• Identify and suggest product solutions and enhancements that respond to emerging issues in the property lines to Management • Serve as a strategic leader by analyzing coverage, market, legal, and regulatory trends to inform product decisions and improvements. • Lead the technical and conceptual development of ISO policy forms and endorsements. This will include drafting policy wording. • Partner with Law, Actuarial, and Coverage teams on product development. • Coordinate with ISO marketing to promote product changes. • Research and present ISO panel items. • Communicate ISO activities to customers and industry stakeholders.

Overview: SOFTSWISS is growing, and we are seeking a skilled Product Analyst to join our team. If you are driven by excellence and share our values, we would love to hear from you. About Product: SOFTSWISS Jackpot Aggregator Multi-purpose iGaming solution that introduces the Jackpot-as-a-service business tool and integrates with any gaming project Learn More Purpose of the role: As part of the Jackpot Aggregator team, you will analyze the performance of jackpot campaigns and partner companies, helping the team understand what drives product growth and effectiveness. You will work with large datasets, build dashboards in Tableau, and support decision-making through clear and structured data insights. Key responsibilities: - Analyze the performance of jackpot campaigns across clients, platforms, and regions - Evaluate the effectiveness of launched companies based on volume, activity, and outcome metrics (bets, hits, prizes, engagement) - Build and maintain dashboards in Tableau - Monitor core product KPIs and track their changes over time - Support analysis of user behavior around jackpot events (before/after activity, retention trends) - Identify trends, anomalies, and growth opportunities across campaigns and partners - Prepare regular reports and present insights to stakeholders - Work with large datasets, ensuring data accuracy and consistency - Collaborate with data engineers and product teams to define data requirements and improve data quality - Help structure and improve reporting and analytical approaches Required Experience: - 1+ year of experience as a data/product analyst - Experience working with data and basic understanding of data structures - Hands-on experience with Tableau (or similar BI tools) - dashboard building, data visualization, KPI structuring - Basic to intermediate SQL skills - Strong analytical thinking and ability to translate data into business insights - Experience in product performance analysis (KPIs, funnels, cohort/behavioral analysis) - Upper-intermediate or higher level of business English (B2+) - Ability to work independently and structure ambiguous problems - Willingness to learn and grow in product analytics Nice to have: - Experience in iGaming, Gambling, or Gaming industry - Understanding of jackpot mechanics or similar gamification systems - Experience analyzing campaign performance or partner/client performance - Familiarity with event-based data models - Basic understanding of retention or behavioral analysis - Basic understanding of data modeling principles Our Benefits: - Full-time remote work opportunities and flexible working hours - Private insurance - Additional 1 Day Off per calendar year - Sports program compensation - Comprehensive Mental Health Programme - Free online English lessons with a native speaker - Generous referral program - Training, internal workshops, and participation in international professional conferences and corporate events.

Responsibilities - Support SKU analysis by sourcing base data from multiple systems and dashboards, including RCR and self-reporting tools. - Clean and standardize SKU base data for critical specifications such as family name, memory, storage, screen size, and processor details, including identifying and filling in missing information based on product descriptions. - Develop comprehensive SKU lists and map silicon family and generation data using web sources and processor details. - Manually scrape and validate MSRP data from web sources and internal tools for top SKUs by volume. - Manually map masked Circana data in RCR to Open Brand and ensure accurate linkage across datasets. - Collaborate with cross-functional teams (including FD&E) to identify HERO SKUs, silicon family and generation, and MSRP mapping in RCR. - Review data quality and identify inconsistencies in Circana and related datasets, working with partners to clean, align, and standardize data. - Drive overall database cleanup efforts with relevant teams to enable SKU report automation through RCR. - Design and build Power BI dashboards and reports for SKU and financial analysis in partnership with cross-functional stakeholders. - Use data visualization best practices to present complex financial and SKU insights in a clear, concise, and actionable format. - Manage time and priorities effectively to deliver high-quality analysis and reports within agreed timelines. - Communicate findings, trends, and recommendations clearly to both technical and non-technical stakeholders, supporting decision-making across the business. Essential Skills - 2–4 years of product analysis experience. - Bachelor's degree. - Proficiency in Microsoft Excel, including working with large datasets and complex data structures. - Hands-on experience building dashboards, with strong preference for Power BI. - Experience with data visualization and creating dashboards for business stakeholders. - Experience working with large data sets and database structures. - Financial and data analytics experience, operating at the intersection of finance and data. - Strong verbal and written communication skills. - High attention to detail and strong critical thinking skills. - Ability to work independently and manage time effectively. - Ability to analyze business trends and project future revenues and expenses. - Knowledge of economic and accounting principles, financial markets, and financial data reporting. - Knowledge of relevant policies, procedures, and regulations as they relate to accounting. - Experience with Microsoft Word, Excel, PowerPoint, and related financial software. - Proficiency with Power BI, dashboards, data visualization, and working with large datasets (required; candidates lacking these skills will not be eligible). Additional Skills & Qualifications - Experience with SKU-level analysis and SKU reporting. - Experience sourcing and cleaning data from multiple systems and dashboards. - Familiarity with mapping product attributes such as family, memory, storage, screen size, and processor details. - Experience scraping and validating pricing or MSRP data from web sources. - Experience collaborating with cross-functional teams to define key metrics, such as HERO SKUs and product hierarchies. - Strong teamwork skills and ability to partner effectively with technical and business stakeholders. - Experience building automated reports and supporting data quality initiatives. - Interest in influencing competitive strategy within a consumer-focused business environment. Work Environment This is a fully remote role with a standard Monday–Friday schedule, approximately 40 hours per week. The position is open to candidates across U.S. time zones, with a preference for those able to align with Pacific Time working hours. You will work extensively with digital tools and platforms, including Excel, Power BI, and other data and financial applications, in a collaborative virtual environment. The role offers the opportunity to contribute directly to the competitive strategy of a major consumer business and may be extended based on performance and business needs. Job Type & LocationThis is a Contract position based out of Redmond, WA. Pay and BenefitsThe pay range for this position is $40.00 - $40.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace TypeThis is a fully remote position. Application DeadlineThis position is anticipated to close on Apr 20, 2026. About Aston Carter: Aston Carter provides world-class corporate talent solutions to thousands of clients across the globe. Specialized in accounting, finance, human resources, talent acquisition, procurement, supply chain and select administrative professions, we extend the capabilities of industry-leading companies. We draw on our deep recruiting expertise and expansive network to meet the evolving needs of our clients and talent community with agility and excellence. With offices across the U.S., Canada, Asia Pacific and Europe, Aston Carter serves many of the Fortune 500. We are proud to be a ClearlyRated Best of Staffing® double diamond winner for both client and talent service. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email astoncarteraccommodation@astoncarter.com for other accommodation options.

We're hiring a Product Analyst (Growth & Opportunity)! Summary - Flexible Title: Can tailor to reflect your skills & experience. - Flexible Time: Can do full-time, part-time, side-gig (off-hours), or fractional (contract). - Flexible Commitment: Can do short-term, long-term, or intermittent. Why so flexible? We're a FUNDED startup racing to launch end of Q2 2026. That gives us just 3 months to stack features while raising additional working capital. Feel free to jump in, help us ship, then bounce >> or stick around. A successful launch translates into lots of permanent jobs for those that want them. We're also interested in long term "side gig" relationships, if that's what you're into - in our experience, a few expert hours often beat full-time learning-curve hours. About Us We're a credible, funded, remote-first startup led by a serial [technical] founder, and backed by a 20-person team. The product is live in private alpha. Learn more about our founder, team, and comp structures at list-lab.org. About The Role This is not a product manager role. We're not looking for someone to write PRDs, run standups, or babysit a backlog. We're looking for the person who figures out what we should build next — using real signals, not opinions. You run experiments, not meetings. You turn user behavior, market dynamics, and competitive landscape into product direction that the team can act on. You understand what motivates people — the incentives, psychology, and friction that drive real behavior — and you can apply that thinking across industries to anticipate how users will act before they do. You're closer to a quant or an operator than a traditional PM — someone who finds leverage, surfaces the opportunities that matter, and makes it obvious where to focus. You won't manage engineers. You'll influence what they build by giving them something most teams never have: a clear, evidence-based picture of what matters most right now and why. This role works closely with the founder and engineering leadership. You're the person who makes sure we're building the right thing — not just building things right. If your background is primarily writing feature specs and attending sprint ceremonies, this likely isn't a fit. If you've shaped product direction through research, data, and experimentation — and you've been right more often than not — keep reading. Compensation Up to $300,000 max total compensation in Tier 1 cities; cash and equity components to be negotiated (amount reflects combined cash and equity components). What Success Looks Like in 30 Days - You've identified at least one high-leverage opportunity the team wasn't seeing — backed by evidence, not intuition alone - You've established a lightweight system for continuously capturing and synthesizing signals from users, competitors, and the market - Engineering and product leadership are using your analysis to make real prioritization decisions - You can articulate our biggest product risks and opportunities clearly enough that the founder can act on them immediately - You're already using AI tooling to accelerate research, analysis, and synthesis — and it's visibly compressing your cycle time What You'll Do - Find the opportunities that matter — conduct market research, analyze user behavior, study competitors, and surface the insights that should change what we build next - Run experiments, not meetings — design and execute lightweight tests that validate or kill ideas before engineering invests heavily. You're hypothesis-driven and allergic to building on assumptions - Turn signals into direction — synthesize messy, incomplete information from multiple sources into clear recommendations the team can act on. You don't just report findings — you make the call on what they mean - Shape prioritization — work with the founder and engineering leadership to ensure the roadmap reflects the highest-leverage opportunities, not just the loudest requests - Understand the user deeply — talk to users, study their behavior, map their workflows. You build empathy through evidence, not personas - Think in incentives and motivation — understand why people do what they do — what drives adoption, what creates friction, what makes someone come back - Monitor the landscape — track competitive moves, market shifts, and adjacent opportunities so we're never surprised and always positioned to move first - Communicate with clarity — present findings and recommendations at an executive level. You write clearly, visualize data effectively, and make complex trade-offs easy to understand - Leverage AI as a research multiplier — use AI tooling to accelerate market research, competitive analysis, data synthesis, and hypothesis generation What We're Looking For - Signal finder, not spec writer — you've shaped product direction through research and analysis, not just documented requirements. You know how to find the insight in the noise - Experiment-driven — you default to testing, not debating. You've designed and run experiments that changed what a team built — whether A/B tests, user interviews, market analyses, or prototype validations - Quantitative and qualitative range — you're comfortable with data analysis and user research. You can pull insights from a spreadsheet and a conversation with equal confidence - Early and avid AI adopter — you're already using AI tooling to move faster — research, synthesis, analysis, writing. You see it as a natural extension of how you think, not a novelty - Product instincts grounded in behavioral thinking — you understand incentives, motivation, and friction well enough to predict how users will respond — across industries, not just one domain. You have a sense for what will work before the data confirms it - Clear communicator — you can explain a complex opportunity or risk to the founder in two minutes. You write well, you present well, and you don't hide behind jargon - Startup fluency — you've worked in environments where the data is messy, the user base is small, and you have to triangulate from imperfect sources. You find that energizing, not frustrating - Independent operator — you don't need a manager to tell you what to research next. You see gaps, form hypotheses, and go after answers Nice to Have - Experience in an analyst, product strategy, or growth role at an early-stage startup - Background in marketplace, network, or platform products where user dynamics were complex - Experience working directly with a founder or executive team to shape product direction - Comfort with SQL, analytics tools, or data platforms — enough to self-serve, not necessarily to build pipelines - Track record of killing bad ideas early — saving engineering time by disproving assumptions before they became features - Experience synthesizing competitive intelligence into actionable product strategy - Cross-industry experience — you've worked across multiple verticals or user types and can transfer behavioral insights between them