Paid Search & Analytics Manager: Roi-Driven Growth
Lion Digital
Get a reply from this employer
Your resume and cover letter, tailored to exactly what they’re hiring for.
Benefits offered by this job
Job summary
Karbon is hiring an Analytics Manager to lead pricing analytics, data flow automation, and model governance. You will build Python-based pricing tools and AI/ML solutions, craft user-friendly interfaces and BI dashboards, and partner with Sales, Finance, Risk and Tech.
You will ensure outputs feed FP&A processes and performance reporting. You will guide a team to deliver scalable pricing analytics, develop data-driven strategies and maintain governance for pricing models in a fast-paced,
Qualifications
- Advanced Excel capability with complex models/reports.
- Strong Python skills for automation and scalable reporting.
- Experience with PyQt, xlwings, Streamlit or Dash for UI and tooling.
- Experience building BI dashboards (Power BI).
- Financial modelling to support commercial decision making.
- Solid foundation in financial mathematics and pricing analytics.
- Experience applying data science techniques to business insights.
- Hands-on AI/ML development and deployment experience.
Responsibilities
- Maintain, enhance and govern pricing models and analytics.
- Automate data flows between data warehouses and pricing tools.
- Develop Python-based pricing models and AI/ML solutions.
- Build pricing interfaces, dashboards and BI reporting.
- Collaborate with Sales, Finance, Risk, and Tech and external vendors.
- Translate analytics outputs into FP&A forecasting and budgeting.
Skills
Education
Tools
Job description
2113 North Ryde Allied Credit Group
The Analytics Manager is responsible for maintaining, enhancing and governing Allied Credit’s pricing model and related analytical tools. The role supports robust commercial decision-making by curating and refining pricing data, automating data flows between enterprise data warehouses and pricing tools, and developing scalable Python-based models, applications, artificial intelligence and machine learning solutions, and business intelligence reporting using Power BI. The role will also be central to the design, evaluation, testing and implementation of a pricing application or pricing engine, whether purchased from a vendor or built internally, ensuring business requirements, pricing logic, model governance and user experience are appropriately translated into the final solution. Working closely with Sales, Finance, Risk, Technology and external vendors, the Analytics Manager will build and support user-friendly pricing interfaces, dashboards and reporting outputs, support sales interaction with pricing outcomes, and enable integration of pricing model outputs into FP&A processes including forecasting, budgeting, profitability analysis and management reporting.
- Maintain, enhance and govern the pricing model to ensure it remains accurate, fit-for-purpose and aligned to business, finance and risk requirements.
- Curate, collect and refine data inputs required to support pricing analytics, model calibration, scenario analysis and ongoing performance monitoring.
- Automate data flows between enterprise data warehouses and pricing tools to improve efficiency, control, repeatability and scalability of pricing processes.
- Support the assessment, design, testing and implementation of a pricing application or pricing engine, including requirements definition, vendor evaluation, business rules validation, user acceptance testing and transition into business-as-usual processes.
- Design, build and maintain Python-based pricing models that support robust product pricing, profitability analysis and commercial decision-making.
- Develop related analytical tools, calculators, Power BI dashboards and reporting outputs to support pricing strategy, portfolio analysis and business performance management.
- Identify, design and implement practical AI and machine learning use cases to improve pricing analytics, forecasting accuracy, automation, decision support and operational efficiency.
- Build user-friendly interfaces that enable Sales teams to interact with pricing tools, assess pricing outcomes and support customer and introducer conversations.
- Partner with the Finance team to integrate pricing model outputs into FP&A processes, including forecasting, budgeting, profitability analysis and management reporting.
- Advanced Excel capability, including the ability to develop, maintain and interrogate complex models, reports and analytical tools.
- Strong Python skills, with experience applying programming techniques to automate processes, analyse data and support scalable reporting solutions.
- Experience with relevant Python libraries and frameworks, including PyQt, xlwings, Streamlit and Dash, to support model development, automation, user interfaces and analytical tools.
- Experience developing and maintaining business intelligence dashboards and self-service reporting solutions using Power BI.
- Demonstrated financial modelling experience, including the ability to structure, validate and interpret models that support commercial decision-making.
- Sound understanding of financial mathematics, including the ability to apply quantitative techniques to pricing, profitability and portfolio analysis.
- Experience using data science concepts and analytical techniques to identify trends, generate insights and improve business outcomes.
- Hands-on experience implementing AI and machine learning solutions, including model development, deployment considerations, performance monitoring and translation of outputs into business decision-making.
- Practical experience in product pricing, preferably within a financial services, lending or asset finance environment.
- Tertiary qualification in a STEM-based discipline, Economics, Actuarial studies, Engineering, Mathematics or a related field.
- Consulting and/or financial services background, with the ability to translate complex analysis into clear commercial recommendations.
Karbon is the global leader in AI-powered practice management software for accounting firms. We provide an award-winning cloud platform that helps tens of thousands of accounting professionals work more efficiently and collaboratively every day. With customers in 40 countries, we have grown into a globally distributed team across the US, Australia, New Zealand, Canada, the United Kingdom, and the Philippines. We are well-funded, ranked #1 on G2, growing rapidly, and have a people-first culture that is recognized with Great Place To Work® certification and on Fortune magazine's Best Small Workplaces™ List.
We’re hiring a Data & Analytics Manager who grows high-impact teams that balance efficiency with excellence, value autonomy and creativity, and thrive in a collaborative, inclusive environment.
Team vision: “Enable rapid innovation through a unified data platform”.
- Coach and grow engineers through clear expectations, regular feedback, and thoughtful development plans.
- Create an environment where engineers can do focused work, collaborate effectively, and keep improving—without heroics or burnout.
- Help build a strong team culture that values autonomy, accountability, and craftsmanship.
- Help the team thoughtfully adopt AI-assisted tooling across the software delivery lifecycle to improve developer productivity and code quality.
- Lead by example in using AI tools where they add real leverage, and help engineers understand when AI accelerates work—and when human judgment matters most.
- Partner with Product and Design to translate goals into a clear plan, then guide the team through execution in a Scrum cadence (planning, delivery, review, retro).
- Manage a multi-million dollar product, growing our top and bottom line while improving platform stability
- Balance new work, enhancements, bugs, maintenance, and technical debt with sound judgment and transparent trade-offs.
- Improve delivery quality and speed over time by reducing friction, improving clarity, and continuously strengthening engineering practices.
- Champion strong development practices : code reviews that teach, testing discipline, pragmatic documentation, and maintainable implementations.
- Encourage “analytical” thinking – creatively solving data problems for our customers is at the heart of this role.
- Champion “you build it, you own it” – Deliver product while balancing technical health
- Help the team build healthy on-call and operational practices, including ownership, runbooks, sensible alerting, and effective incident follow-up.
- Lead blameless incident reviews focused on learning and systemic improvements.
- Improve observability and system health so the team can confidently ship and support the Core product over time. (This role may include on-call participation in the future.)
- Collaborate effectively across Engineering, Product, Design, and Support.
- Communicate clearly across time zones and contexts—making decisions understandable and durable.
In this role, success typically means:
- Your engineers are growing in skill, confidence, and ownership—and they want to stay on your team.
- The team ships consistently with high quality, and reliability improves quarter over quarter.
- Technical decisions make the analytics product easier to evolve (not harder).
- Cross-functional partners trust your team because expectations, trade-offs, and delivery are clear.
- Data Warehousing: Databricks and Snowflake.
- ELT : Fivetran, DLT, DBT
- Visualisation : PowerBI Embed
- Backend : C# (.NET)
- Previously a Senior+ IC before moving into management (preferably as a data engineer or analytics engineer) .
- 2+ years experience in Engineering Management.
- Proven record leading teams to improve quality and speed through technical + process change.
- Depth in distributed systems and data integrity at scale.
- Skill planning and delivering sprints with Product and Tech Leads, balancing new work, enhancements, bugs, and maintenance.
- Excellent communication across locations/time zones.
- Experience in large scale, multi-cloud data warehousing migrations.
- Degree in CS or equivalent experience.
- Plus if you have accounting domain experience.
- Gain global experience across the USA, Australia, New Zealand, UK, Canada and the Philippines
- 4 weeks annual leave plus 5 extra "Karbon Days" off a year
- Flexible working environment
- Work with (and learn from) an experienced, high-performing team
- Be part of a fast-growing company that firmly believes in promoting high performers from within
- A collaborative, team-oriented culture that embraces diversity, invests in development, and provides consistent feedback
- Generous parental leave
Balance Speed and Quality
Engineers are expected to balance delivery speed with a strong commitment to quality, meeting agreed timelines while producing reliable, maintainable, and well-tested solutions. Sound judgment in making trade-offs between velocity and long-term sustainability is essential.
Collaborate Effectively
Engineering is collaborative by default. Team members are expected to contribute constructively in design discussions, reviews, and planning, communicate clearly about progress and risks, and support shared team outcomes in both hybrid and distributed environments.
Build and Maintain Systems
Engineers are responsible for building new capabilities while maintaining and improving existing systems. This includes designing scalable solutions, reducing technical debt, supporting operational stability, and contributing to continuous improvement.
Operate with Autonomy
A high degree of autonomy is expected. Given clear objectives, engineers should independently translate problems into actionable technical approaches, proactively identify improvements, and continuously expand relevant technical expertise.
Ownership and Accountability
Ownership is fundamental. Engineers are accountable for the quality, performance, and customer impact of their work from design through post-release support, and are expected to follow through on commitments.
AI-Enabled Engineering
AI is reshaping how software is built, and we are committed to leveraging it as a force multiplier for creativity, impact, and capability. Engineers are expected to confidently apply strong technical fundamentals while embracing AI tools and approaches to enhance productivity, problem-solving, and innovation. Curiosity, adaptability, and enthusiasm for integrating AI into meaningful product development are essential.
Contribute to Team Culture
Engineers contribute positively to a culture of professionalism, transparency, low bureaucracy, and mutual respect, strengthening team performance through authenticity, curiosity, and collaboration.
Please be aware that Karbon will only contact you via email from our domain, karbonhq.com. If you receive an email from any
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
