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Jobber · 1 month ago

Senior Manager, Risk Analytics

United States

Full-time

Remote

Senior Level

$181K/yr - $245K/yr

Jobber is a company dedicated to helping small home service businesses succeed through technology. The Senior Manager, Risk Analytics will lead a team of analysts to drive insights and inform strategy, focusing on risk management and decision-making to ensure responsible growth.

MobileSaaSSmall and Medium BusinessesTask Management

Culture & Values

Responsibilities

Help form and manage the greater vision of the Risk Organization, including how various priorities and pieces of work intersect

Help form and manage the Risk Analytics roadmap end-to-end

Play a key role in defining company-level metrics, risk appetite, and cross-functional prioritization

Guide analytical initiatives that improve understanding of user behaviour and engagement across product lines

Lead projects focused on detecting, quantifying, and mitigating transaction/merchant fraud or counterparty credit risk

Deliver insights to improve loss prevention, payment integrity, and overall risk strategy

Support the workflows and processes that enable our customer-facing risk operations teams, including the metric and reporting frameworks that will drive real-time decision-making

Make recommendations on risk tooling and third-party data

Act as Subject Matter Expert, in partnership with the leader of the Risk function

Advocate on behalf of your ICs and general Risk Analytics best practices, both at the domain level and at the leadership level

Organize, mentor, empower, and scale a team of analysts who deliver regular reporting and analyses

Prioritize, scope, and allocate analytics work based on business impact and stakeholder needs, ensuring alignment with company priorities

Identify gaps, trade-offs, opportunities, challenges, and improvements that can be made on both the work asked of us and the work that needs to be done

Create a collaborative and high-accountability environment that values curiosity, excellence, and continuous improvement

Develop talent through mentorship and feedback, fostering both technical depth and business acumen

Model analytical leadership by helping the team translate data into clear actions that shape Jobber’s customer experience and growth trajectory

Act as a strategic thought partner and internal consultant to the Risk Org and its leaders

Provide analytical perspectives that inform business strategy, operational priorities, and investment decisions

Anticipate business needs and proactively identify analytical opportunities that unlock growth, efficiency, or improved customer experiences

Frame complex business challenges into structured analytical approaches, leading problem-solving and delivering clear, data-backed recommendations

Leverage advanced analytics to elevate Jobber’s analytical capabilities, from robust data models and dashboards to predictive modelling and experimentation

Collaborate with BI and Data Science on initiatives such as automated testing, ML/AI product features, and advanced behavioural analytics

Champion analytical best practices, including scenario modelling, impact evaluation, and forecasting, as core elements of how Jobber makes decisions

Manage large-scale analytics pipelines leveraging high-volume transactional and behavioural data to identify emerging trends and measure initiative effectiveness

Promote strong analytical foundations through consistent metric design, data quality standards, and unified measurement frameworks

Build compelling, executive-ready narratives that connect insight to action and drive alignment around key opportunities

Enable scalable self-serve analytics that empower teams to make confident, data-informed decisions

Encourage curiosity and innovation by exploring new data sources, analytical techniques, and storytelling approaches that elevate business understanding

Qualification

Risk analyticsSQLData modelingPythonBI toolsData visualizationPredictive analyticsStakeholder managementAnalytical thinkingLeadershipCommunicationProblem-solving

Required

Demonstrable experience as a people leader in analytics, with a strong track record of building and scaling high-performing teams at a company with growing products and services

Deep expertise in the Risk domain and Risk analytics, with the ability to translate complex insights into business strategy

Executive presence and a business mindset

Expert-level SQL skills, with the ability to work efficiently across complex relational data structures; experience with Python and data modelling are strong assets

Familiarity with BI and data visualization tools such as Tableau, with a focus on creating clear, compelling, and actionable visual narratives

Demonstrated expertise in foundational and advanced analytics techniques, including performance measurement, exploratory analysis, scenario analysis, impact evaluation, simulation modelling, and predictive analytics, with the ability to apply these methods to solve complex business problems, assess strategic opportunities, and inform high-impact decisions

Strong business acumen and a strategic mindset, with the ability to shape initiatives and develop high-impact analytical proposals that influence priorities and key business decisions

A passion for storytelling through data, with exceptional communication and stakeholder management skills that enable you to distill complex analyses into clear, influential insights that drive decisions at all levels of the organization

A proactive and forward-looking mindset, contributing thought leadership that elevates strategic thinking and fosters a data-driven culture across the company

Intellectual curiosity, creativity, and adaptability in solving open-ended business problems in a dynamic environment

Proven ability to thrive under pressure, maintaining focus and delivering clarity amid ambiguity; highly autonomous and accountable in defining priorities and driving action

A solid understanding of SaaS business models, customer health metrics, and operational levers that drive product and customer performance