Ashling Partners is leading the charge in the intelligent automation and agentic AI revolution! We empower clients to enhance productivity and employee engagement by harnessing the power of intelligent process automation, RPA, Process Intelligence, data capture/OCR, and Machine Learning technologies. Our team utilises lean agile principles to ensure automation gains are sustainable and serve as a catalyst for digital innovation.

Founded by veterans in business process improvement and technology, Ashling Partners is committed to providing meaningful work for our employees while delivering tangible value to our clients in a sustainable, continuous manner. We prioritise progress over perfection and are dedicated to fostering a positive, appreciative, and fun culture. Proudly listed on the INC Best Workplace list for 2021, we continue to strive for excellence.

Our rapidly expanding organisation is making waves globally, establishing ourselves as the premier boutique in intelligent automation. We are seeking lifelong learners and servant leaders who are passionate about innovation and the future of work. If this sounds like the perfect place for you, we would love to meet you!

What You Will Do:

Participate in client discovery and advisory workshops to provide guidance on data architecture, business processes, ETL/ELT pipelines, and overall analytics and process intelligence solution design
Apply strong business curiosity to understand client processes, business models, KPIs, and decision-making workflows before designing solutions
Design, build, and maintain analytical data models to support BI, analytics, process mining, and AI use cases
Support the build and evolution of data environments and analytics platforms (Microsoft Fabric, Power BI, and related technologies)
Develop Power BI datasets, reports, and dashboards aligned to business, operational, and process performance requirements
Write and maintain advanced SQL transformations to extract, transform, and prepare data for analytics, reporting, and process mining
Ingest, transform, and model data from multiple source systems into analytics-ready and process-mining-ready structures
Define and implement KPIs, metrics, and analytical frameworks based on business and operational requirements
Document data models, transformations, and analytics logic for client handoff, maintainability, and enablement
Support successful deployment of analytics and process intelligence solutions through development, testing, validation, and post-deployment support
Continuously engage clients in an advisory capacity to refine requirements, challenge assumptions, and evolve analytical and process insights beyond initial delivery
Assist in establishing analytics engineering, BI, and process analytics standards and best practices
Support advanced analytics, process mining, and AI-ready datasets, including feature engineering for ML and predictive use cases when applicable
Help clients drive measurable business outcomes and ROI by translating analytical and process insights into actionable recommendations
Plan, coordinate, and execute analytics and process intelligence workstreams to ensure on-time delivery, high quality, and strong client satisfaction

What You Will Bring:

Expert-level SQL

Advanced and complex SQL (CTEs, window functions, performance tuning, multi-join transformations)
Ability to design and optimise large analytical transformations

Strong Data Modelling

Dimensional modelling, star schema, fact/dimension tables
Analytical and semantic data modelling for BI and analytics

Data Engineering Foundations

Building analytical data pipelines, transformation layers, curated datasets
Experience working with data warehouses / lakehouses

Power BI

Data modelling, DAX, semantic models, performance optimisation, dashboard design

Microsoft Fabric

Lakehouse, Warehouse, Dataflows, Pipelines, Semantic Models

Strong Analytical & Problem-Solving Skills

Ability to translate business problems into data and analytical solutions

Relational Databases & Analytics Platforms

Deep understanding of how analytical data platforms work

KPI & Metrics Design

Ability to define, design, and implement business and operational KPIs

Strong business curiosity and critical thinking

Proactively asks questions to deeply understand business concepts, processes, and true requirements before building solutions
Ability to translate ambiguous business problems into clear analytical requirements by engaging stakeholders, challenging assumptions, and clarifying goals before execution

Nice to Have

dbt / Analytics Engineering Frameworks
Python
Machine Learning / AI use cases
Process Mining (Celonis, UiPath, Signavio, etc.)
Snowflake, BigQuery, Databricks, or similar platforms
Advanced forecasting or statistical modelling
Experience with operational analytics or process analytics
Consulting or client-facing experience (working with stakeholders, gathering requirements, presenting insights, and delivering solutions in a project-based environment)

Why Ashling Partners:

At Ashling Partners, we strive to provide meaningful work in a positive, appreciative, and fun culture for our team. All firm members are referred to as “Ohana,” the Hawaiian word for family, referring to extended family beyond relatives. The concept emphasises that extended families are bound together by a common belief, attitude, or purpose, and members must cooperate and remember one another.
Lifelong Learning – In the intelligent automation space, change happens fast. To support that change, Ashling has developed a culture that enables lifelong learners to continuously develop their skill sets
Diversity of Thought, Culture, Background & Identity – We build diversity, equity, and inclusion capabilities into all facets of our business to support innovation, creativity, and our global growth objectives
Consistently Innovate with Cutting-Edge Technology – We offer a continuous model for performance improvement and the opportunity to work with best-of-breed automation technology stacks
Provide Servant-Based Leadership – We believe the leader’s role is to serve the organisation, not the other way around
Practise Stewardship – We work together as peers, regardless of a person’s formal role or authority in the organisation
Be Entrepreneurial in Management – We empower people to bring ideas and challenge them with the responsibility to make them successful
Provide the Best Service – We may not be the cheapest, but we will deliver the best value to our clients
Make Data-Driven Decisions – We are a data-driven organisation internally and externally
Be a fun place to work – We provide a positive, appreciative, and fun culture

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