**About the role** Partner with Product and Engineering to shape product decisions through measurement of user behaviour, funnel performance, feature impact, experimentation, and conversion. Turn product data into clear recommendations on what to build, improve, stop, or test next. **Performance objectives** *Objective 1 - Own product analytics and KPIs* Outcome: Clear, ongoing visibility into activation, engagement, conversion, retention, and feature adoption across the platform. Typical tasks: - Own analytics across onboarding, rankings, quizzes, comparisons, firm pages, and checkout flows. - Define and monitor product KPIs. - Maintain product dashboards used by Product, Engineering, and Leadership. - Investigate anomalies and surface trends weekly. *Objective 2 - Build and maintain product funnels* Outcome: Drop-off points are identified faster; the biggest conversion opportunities are surfaced and prioritised. Typical tasks: - Build product funnels end-to-end across the platform. - Identify friction points and quantify their impact. - Turn findings into prioritised recommendations for Product and Engineering. - Validate funnel improvements pre/post change. *Objective 3 - Lead experimentation* Outcome: Stronger experimentation culture; product decisions are validated rather than debated. Typical tasks: - Design, analyse, and document A/B tests. - Help build PFM's experimentation framework. - Quantify feature impact pre- and post-launch. - Train product and engineering teams on test design. *Objective 4 - Communicate insights to drive decisions* Outcome: Product, Engineering, and Leadership are aligned on shared evidence; high product-team satisfaction with insight quality. Typical tasks: - Produce product performance updates with strong visual storytelling. - Partner on roadmap prioritisation and launch measurement. - Define tracking requirements before features ship. - Present findings in product reviews and leadership forums. **Reporting cadence** - Reports to: Konstantinos Kattidis, Head of Data & Analytics. - Direct reports: None. - Key cross-functional partners: Product, Engineering, Leadership, Marketing. - Upward reporting cadence: Weekly 1:1 with Head of D&A; sprint-level product reviews; quarterly OKR review.

Role Description Partner with Product and Engineering to shape product decisions through measurement of user behaviour, funnel performance, feature impact, experimentation, and conversion. Turn product data into clear recommendations on what to build, improve, stop, or test next. Performance Objectives - Objective 1 - Own product analytics and KPIs - Clear, ongoing visibility into activation, engagement, conversion, retention, and feature adoption across the platform. - Own analytics across onboarding, rankings, quizzes, comparisons, firm pages, and checkout flows. - Define and monitor product KPIs. - Maintain product dashboards used by Product, Engineering, and Leadership. - Investigate anomalies and surface trends weekly. - Objective 2 - Build and maintain product funnels - Drop-off points are identified faster; the biggest conversion opportunities are surfaced and prioritised. - Build product funnels end-to-end across the platform. - Identify friction points and quantify their impact. - Turn findings into prioritised recommendations for Product and Engineering. - Validate funnel improvements pre/post change. - Objective 3 - Lead experimentation - Stronger experimentation culture; product decisions are validated rather than debated. - Design, analyse, and document A/B tests. - Help build PFM's experimentation framework. - Quantify feature impact pre- and post-launch. - Train product and engineering teams on test design. - Objective 4 - Communicate insights to drive decisions - Product, Engineering, and Leadership are aligned on shared evidence; high product-team satisfaction with insight quality. - Produce product performance updates with strong visual storytelling. - Partner on roadmap prioritisation and launch measurement. - Define tracking requirements before features ship. - Present findings in product reviews and leadership forums. Reporting Cadence - Reports to: Konstantinos Kattidis, Head of Data & Analytics. - Direct reports: None. - Key cross-functional partners: Product, Engineering, Leadership, Marketing. - Upward reporting cadence: Weekly 1:1 with Head of D&A sprint-level product reviews; quarterly OKR review. Compensation - $2,500–$4,500 / month gross Location & Work Setup - Remote, with strong overlap with CET hours (4+ hours of overlap). - Working hours: roughly 9 AM – 6 PM CET, with reasonable flexibility. - Employment type: Full-time. Qualifications - Must have 2+ years of experience as a Product Analyst or Data Analyst on a product team. - Strong SQL and product analytics tooling (PostHog, Amplitude, Mixpanel, or similar). - Experimentation design and A/B testing experience. - Statistical thinking - comfortable with significance, power, segmentation. - Visual storytelling skills - can turn data into a clear narrative. - Excellent async written communication - we are remote-first. Nice to Have - Prior experience in fintech, prop trading, or B2C SaaS. - Familiarity with attribution and funnel analytics at scale. - Experience defining and validating product hypotheses end-to-end. - Commercial mindset focused on outcomes, not just metrics. Hiring Stages - 1. Application screening: We carefully review all applications to identify candidates whose background aligns with the role’s requirements. You’ll receive a timely and transparent update on your application status. - 2. Video intro + role fit questionnaire: A short async step - no scheduling required. You'll record a brief video introduction and complete a written questionnaire. This helps us understand who you are, your relevant background, and how your experience aligns with the role without either side committing to a live call upfront. - 3. Discovery HR Interview: A conversation with our HR team focused on company and culture match. We'll walk you through how PFM works, what remote ownership looks like in practice, and what success in this role looks like. You'll have plenty of space to ask questions and share your goals. - 4. Real-world task: A scoped exercise using real PFM product data. Expect to work with user behavior, funnel metrics, or feature performance - the kind of challenges you'd actually encounter in this role. - 5. A deep-dive Professional interview: You will meet the Head of Data & Analytics at PFM to focus on your product analytics expertise - how you define and track metrics, interpret user data, and translate findings into decisions that shape the product roadmap. - 6. Functional Interview: A broader professional conversation exploring how you collaborate with product managers and designers, communicate insights to non-technical stakeholders, and approach ambiguous product questions with limited data. - 7. Peer & values conversation: A cross-team interview evaluated against PFM's structured values scorecard. You'll meet a peer and a bar raiser from outside the immediate team. Before Applying - If you don’t meet every single qualification but believe you can excel in the role based on what it requires - we encourage you to apply. - We are an equal opportunity employer and welcome applicants from all backgrounds, experiences, and perspectives. - Even if it’s not listed as a formal requirement, we truly value candidates who have clear familiarity with the prop trading industry and us, our mission and what we do. Not the Right Fit for This Role? If this role isn’t the right match but you have experience in trading operations, customer success, compliance, support, partnerships, or a related area - we still want to hear from you. Join our Talent Pool and we’ll reach out when a relevant role opens. Every submission is reviewed, and the pool is always the first place we look before opening a new search.

Role Description We are looking for thought leaders in Agile, Product Management, and Business Analysis to join our team who are passionate about delivering innovations that meet real business needs. Our Product / Agile Analysts thrive in collaborative, cross-functional teams—working closely with UX designers, developers, data specialists, and business stakeholders to shape and deliver features that align with the overall product strategy. We combine Agile methodologies with modern analysis techniques to define success, drive the product vision and strategy, and lead the creation and prioritization of feature roadmaps based on business value and user impact. - Define and drive product vision and strategy grounded in user research, data, and business goals; maintain a long-term roadmap while executing near-term priorities. - Partner with executive stakeholders across business, engineering, design, and operations to align product initiatives with broader organizational strategy. - Lead the end-to-end product lifecycle, from discovery and validation to delivery, adoption, and performance optimization. - Drive cross-functional collaboration with UX designers, data specialists, developers, and SMEs to translate user needs into scalable solutions. - Apply change management principles to guide adoption, readiness, and training for new product features and enterprise rollouts. - Lead stakeholder management at all levels of the organization, facilitating alignment, gathering feedback, and influencing through storytelling and data. - Oversee technical and functional requirements development, ensuring clarity, feasibility, and value alignment throughout the product lifecycle. - Facilitate Agile events and scale Agile practices across teams, helping to evolve team maturity. - Establish and track success metrics, customer satisfaction, and product health while recommending course corrections when needed. - Support strategic decision-making with data-driven insights. - Mentor and coach team members, helping develop a high-performing product culture and elevating analysis and delivery capabilities across the team or community of practice. Qualifications - 7+ years of experience in Product Management, Agile Business Analysis, or related roles within software or data product development. - Proven ability to lead enterprise-level product initiatives, including setting vision, defining roadmaps, and driving execution across multiple teams or products. - Demonstrated strength in stakeholder management, including executive communication, expectation alignment, and risk mitigation. - Deep understanding of Agile frameworks and delivery practices, including experience coaching teams and adapting Agile at scale. - Strong technical fluency with the ability to collaborate with engineering teams, understand data platforms, APIs, and software architecture at a conceptual level. - Experience applying change management principles (e.g., Prosci, ADKAR, Kotter) to support successful adoption and transformation. - Skilled in facilitation and workshop leadership, especially in requirements development, prioritization, customer journey mapping, and vision definition. - Comfortable with data analysis and data visualization tools to inform product decisions and monitor ongoing performance (e.g., SQL, Power BI, or similar). - Excellent communication, storytelling, and executive presence — able to translate complex ideas into compelling narratives for varied audiences. - Passionate about developing others — experience in mentoring, coaching, and shaping product management best practices. - Nice to have: Agile and business analysis certifications. Requirements - This range represents the minimum and maximum base salary that Excella reasonably and in good faith expects to pay for this role. Actual compensation within the range will depend on factors such as skills, experience, training, certifications, and organizational needs. - Your pay also includes the opportunity for an annual bonus in addition to the base salary. This variable pay opportunity is dependent upon the attainment of shared firmwide goals and objectives as determined by Excella’s Executive Team. - Should your experience and knowledge qualify you for a different position or title within Excella, we may consider you for positions that better align with your qualifications. Benefits - Top of industry medical, dental, and vision benefits with multiple options. - 8 weeks of Parental Leave. - Discounted pet insurance. - Care.com membership with 3 back-up emergency child or elder care days annually. - 15 days of paid vacation, 6 federal holidays, and 4 floating holidays starting day one. - TechEleX program providing multiple options for technology needs. - Annual Internet Reimbursement benefit of $25 per month. - 3 days of paid professional development every year. - Employee wellness events, HeadSpace membership, and access to TalkSpace and mental health coverage. Company Description Excella is a transformative technology firm that helps organizations unlock new possibilities. We believe the key to helping clients challenge the status quo and reach new heights lies in our talented people. That’s why we’re committed to developing talent and providing opportunities for career growth at every stage. Join our collaborative team dedicated to solving complex problems with sustainable solutions while building your future as a leader. At Excella, you’re empowered to make lasting impact, turning today’s challenges into tomorrow’s mission successes. Workplace locations look different for everyone. Excellians are a distributed workforce and whether you're working from your home office or a client site, we support a flexible work/life integration regardless of your location.

• Own the development, operationalization and reporting. • Use of metrics to measure Usability, Workflow Orchestration efficiency, Software Reusability, Platform Adoption (Time to Value and Satisfaction), Integration and Platform Capabilities, Data Quality and Operability. • Assess data availability and quality, and work with data engineers to ensure required data sets are extracted and transformed, if needed, for analysis. • Analyze and visualize data to generate actionable insights for business partners. • Present your findings and recommendations to your business partners. • Enable self-service monitoring of key metrics through good dashboard experience, documentation and business partner training.