Senior UX Researcher (x,f,m)

DKB Code Factory
Full_timeβ€’Berlin, Germany

πŸ“ Job Overview

Job Title: Senior UX Researcher (x,f,m)
Company: DKB Code Factory
Location: Berlin, Germany
Job Type: Full-Time
Category: User Experience (UX) & Research Operations
Date Posted: January 20, 2026
Experience Level: 5-10 Years
Remote Status: On-site

πŸš€ Role Summary

  • This role is central to understanding and enhancing the customer experience (CX) for DKB's banking platform, leveraging a blend of quantitative and qualitative research methodologies to inform product strategy and development.
  • The Senior UX Researcher will be instrumental in establishing and evolving CX measurement frameworks, including key metrics like CSAT, NPS, and CES, to provide actionable insights.
  • A significant aspect of this role involves applying behavioral science principles to product development and experimental design, ensuring a user-centered approach that drives measurable impact.
  • This position requires strong collaboration with cross-functional teams, including product management, UX/UI design, marketing, and sales, to ensure holistic, user-centric solutions are developed and implemented.
  • The role also involves mentoring junior researchers and contributing to the overall methodological capability building within the research team.

πŸ“ Enhancement Note: While the original job description focuses on UX/CX Research, this enhanced version frames it within an "Operations" context by emphasizing the systematic approach to data collection, analysis, framework development, and cross-functional process integration, all critical for operationalizing research insights within a larger organization. The "x,f,m" in the title likely refers to gender diversity (weiblich, mΓ€nnlich, divers), indicating an inclusive hiring practice.

πŸ“ˆ Primary Responsibilities

  • Lead end-to-end customer experience (CX) research initiatives, employing a deliberate mix of quantitative methods (surveys, KPI systems, experiments) and qualitative methods (interviews).
  • Establish new CX measurement areas and quantitative research frameworks, building foundational capabilities within an evolving data environment to ensure robust data governance.
  • Design, implement, and maintain comprehensive CX measurement frameworks, including but not limited to Customer Satisfaction (CSAT), Net Promoter Score (NPS), Customer Effort Score (CES), and journey-level Key Performance Indicators (KPIs).
  • Develop high-quality survey instruments, define rigorous sampling strategies, and create detailed analysis plans to ensure research validity and reliability.
  • Conduct advanced quantitative analyses such as driver analysis, segmentation, trend analysis, and conjoint analysis to uncover deep customer insights and predict behavior.
  • Design, execute, and evaluate A/B experiments for products, customer journeys, and marketing campaigns to measure effectiveness and quantify behavioral impact.
  • Apply behavioral science principles, including choice architecture, ecological rationality, cognitive shortcuts, and mental models, to inform product development and optimize user interactions.
  • Ensure triangulation of findings across metrics, behavioral data, and qualitative evidence to build a holistic understanding of the user.
  • Integrate behavioral, attitudinal, and experiential data into coherent, actionable insights that clearly articulate user needs and pain points.
  • Translate research findings into clear, concise, and actionable recommendations for product teams, UX/UI designers, marketing, and business stakeholders, facilitating data-driven decision-making.
  • Mentor junior researchers, providing guidance on research methodologies, data analysis, and stakeholder communication to foster team growth and capability development.
  • Collaborate closely with product management, UX/UI design, marketing, and sales teams to ensure the development of holistic, user-centered solutions that align with business objectives.

πŸ“ Enhancement Note: The responsibilities have been expanded to include operational aspects like "data governance," "robust data collection," and "stakeholder management processes," which are crucial for a Senior Researcher role in a larger organization like DKB. The emphasis on "translating insights into actionable recommendations" and "measuring results" highlights the operational impact of the research.

πŸŽ“ Skills & Qualifications

Education:

  • A Bachelor's or Master's degree in Human-Computer Interaction (HCI), Psychology, Sociology, Statistics, Computer Science, or a related field is typically expected for a Senior UX Researcher role. Equivalent practical experience will also be considered.

Experience:

  • Extensive experience (5-10 years) in UX/CX Research, User Research, or Customer Insights, with a proven track record of managing full end-to-end research projects from initiation to completion and impact measurement.
  • Demonstrable experience in designing and implementing robust quantitative and qualitative research methodologies within a digital product development context.

Required Skills:

  • Comprehensive Research Methodologies: Expertise in a wide range of quantitative and qualitative research methods, including user interviews, surveys, usability testing, diary studies, card sorting, and more.
  • Quantitative Analysis & Experimentation: Strong proficiency in statistical analysis, survey design, experimentation, and A/B testing. Experience with driver analysis, segmentation, trend analysis, conjoint analysis, and Kano analysis is highly valued.
  • Behavioral Science Application: Deep understanding and practical application of behavioral science principles (e.g., choice architecture, ecological rationality, cognitive shortcuts, mental models) in product development and user experience design.
  • Data Analysis & Insight Generation: Skilled at combining and analyzing diverse data sources (metrics, behavioral, attitudinal, experiential) to identify patterns, derive actionable insights, and ensure methodological triangulation.
  • Stakeholder Communication & Influence: Excellent verbal and written communication skills, with a proven ability to present complex findings clearly, facilitate workshops, and effectively align diverse stakeholders (product, design, marketing, sales) in both German and English.
  • Product Lifecycle Understanding: Familiarity with the full product development lifecycle, from ideation and concept validation through to prototyping, iteration, and post-launch analysis.
  • Mentorship & Team Development: Experience mentoring junior researchers and contributing to the growth of methodological capabilities within a research team.

Preferred Skills:

  • Experience with specific CX measurement tools and platforms (e.g., Qualtrics, SurveyMonkey Enterprise, Medallia, Gainsight).
  • Proficiency in data visualization tools (e.g., Tableau, Power BI) for communicating research findings.
  • Experience working within an Agile/Scrum development environment.
  • Familiarity with banking or financial services industry dynamics and customer needs.

πŸ“ Enhancement Note: The qualifications emphasize "data governance," "methodological capability building," and "stakeholder alignment processes" to align with operations-centric expectations for a senior role. The inclusion of specific analytical techniques like "driver analysis" and "conjoint analysis" adds depth relevant to advanced operations roles.

πŸ“Š Process & Systems Portfolio Requirements

Portfolio Essentials:

  • End-to-End Research Case Studies: Showcase 2-3 comprehensive case studies detailing your involvement in full research projects, from defining research objectives and designing methodologies to executing research, analyzing data, and presenting actionable recommendations.
  • Methodological Diversity: Demonstrate proficiency across a range of quantitative and qualitative methods. Highlight instances where you effectively combined methods for richer insights.
  • Data Analysis & Insight Examples: Include examples of your quantitative analysis (e.g., segmentation, trend analysis, experimental results) and qualitative analysis (e.g., thematic analysis of interviews). Clearly articulate the insights derived.
  • Impact & Actionability: For each case study, clearly articulate the impact of your research on product decisions, user experience improvements, or business outcomes. Quantify results where possible.
  • Stakeholder Collaboration: Provide examples of how you communicated research findings and recommendations to diverse stakeholders, including product managers, designers, and business leaders, and how you facilitated their adoption.

Process Documentation:

  • Research Plan Development: Ability to create detailed research plans outlining objectives, target users, methodologies, timelines, and expected deliverables for complex research initiatives.
  • Measurement Framework Design: Experience in designing and documenting comprehensive CX measurement frameworks (e.g., NPS, CSAT, CES, journey KPIs), including defining metrics, data collection processes, and reporting cadences.
  • Experimental Design & Analysis: Documented experience in designing A/B experiments, defining hypotheses, setting up measurement plans, and analyzing results to drive product or campaign optimization.
  • Behavioral Science Application Documentation: Examples of how behavioral science principles were applied in research design or recommendations, with clear explanations of the underlying concepts and expected impact.

πŸ“ Enhancement Note: This section is crucial for operations roles. The emphasis on "process documentation," "measurement framework design," and "experimental design" highlights the need for systematic and repeatable research operations. The portfolio requirements are geared towards demonstrating not just research skills, but the ability to operationalize them for business impact.

πŸ’΅ Compensation & Benefits

Salary Range:

  • Based on industry benchmarks for a Senior UX Researcher with 5-10 years of experience in Berlin, Germany, the estimated annual salary range is €70,000 - €95,000. This range accounts for the role's seniority, the specialized skillset required (mixed-methods research, behavioral science, quantitative analysis), and the cost of living in Berlin.

Benefits:

  • Comprehensive Health & Wellness: Generous health insurance, potential for dental and vision coverage, and wellness programs.
  • Retirement Savings Plan: Company-sponsored pension or retirement savings scheme.
  • Professional Development: Budget for conferences, training, workshops, and certifications to support continuous learning and skill enhancement in UX research and related fields.
  • Work-Life Balance: Generous paid time off (vacation days, public holidays), potential for flexible working hours, and support for employee well-being.
  • Team & Community: Opportunities for team building events, after-work activities, and fostering a strong sense of community and collaboration.
  • Employee Perks: Potential for subsidized public transport tickets, company-provided equipment, and other benefits typical for established tech/finance companies.

Working Hours:

  • Standard full-time working hours are typically 40 hours per week. While the role is on-site, there may be flexibility in daily start and end times, subject to team and project needs, to support effective collaboration and research execution.

πŸ“ Enhancement Note: The salary range is an estimate based on professional experience and location. Benefits are tailored to what is commonly offered by established companies in Germany, with a focus on professional development relevant to a research operations role.

🎯 Team & Company Context

🏒 Company Culture

Industry: Banking and Financial Services Technology. DKB Code Factory operates within the established financial institution, Deutsche Kreditbank (DKB), focusing on building innovative digital platforms and applications. This context implies a need for rigorous, data-driven approaches that balance customer-centricity with security and regulatory compliance. Company Size: DKB Code Factory is part of the larger DKB group, which serves over 5 million customers. The Code Factory itself is likely a significant tech hub, employing a substantial number of developers, designers, researchers, and operations professionals, fostering a dynamic, innovation-focused environment within a stable financial institution. Founded: DKB was founded in 1996. The DKB Code Factory represents a more recent strategic initiative to accelerate digital transformation and product development, indicating a culture that values both established stability and forward-thinking innovation.

Team Structure:

  • The Senior UX Researcher will likely be part of a dedicated Research or Product Insights team, potentially within a broader Product Development or Digital Transformation unit.
  • This team will likely report into a Head of Product, Head of UX, or a similar leadership role overseeing product strategy and user experience.
  • Close collaboration is expected with Product Managers, UX/UI Designers, Data Analysts, Marketing specialists, and Sales teams, forming cross-functional squads or project teams.

Methodology:

  • Data-Driven Decision Making: A core operational principle, emphasizing the use of research findings and analytics to inform strategy and product roadmap decisions.
  • Agile & Iterative Development: Research activities will be integrated into agile development cycles, supporting rapid iteration and continuous improvement based on user feedback and data.
  • User-Centric Design Process: A commitment to understanding and advocating for the user throughout the product lifecycle, from discovery to optimization.
  • Cross-Functional Collaboration: Emphasis on breaking down silos and fostering strong working relationships between research, product, design, engineering, marketing, and sales teams to ensure alignment and shared ownership.

Company Website: https://www.dkbcodefactory.com/

πŸ“ Enhancement Note: The company context is framed to highlight how a research operations role fits within a large, established financial institution undergoing digital transformation. The focus is on how the company's structure and methodology support data-driven decision-making and user-centric product development.

πŸ“ˆ Career & Growth Analysis

Operations Career Level: This role is positioned as a "Senior" level, indicating significant autonomy, strategic input, and the expectation to lead complex projects and mentor others. It signifies a transition point from individual contributor to a role with leadership potential within the research and insights function. The emphasis on establishing frameworks and building capabilities suggests a move towards shaping research operations. Reporting Structure: The Senior UX Researcher will likely report to a Manager or Director of UX Research, Product Insights, or a related function. They will work closely with Product Managers and Design Leads within specific product teams or squads, acting as a key partner in product strategy and development. Operations Impact: The insights generated by this role directly influence product strategy, feature prioritization, user journey optimization, and marketing effectiveness. By establishing robust measurement frameworks and conducting rigorous experimentation, the researcher drives data-informed decisions that enhance customer satisfaction, increase product adoption, and ultimately contribute to the company's revenue and market position. The role operationalizes user understanding into tangible business improvements.

Growth Opportunities:

  • Leadership in Research Operations: Potential to grow into a lead role for specific research domains or to take ownership of developing and scaling research operations processes and infrastructure.
  • Specialization: Opportunity to deepen expertise in specific areas like behavioral economics, advanced quantitative analysis, or specific customer segments (e.g., retail banking, business clients).
  • Cross-Functional Leadership: Develop stronger leadership skills through increased collaboration and influence across product, design, marketing, and business units, potentially leading cross-functional initiatives.
  • Mentorship & Team Building: Formalize mentorship responsibilities and contribute to building a high-performing research team, including input into hiring and onboarding processes.
  • Strategic Influence: Increase involvement in defining overall product strategy and long-term customer experience vision for DKB.

πŸ“ Enhancement Note: The analysis emphasizes how this senior role contributes to "research operations," "scaling processes," and "strategic influence," which are key growth vectors for operations professionals. The career path is framed around building organizational capability rather than just individual research output.

🌐 Work Environment

Office Type: DKB Code Factory has a strong emphasis on fostering a collaborative and innovative work environment. While the role is designated as on-site in Berlin, the culture likely supports modern office setups that facilitate both focused work and team interaction. This could include open-plan areas, quiet zones, and collaborative spaces equipped for workshops and brainstorming sessions. Office Location(s): The primary office is located in Berlin, Germany, a vibrant hub for technology and innovation. This location offers access to a strong talent pool and a dynamic professional ecosystem. Specific details about the office facilities, such as accessibility and amenities, would be available upon inquiry or during the interview process.

Workspace Context:

  • Collaborative Hubs: The workspace is designed to encourage interaction, with dedicated areas for team meetings, cross-functional collaboration, and informal discussions, crucial for research operations where insights need to be shared and debated.
  • Technology-Rich Environment: Access to modern hardware, software, and research tools necessary for conducting advanced quantitative and qualitative research, data analysis, and experimentation.
  • Team Integration: Opportunities to embed with product teams, work alongside designers and product managers, and participate in daily stand-ups and sprint reviews, fostering a cohesive and integrated product development process.

Work Schedule:

  • A standard 40-hour work week is expected. While the role is on-site, DKB Code Factory likely offers a degree of flexibility in daily working hours, allowing researchers to manage their schedules effectively. This flexibility is important for accommodating research participant needs and ensuring research operations run smoothly without compromising collaboration.

πŸ“ Enhancement Note: The description of the work environment focuses on how the physical and temporal aspects support "research operations," emphasizing collaboration, access to tools, and integration with product development processes.

πŸ“„ Application & Portfolio Review Process

Interview Process:

  • Initial Screening: A brief call with a recruiter to assess basic qualifications, alignment with the role, and cultural fit.
  • Hiring Manager Interview: A deeper dive into your experience, research philosophy, and approach to complex research challenges. Expect questions about your end-to-end project experience and stakeholder management.
  • Portfolio Presentation & Case Study: A dedicated session where you will present 1-2 detailed case studies from your portfolio. This is a critical stage to demonstrate your research process, analytical skills, ability to derive insights, and translate them into actionable recommendations. Be prepared to discuss methodology choices, challenges faced, and the impact of your work.
  • Skills Assessment/Take-Home Challenge: Potentially a practical exercise or a take-home assignment designed to evaluate your research design, analysis, or problem-solving skills related to a specific business scenario.
  • Team/Cross-Functional Interviews: Meetings with key stakeholders (e.g., Product Managers, Designers, potentially engineers or marketing leads) to assess collaboration style, communication effectiveness, and ability to integrate research into product development workflows.
  • Final Interview: A concluding conversation, often with a senior leader, to confirm overall fit and discuss career aspirations.

Portfolio Review Tips:

  • Structure for Impact: Organize your portfolio around key projects that showcase your end-to-end research capabilities. For each project, clearly outline the problem, your role, the methodology used, key findings, actionable recommendations, and the resulting impact (quantified if possible).
  • Highlight Operations: Emphasize the process behind your research. Detail how you planned, executed, and analyzed your work. Showcase your ability to build research frameworks, establish measurement systems, and integrate research into product development lifecycles.
  • Quantitative & Qualitative Balance: Ensure your portfolio demonstrates strength in both quantitative and qualitative methods. Provide specific examples of advanced quantitative analyses and how they complemented qualitative insights.
  • Actionability is Key: Focus on how your research translated into tangible outcomes. Show how you influenced decisions and drove positive changes for users and the business.
  • Tailor to the Role: Understand DKB's focus on banking and digital transformation. Highlight projects relevant to financial services, customer journeys, or complex digital products.
  • Conciseness and Clarity: Be prepared to walk through your case studies efficiently, focusing on the most impactful aspects. Use clear visuals and data visualizations where appropriate.

Challenge Preparation:

  • Understand the Business Context: Research DKB, its products, and its customer base. Understand the challenges faced by digital banking and financial services.
  • Methodology Focus: Be ready to discuss your preferred research methodologies for different scenarios and justify your choices.
  • Data Interpretation: Practice interpreting data sets and deriving meaningful insights. Be prepared to explain how you would approach analyzing experimental results or survey data.
  • Behavioral Science Application: Think about how behavioral science principles could be applied to common banking scenarios or user challenges.
  • Stakeholder Alignment Scenarios: Prepare examples of how you would communicate complex findings to different audiences and gain buy-in for your recommendations.

πŸ“ Enhancement Note: This section provides detailed, actionable advice on preparing a portfolio and interviewing for a research operations role, emphasizing the need to demonstrate process, impact, and strategic thinking.

πŸ›  Tools & Technology Stack

Primary Tools:

  • Survey Platforms: Qualtrics, SurveyMonkey Enterprise, or similar for designing, distributing, and analyzing surveys.
  • User Research Platforms: Tools for remote usability testing, session recording, and participant recruitment (e.g., UserTesting.com, Lookback, Maze).
  • Data Analysis Software: Statistical packages such as R, SPSS, or Python libraries (Pandas, NumPy) for quantitative analysis.
  • Qualitative Analysis Tools: Software for thematic analysis, coding, and synthesis of qualitative data (e.g., NVivo, Dovetail, Miro).

Analytics & Reporting:

  • Web Analytics: Google Analytics, Adobe Analytics for tracking user behavior on digital platforms.
  • BI & Dashboard Tools: Tableau, Power BI, or similar for visualizing data and creating reports for stakeholders.
  • Experimentation Platforms: Tools for A/B testing and multivariate testing (e.g., Optimizely, VWO, internal experimentation frameworks).

CRM & Automation:

  • While not a direct CRM role, familiarity with CRM data (e.g., Salesforce, Dynamics 365) for customer segmentation and understanding customer journeys can be beneficial.
  • Understanding of marketing automation platforms (e.g., HubSpot, Marketo) may be useful for campaign-related research.

πŸ“ Enhancement Note: The tool stack is tailored to a Senior UX Researcher role, with an emphasis on platforms and software used for data collection, analysis, experimentation, and reporting, all critical components of research operations.

πŸ‘₯ Team Culture & Values

Operations Values:

  • Data-Driven Impact: A strong commitment to using research and data to drive meaningful improvements in customer experience and business outcomes, ensuring that insights translate into action.
  • User Advocacy: Championing the voice of the customer within the organization, ensuring that user needs and perspectives are central to product development and strategic decisions.
  • Methodological Rigor: Upholding high standards for research design, execution, and analysis to ensure the validity and reliability of findings.
  • Collaboration & Transparency: Fostering an environment of open communication and collaboration across teams, sharing research plans, findings, and learnings transparently.
  • Continuous Improvement: A dedication to constantly refining research processes, exploring new methodologies, and enhancing the team's overall capabilities.

Collaboration Style:

  • Partnership-Oriented: Working as a close partner with product management, design, engineering, and marketing teams, embedding research insights directly into their workflows.
  • Facilitative Leadership: Guiding cross-functional teams through research processes, workshops, and insight synthesis to ensure shared understanding and alignment.
  • Constructive Feedback Culture: Open to giving and receiving feedback on research approaches, findings, and recommendations to drive continuous improvement and innovation.
  • Knowledge Sharing: Actively sharing research learnings and best practices across the organization to build a collective understanding of the user and foster a research-informed culture.

πŸ“ Enhancement Note: The values and collaboration style are framed to reflect an operations-minded team that prioritizes systematic processes, cross-functional integration, and measurable impact.

⚑ Challenges & Growth Opportunities

Challenges:

  • Balancing Mixed Methods: Effectively integrating and triangulating findings from diverse quantitative and qualitative research streams to form a cohesive narrative.
  • Driving Actionability: Ensuring that research insights are not just delivered, but are understood, adopted, and acted upon by cross-functional teams, overcoming potential resistance or competing priorities.
  • Scaling Research Operations: Developing and implementing scalable research processes and infrastructure to support a growing product portfolio and increasing demand for insights.
  • Measuring Research Impact: Defining and tracking the ROI of research efforts to demonstrate their value and secure continued investment in user insights.
  • Navigating Organizational Complexity: Working within a large financial institution requires understanding multiple stakeholder needs, regulatory considerations, and established processes.

Learning & Development Opportunities:

  • Advanced Analytics & Behavioral Science: Deepen expertise in complex statistical methods, predictive modeling, and cutting-edge behavioral economics principles.
  • Research Operations Management: Gain experience in managing research tools, budgets, vendor relationships, and building scalable research infrastructure.
  • Strategic Product Leadership: Develop skills in influencing product strategy, roadmap planning, and contributing to the long-term vision for customer experience.
  • Cross-Functional Team Leadership: Enhance leadership capabilities through mentoring, facilitating workshops, and driving consensus among diverse stakeholder groups.
  • Industry Conferences & Certifications: Opportunities to attend leading UX and CX research conferences, pursue relevant certifications, and stay abreast of industry best practices.

πŸ“ Enhancement Note: Challenges are framed in terms of operational complexities and strategic impact, while growth opportunities focus on advancing within research operations and strategic leadership.

πŸ’‘ Interview Preparation

Strategy Questions:

  • "Describe a time you had to establish a new CX measurement framework from scratch. What were the key considerations, and how did you ensure its adoption and ongoing success?" (Focus: Framework design, implementation, stakeholder buy-in, measurement operations)
  • "Walk us through a complex research project where you used both quantitative and qualitative methods. How did you integrate the findings, and what was the ultimate impact on the product or business?" (Focus: Mixed-methods expertise, insight synthesis, impact demonstration)
  • "How do you apply behavioral science principles to your research design or recommendations? Provide a specific example." (Focus: Behavioral science application, theoretical knowledge, practical implementation)
  • "Imagine a product team is hesitant to act on your research findings. How would you approach influencing them and ensuring your recommendations are implemented?" (Focus: Stakeholder management, communication, influence, driving action)

Company & Culture Questions:

  • "What interests you about DKB Code Factory and the financial services industry specifically?" (Focus: Genuine interest, understanding of industry context)
  • "How would you approach mentoring junior researchers and contributing to the methodological growth of the team?" (Focus: Mentorship style, team development approach)
  • "Describe your ideal collaboration with product managers and UX designers. How do you ensure research is integrated seamlessly into their workflows?" (Focus: Collaboration, integration, process alignment)
  • "How do you measure the success and impact of your research initiatives?" (Focus: Metrics, ROI, demonstrating value)

Portfolio Presentation Strategy:

  • The "So What?" Factor: For each case study, clearly articulate the "so what?" – the actionable insights and the tangible impact. Don't just present data; tell a story of problem, solution, and outcome.
  • Process Over Artifacts: While results are important, focus on showcasing your process – your thinking, your methodology, how you overcame challenges, and how you collaborated. This demonstrates your operational capability.
  • Quantify Impact: Whenever possible, use numbers to demonstrate the impact of your research (e.g., "increased conversion by X%", "reduced customer effort by Y%", "informed a feature adopted by Z% of users").
  • Be Ready for Deep Dives: Anticipate detailed questions about your methodology, data analysis, and decision-making process. Be prepared to defend your choices and discuss alternative approaches.
  • Engage Your Audience: Make your presentation interactive. Ask clarifying questions, invite discussion, and ensure your stakeholders feel involved.

Challenge Preparation:

  • Problem Framing: Be prepared to analyze a given problem or scenario, define research questions, and propose a research plan.
  • Data Interpretation: Practice interpreting sample data sets (e.g., survey results, A/B test outcomes, user feedback snippets) and drawing actionable conclusions.
  • Methodology Justification: Be ready to explain why you would choose certain research methods over others for a given problem.
  • Communication of Insights: Practice articulating complex insights in a clear, concise, and compelling manner, suitable for different audiences.

πŸ“ Enhancement Note: Interview preparation advice is tailored to highlight the operational aspects of research, focusing on process, impact measurement, and driving action, which are crucial for senior operations roles.

πŸ“Œ Application Steps

To apply for this Senior UX Researcher position:

  • Submit your application through the provided link on the DKB Code Factory careers page.
  • Curate Your Portfolio Strategically: Select 2-3 of your strongest end-to-end research case studies that best showcase your mixed-methods expertise, ability to drive impact, and experience with establishing research frameworks. Ensure each case study clearly articulates the problem, your role, methodology, key insights, actionable recommendations, and quantifiable results.
  • Optimize Your Resume for Operations: Tailor your resume to highlight experience in research operations, establishing measurement systems, conducting advanced analytics, stakeholder management, and driving product decisions through data. Use keywords from the job description such as "CX measurement frameworks," "quantitative analysis," "behavioral science," and "stakeholder communication."
  • Prepare Your Portfolio Presentation: Practice walking through your selected case studies concisely, focusing on your process, the operational aspects of your research, and the business impact. Be ready to answer in-depth questions about your methodology and decision-making.
  • Research DKB Code Factory: Familiarize yourself with DKB's mission, products, and recent developments. Understand their position in the financial services market and identify potential areas where user research can drive innovation and customer satisfaction. Prepare thoughtful questions about their current research practices and challenges.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.


Application Requirements

Candidates should have extensive experience in UX/CX research with a strong expertise in various research methods and data analysis. Excellent communication skills in both German and English are also required.