agentic AI, or other modern AI architecture concepts is beneficial but not required.

Why Join

This is an opportunity to have direct influence over the long-term direction of a large enterprise data platform rather than simply maintaining an established architecture.

You will have visibility across multiple business areas, contribute to foundational architecture decisions, and help establish the standards and patterns that engineering teams will use as the organization continues its cloud and AI transformation.

The position offers significant scope for end-to-end ownership while remaining close to the technical decisions that determine how the platform is ultimately built and operated.

Location

This position is based in the Dallas, Texas area and requires four days per week onsite.

Compensation

$150,000 – $170,000 base salary plus a 10% annual bonus.

To Apply for this Job Click Here

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Senior Data Engineer

Hybrid | Addison, TX (3 Days Onsite) $140,000 – $160,000 Base Salary U.S. Citizens & Green Card Holders Only

Shape the Data Foundation of a High-Growth, PE-Backed Organization

We’re partnering with a rapidly growing, private equity-backed services organization undergoing a major data transformation. Following a period of significant acquisition-driven growth, the company is investing heavily in modernizing its data platform, creating a rare opportunity for a hands-on Data Engineer to help build a scalable enterprise data ecosystem from the ground up.

This is not a maintenance role.

You’ll join at the beginning of a large-scale modernization initiative, working directly alongside an implementation partner to stand up a brand-new Snowflake environment, establish data architecture and governance standards, and build the pipelines and transformations that will power reporting, analytics, and future AI initiatives.

If you’re someone who enjoys creating structure from complexity, influencing data strategy, and owning systems end-to-end, this role offers exceptional visibility and long-term growth potential.

What You’ll Be Doing

• Partner with consultants and internal stakeholders to design and implement a new enterprise data platform centered around Snowflake
• Build and maintain scalable ELT pipelines using modern cloud data technologies
• Develop, optimize, and support dbt models and transformation frameworks
• Own backend data workflows from source system ingestion through reporting and analytics consumption
• Help establish data governance, cataloging, documentation, and quality standards
• Integrate data from multiple business systems into a centralized warehouse environment
• Support Domo reporting and analytics initiatives by delivering clean, trusted datasets
• Define best practices, architecture standards, and processes that will remain in place long after implementation is complete
• Collaborate with both technical and business stakeholders to ensure reporting consistency and data integrity across the organization

Key Technologies

Current & Future Stack

• Snowflake
• dbt
• Fivetran
• Domo
• Cloud Data Warehousing
• ELT / ETL
• Data Cataloging & Governance

What We’re Looking For

• 7+ years of experience in data engineering, data warehousing, or related data platform roles
• Strong experience building and supporting modern cloud data warehouse environments
• Hands-on Snowflake experience
• Proven expertise with dbt and data transformation frameworks
• Experience building and maintaining ELT/ETL pipelines
• Understanding of data architecture, modeling, and governance principles
• Experience supporting analytics and reporting teams through trusted datasets
• Ability to communicate effectively with both technical and non-technical stakeholders
• Comfortable working in environments where processes, standards, and data maturity are still evolving

Nice to Have

• Fivetran expertise
• Data catalog implementation experience
• Medallion Architecture exposure
• Experience participating in cloud modernization initiatives
• Exposure to Snowflake Cortex or AI-enabled data products

Why This Opportunity Stands Out

• High-impact greenfield data environment with significant ownership
• Opportunity to influence enterprise-wide data strategy and architecture
• Work directly with executive leadership on a highly visible transformation initiative
• Join during a critical platform implementation and become the long-term owner of the environment
• Clear growth trajectory as the organization continues to invest in data and AI capabilities
• Collaborative team with the ability to shape standards, processes, and future hiring decisions

Logistics

Location: Addison, TX

Schedule: Hybrid (Tuesday, Wednesday, Friday onsite)

Compensation: $140,000 – $160,000 base salary

Work Authorization: U.S. Citizen or Green Card Holder required. No current or future sponsorship available.

Target Start Date: October 2026

Interested? This is an opportunity to help build the data foundation for a growing enterprise while positioning yourself at the center of its long-term analytics and AI roadmap.

To Apply for this Job Click Here

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Full Stack Engineer

Up to £85,000

London (2 days a week in office)

This is an exciting opportunity to join a fast-growing technology business that is transforming how people engage with and manage their finances. You’ll work on a modern product, collaborate with highly skilled engineers, and play a key role in delivering innovative software in an AI-first engineering environment.

THE COMPANY

They are a high-growth technology organisation developing innovative digital products that help users make better decisions through data, analytics, and intuitive technology. Operating within a collaborative, cross-functional environment, they combine modern engineering practices with a strong focus on user experience and product excellence. Their teams work closely across technology, data, and operations to deliver scalable solutions and drive continuous innovation.

THE ROLE

As a Full Stack Engineer, you will join a cross-functional engineering squad, taking ownership of key areas of a client-facing web application while contributing across the software development lifecycle.

Specifically, you can expect to be involved in the following:

• Building and delivering new features within a modern web application using React, JavaScript, and TypeScript.
• Developing high-quality, scalable, and reusable code with a strong focus on performance and user experience.
• Collaborating with product, engineering, and operational teams to deliver business-critical functionality.
• Contributing to backend development when required, working with microservices and cloud-based technologies.
• Using AI-assisted development tools throughout the engineering lifecycle, including design, implementation, testing, and code review.
• Participating in agile delivery processes, sprint planning, estimation, testing, and releases.
• Helping to improve engineering standards, software quality, scalability, and operational efficiency.

SKILLS AND EXPERIENCE

The successful Full Stack Engineer will have the following skills and experience:

• Strong commercial experience developing front-end applications with JavaScript and TypeScript.
• Excellent knowledge of React and modern state management approaches.
• Practical experience using AI-assisted or agentic coding tools within software development workflows.
• Strong ability to review, test, and improve AI-generated code while maintaining high engineering standards.
• Knowledge of testing frameworks and test-driven development principles.
• Experience working with APIs and modern integration technologies, including GraphQL.
• Familiarity with CI/CD pipelines, cloud environments, and software documentation.
• Experience with Java or Kotlin, Spring Boot, microservices, PostgreSQL, Kafka, Docker, AWS, and Kubernetes would be highly beneficial.
• Strong communication skills and the ability to thrive in a collaborative environment.

BENEFITS

The successful Full Stack Engineer will receive the following benefits:

• Salary up to £85,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

DATA ANALYST
REMOTE (UK)
UP TO £55,000

This is an excellent opportunity for a commercially minded Data Analyst with a strong finance background to join a growing, data-driven organisation. Sitting within a small finance team and reporting to the Finance Director, you’ll play a key role in improving reporting, strengthening data quality, and supporting business decision-making through financial and operational insights.

ROLES AND RESPONSIBILITIES:
The Dtaa Analyst will:

• Own and develop finance reporting and management information.
• Support quarterly forecasting processes and maintaining financial models covering forecasts, business plans, and cash flow.
• Reconcile data across Xero, SQL, and Power BI environments.
• Manage and uploading finance and operational data.
• Produce board-level reporting on cash performance, operational metrics, and key business KPIs.
• Analyse large datasets to identify trends, variances, and performance against expectations.
• Build new reports and enhancing existing reporting processes.
• Investigate data discrepancies and ensuring data integrity.
• Collaborate with finance, technology, and data stakeholders to improve reporting capabilities.

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:

• Strong accounting or finance background with experience in financial analysis and reporting.
• Advanced Excel skills, including financial modelling and data analysis.
• Practical experience using SQL and Power BI.
• Experience working with large datasets, reconciliations, and data validation.
• Ability to interpret financial and operational data and communicate findings clearly.
• Comfortable working in a hands-on environment and taking ownership of processes.
• Strong attention to detail and problem-solving capabilities.
• Able to engage effectively with both technical and non-technical stakeholders.

APPLY BELOW!

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