Data Visualization & UX/UI – Data Products - Senior
📍 Job Overview
Job Title: Data Visualization & UX/UI – Data Products - Senior
Company: Jobgether (Partner Company)
Location: Brazil
Job Type: Full-time
Category: Data & Analytics / Design / Consulting
Date Posted: 2026-08-31
Experience Level: Senior (5-10 years estimated)
Remote Status: Remote OK (within Brazil)
🚀 Role Summary
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Lead the design and development of innovative data products, including Apps, dashboards, and analytical experiences, leveraging platforms like Celonis and advanced data visualization technologies.
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Translate complex business requirements and data analyses into intuitive, actionable user interfaces and decision-oriented solutions.
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Define and own the end-to-end user experience, encompassing information architecture, interaction design, prototyping, user testing, and continuous improvement cycles.
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Collaborate closely with Process Mining teams and multidisciplinary stakeholders to deliver impactful enterprise solutions at the intersection of business, data, design, and technology.
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Progressively expand capabilities into front-end development, contributing to the full lifecycle of digital product delivery and creating reusable visual patterns for enhanced consistency.
📝 Enhancement Note: This role is presented as a senior consulting opportunity, emphasizing the creation of digital products and analytical experiences. The "Senior" title, coupled with the expectation of owning user experience and potentially expanding into front-end development, suggests a candidate with a strong portfolio and proven ability to drive projects from conception to completion. The focus on "Data Products" indicates a need for understanding how data translates into tangible, user-facing solutions.
📈 Primary Responsibilities
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Design and develop sophisticated Apps, dashboards, and analytical experiences using Celonis and other leading data visualization platforms.
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Translate intricate business requirements and detailed data analyses into intuitive, functional, and decision-oriented user interfaces.
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Define robust information architecture, navigation structures, visual hierarchy, and overall user experiences for data products.
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Create detailed wireframes, interactive prototypes, and interfaces for digital and data-driven products, ensuring a seamless user journey.
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Apply advanced Data Visualization and Information Design principles to effectively represent KPIs, trends, deviations, root causes, and critical business opportunities.
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Develop and champion reusable visual patterns and components to enhance consistency and efficiency across the digital product ecosystem.
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Conduct thorough user testing, gathering and incorporating feedback and insights to continuously refine and improve analytical solutions.
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Foster strong collaboration with Process Mining, business, technology, and other multidisciplinary teams throughout the product development lifecycle.
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Proactively identify opportunities to enhance usability, clarity, accessibility, and the overall product experience for end-users.
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Progressively contribute to custom interface development and front-end implementation as the role matures and business needs evolve.
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Clearly and effectively communicate design decisions, rationale, and recommendations to both technical and business stakeholders.
📝 Enhancement Note: The responsibilities highlight a blend of strategic design thinking, hands-on execution, and cross-functional collaboration. The emphasis on Celonis and Process Mining suggests a specific domain expertise required, while the broader mention of "other relevant data visualization technologies" indicates a need for adaptability. The progressive expansion into front-end development points to a growth trajectory within the role.
🎓 Skills & Qualifications
Education:
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Bachelor’s degree in Engineering, Business Administration, Economics, Marketing, or a closely related field. Experience:
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Solid professional experience in developing IT or digital products, with a focus on user-centric design and data-driven solutions.
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Proven track record in Data Visualization and UX/UI design, encompassing information architecture, interaction design, and interface development. Required Skills:
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Strong understanding of Data Visualization and Information Design principles, with the ability to translate data into compelling visual narratives.
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Proficiency in creating wireframes, prototypes, and interactive concepts using industry-standard tools.
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Experience with analytics, Business Intelligence (BI), or data visualization platforms.
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Demonstrated ability to conduct user testing and incorporate feedback for product iteration.
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Excellent written and verbal communication skills, adept at explaining complex design decisions to diverse audiences.
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Advanced proficiency with Microsoft Office Suite, particularly Excel, PowerPoint, and Word for analysis and presentation.
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A strong portfolio or demonstrable examples showcasing previous work in Data Visualization, dashboards, digital products, or UX/UI design. Preferred Skills:
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Experience with Process Mining and/or Celonis, with a particular focus on building Apps and Views.
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Experience designing B2B or enterprise digital products and analytical solutions.
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Foundational knowledge of HTML, CSS, and JavaScript/TypeScript.
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Familiarity with front-end frameworks such as React.
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Knowledge of SQL and data modeling concepts.
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Experience with Design Systems and the creation/utilization of reusable component libraries.
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Familiarity with BI platforms like Power BI, Tableau, or Looker.
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Knowledge of user research methodologies, usability testing, and user validation practices.
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Fluency in English.
📝 Enhancement Note: The requirements emphasize a strong foundation in design principles and practical experience with data visualization tools. The "preferred" skills highlight a clear pathway for growth and a strong preference for candidates with direct experience in the Process Mining/Celonis ecosystem, as well as foundational front-end development skills.
📊 Process & Systems Portfolio Requirements
Portfolio Essentials:
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Showcase a minimum of 3-5 distinct projects demonstrating expertise in data visualization and UX/UI design for digital or analytical products.
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Include case studies that clearly articulate the business problem, user needs, design process, and the ultimate impact or ROI of the solutions.
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Provide examples of wireframes, interactive prototypes, and final dashboards or application interfaces, highlighting user flow and information architecture.
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Detail the tools and technologies used in each project, with a specific emphasis on any experience with Celonis, BI tools, or front-end development.
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Demonstrate how user feedback and testing were incorporated into the design iteration process for at least one project. Process Documentation:
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For each portfolio project, be prepared to discuss the discovery and requirements gathering phase, including how business needs were translated into design specifications.
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Be ready to explain the iterative design process, including prototyping, user testing, and refinement cycles.
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Articulate the rationale behind key design decisions, focusing on how they address specific user needs and business objectives within the context of data products.
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Discuss the collaboration process with technical teams and stakeholders during development and implementation.
📝 Enhancement Note: A robust portfolio is critical for this role, serving as the primary evidence of a candidate's design capabilities and understanding of data product development. The emphasis should be on showcasing the entire design lifecycle and the tangible impact of the work, particularly within enterprise or B2B contexts.
💵 Compensation & Benefits
Salary Range:
Given the senior level, the location in Brazil, and the specialized skill set (Data Visualization, UX/UI, Process Mining/Celonis, potential front-end development), a competitive salary range for a Senior Data Visualization & UX/UI professional in Brazil would typically fall between R$10,000 to R$18,000 per month. This estimate is based on industry benchmarks for senior technical and design roles in major Brazilian tech hubs, considering the cost of living and demand for these specialized skills.
Benefits:
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Flexible benefits package, customizable to individual needs and life circumstances.
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"All Points" program for flights and accommodation, supporting travel needs.
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Comprehensive medical and dental assistance plans.
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Life insurance coverage.
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Pet care and insurance partnerships.
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Mobility benefits, including fuel and ride-sharing options (Uber/99).
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Flexible reimbursement for a wide range of expenses: glasses, vaccines, education, entertainment, and more.
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Meal and/or food allowance.
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Birthday day off for personal celebration.
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Wellhub fitness and wellness benefits for employee well-being.
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Alelo Club offering discounts at various stores and pharmacies.
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Extended maternity leave (180 days) and paternity leave (30 days) to support new parents.
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Childcare assistance for the baby's first year.
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Transportation allowance based on project or business requirements.
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Annual bonus program.
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Commission opportunities for successful client referrals.
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Access to a global training and development center with extensive professional courses.
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Dedicated "Flex Time" for professional development activities.
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Mentoring programs with experienced leaders to foster growth.
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Semiannual performance reviews and a strong feedback culture.
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Recurring 1:1 sessions with leadership and team members for continuous alignment.
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Personalized development plans tailored to individual career goals.
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Global onboarding and professional development programs.
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Opportunities to engage in high-impact consulting projects with major companies across diverse industries. Working Hours:
The standard working hours are expected to be around 40 hours per week, aligning with a full-time engagement. The "Flex Time" benefit suggests a degree of flexibility in how and when work is accomplished, provided project deadlines and team collaboration needs are met.
📝 Enhancement Note: The salary estimate is a benchmark for a senior role in Brazil, and actual compensation will depend on the specific partner company and the candidate's exact experience. The extensive list of benefits indicates a company that invests heavily in employee well-being, professional development, and work-life balance.
🎯 Team & Company Context
🏢 Company Culture
Industry: The partner company operates within the technology and consulting sectors, likely focusing on digital transformation, process optimization, and data analytics solutions. The emphasis on Process Mining and Celonis suggests a specialization in leveraging advanced analytics to drive business efficiency and operational excellence for clients.
Company Size: Jobgether itself is a platform facilitating job matching, implying it works with a diverse range of companies. The partner company hiring for this role could range from a boutique consulting firm to a larger enterprise solutions provider. The "Senior" level suggests a company that values experienced professionals capable of independent work and leadership.
Founded: Information about the founding date of the partner company is not provided. However, the focus on modern technologies like Process Mining and advanced data visualization suggests a forward-thinking organization established to meet contemporary business challenges.
Team Structure:
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The Data Visualization & UX/UI team likely comprises specialists in design, data analysis, and potentially front-end development, working in close alignment with Process Mining experts.
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Reporting structure is expected to be relatively flat within project teams, with a senior lead or manager overseeing the overall data product strategy and client engagements.
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Cross-functional collaboration is a core tenet, with frequent interaction with business stakeholders, IT departments, and other consulting teams to ensure seamless integration and delivery of solutions. Methodology:
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Data analysis and insights are central, with a strong emphasis on transforming raw data into visually understandable and actionable information.
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Workflow planning and optimization strategies are key, particularly in how user interfaces and data products can streamline business processes and decision-making.
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Automation and efficiency practices are encouraged, both in the development of tools and in the internal operations of the consulting teams.
Company Website: https://jobgether.com/ (Jobgether platform)
The partner company's website is not directly provided, but applications are managed by them.
📝 Enhancement Note: The context provided by Jobgether's platform suggests that the partner company is likely a sophisticated organization that leverages technology and data to deliver value to its clients. The role itself is positioned at the forefront of digital product development and data-driven consulting.
📈 Career & Growth Analysis
Operations Career Level: This is a Senior-level position, indicating that candidates are expected to operate with a high degree of autonomy, possess deep expertise in their domain, and potentially mentor more junior team members. It signifies a role that involves strategic input, complex problem-solving, and significant project ownership.
Reporting Structure: While specific reporting lines are not detailed, a senior role typically reports to a Manager, Director, or Principal Consultant. Within project teams, the Senior Data Visualization & UX/UI specialist will likely work closely with Process Mining Leads and Project Managers, contributing significantly to client success.
Operations Impact: The role's impact is directly tied to the effectiveness and adoption of the data products created. By transforming complex data into clear, actionable insights, this position enables clients to make better business decisions, optimize processes, identify new opportunities, and ultimately drive revenue growth and operational efficiency. The success of these data products is a direct measure of the role's contribution.
Growth Opportunities:
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Operations Skill Advancement: Opportunity to deepen expertise in Process Mining, Celonis, and advanced data visualization techniques, potentially becoming a subject matter expert.
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Technical Expansion: Progress into front-end development, gaining proficiency in modern web technologies and frameworks, and contributing to end-to-end digital product delivery.
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Leadership Potential: Develop leadership skills through mentoring junior colleagues, leading design initiatives, and taking ownership of client engagements, paving the way for Principal or Lead roles.
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Industry Exposure: Gain broad experience working with major companies across diverse industries, tackling a wide range of business challenges and data problems.
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Continuous Learning: Access to a global training and development center, "Flex Time" for self-directed learning, and mentoring programs foster ongoing professional and personal growth.
📝 Enhancement Note: The career path for this role is designed for significant professional development, moving beyond pure design to encompass product ownership and technical implementation. The emphasis on continuous learning and mentorship provides a structured approach to career advancement within the operations and consulting landscape.
🌐 Work Environment
Office Type: While the role is remote-friendly within Brazil, the description implies a collaborative and hands-on environment. If there are physical office locations for the partner company, they would likely be modern, designed to foster collaboration, and equipped with the necessary technology for design and development work.
Office Location(s): The role is based in Brazil, with remote work being an option. Specific office locations for the partner company are not listed, but if they exist, they would likely be in major business centers within Brazil to facilitate client engagement and team collaboration.
Workspace Context:
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The workspace is expected to be highly collaborative, with frequent interaction and knowledge sharing among design, data, and technology professionals.
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Access to advanced operations tools and technology is implied, including data visualization platforms, prototyping software, and potentially front-end development environments.
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Opportunities for direct interaction with leadership and team members are encouraged through regular 1:1s and feedback sessions, fostering a connected and supportive work environment.
Work Schedule: The role is full-time, typically around 40 hours per week. The "Flex Time" benefit suggests that while core hours may exist for team collaboration and client meetings, there's an allowance for flexible scheduling to accommodate personal development and work-life balance.
📝 Enhancement Note: The work environment appears to be a hybrid model, prioritizing flexibility for remote employees within Brazil while maintaining a collaborative ethos. The emphasis on technology and continuous interaction suggests a dynamic and engaging workplace culture.
📄 Application & Portfolio Review Process
Interview Process:
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Initial Screening: Applications are processed by Jobgether's AI-powered matching system, followed by a review by the hiring company. Candidates will likely be assessed for alignment with core requirements.
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Technical & Design Assessment: Expect a portfolio review where candidates present their work, discussing their design process, problem-solving approaches, and the impact of their projects. This may include a case study presentation.
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Problem-Solving Challenge: A practical exercise or case study might be presented to assess analytical skills, design thinking, and ability to translate requirements into tangible solutions within a given timeframe.
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Stakeholder Interviews: Interviews with key members of the data, design, or consulting teams to evaluate technical fit, collaboration style, and cultural alignment.
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Final Evaluation: Discussions with senior leadership to assess strategic thinking, leadership potential, and overall fit for the role and company culture.
Portfolio Review Tips:
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Curate Strategically: Select projects that best highlight your skills in Data Visualization, UX/UI, information architecture, and experience with data products (especially if they involve Celonis or similar platforms).
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Tell a Story: For each project, clearly articulate the problem, your role, the design process (including user research and iteration), the technical solutions, and the measurable outcomes or business impact.
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Show, Don't Just Tell: Use visuals effectively – showcase wireframes, prototypes, user flows, and high-fidelity mockups. If possible, include interactive prototypes or links to live examples.
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Quantify Impact: Whenever possible, use metrics to demonstrate the success of your designs (e.g., improved user engagement, reduced error rates, increased data adoption, efficiency gains).
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Tailor to the Role: Highlight any experience with Process Mining, Celonis, enterprise solutions, or front-end development, as these are key preferences for this role.
Challenge Preparation:
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Understand the Context: If given a case study, thoroughly research the industry and potential business challenges related to process mining and data analytics.
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Focus on Process: Be prepared to articulate your design process, decision-making rationale, and how you would approach problem-solving for a data product.
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Data-Driven Approach: Frame your solutions with data in mind, discussing how you would measure success and iterate based on performance.
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Communication is Key: Practice clearly explaining your thought process and design choices to both technical and non-technical stakeholders.
📝 Enhancement Note: The application process emphasizes a data-driven approach, with a strong focus on evaluating a candidate's portfolio and practical problem-solving skills. Candidates should be prepared to demonstrate their ability to translate complex data into user-friendly and impactful digital products.
🛠 Tools & Technology Stack
Primary Tools:
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Celonis: Deep expertise in designing and developing Apps and Views within the Celonis Process Mining platform is highly advantageous.
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Data Visualization Platforms: Experience with a range of tools such as Power BI, Tableau, Looker, or similar platforms for creating insightful dashboards and reports.
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Prototyping & Design Tools: Proficiency with tools like Figma, Sketch, Adobe XD, InVision, or similar for wireframing, prototyping, and UI design.
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Information Architecture Tools: Familiarity with tools or methods for mapping out user journeys, site maps, and content structures.
Analytics & Reporting:
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BI Tools: Tools like Power BI, Tableau, Looker for creating interactive dashboards and reports that track KPIs and business performance.
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Web Analytics: Understanding of how to integrate data from web analytics tools (e.g., Google Analytics) into product designs for user behavior analysis.
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Dashboarding: Skills in designing clear, concise, and actionable dashboards tailored to specific stakeholder needs.
CRM & Automation:
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CRM Systems: While not a primary focus, understanding how data products interact with CRM systems (e.g., Salesforce) can be beneficial.
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Integration Concepts: Awareness of how different data sources and systems can be integrated to feed into data products.
Development Technologies (Preferred):
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Front-end Frameworks: Familiarity or experience with React or other modern JavaScript frameworks.
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Web Technologies: Foundational knowledge of HTML, CSS, and JavaScript/TypeScript.
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SQL: Desirable knowledge for data querying and understanding data models.
📝 Enhancement Note: The technology stack is a critical component of this role. Proficiency with Celonis and general data visualization tools is essential, with a strong preference for candidates who also possess front-end development skills and understanding of data modeling.
👥 Team Culture & Values
Operations Values:
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Data-Driven Excellence: A core value is the commitment to using data not just for analysis, but as the foundation for all design decisions and product development.
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User-Centricity: Prioritizing the end-user experience, ensuring that data products are intuitive, accessible, and genuinely solve user needs.
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Collaboration & Transparency: Fostering an environment where open communication, knowledge sharing, and cross-functional teamwork are paramount.
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Innovation & Continuous Improvement: Encouraging creative problem-solving, embracing new technologies, and consistently seeking ways to enhance processes and product quality.
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Impact & Accountability: Focusing on delivering tangible business value and taking ownership of project outcomes, from design to implementation.
Collaboration Style:
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Cross-Functional Integration: Seamless collaboration between design, data analysis, and technical teams is expected, working harmoniously to achieve shared project goals.
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Feedback-Driven Process: A culture that encourages constructive feedback at all stages of the design and development lifecycle, fostering a learning environment.
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Knowledge Sharing: Active participation in sharing best practices, design patterns, and insights through internal sessions, documentation, and informal discussions.
📝 Enhancement Note: The culture emphasizes a blend of technical expertise, design thinking, and strong interpersonal skills. Professionals who thrive in collaborative, feedback-rich environments and are driven by data and user impact will find this appealing.
⚡ Challenges & Growth Opportunities
Challenges:
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Translating Complex Data: The primary challenge will be simplifying highly complex datasets and process mining insights into easily understandable and actionable visual formats for diverse business users.
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Balancing User Needs and Technical Constraints: Effectively managing stakeholder expectations and technical limitations while ensuring a superior user experience and product functionality.
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Adoption of New Tools/Processes: Driving the adoption of new data products and analytical experiences within client organizations, which may involve change management and user training.
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Keeping Pace with Technology: Continuously learning and adapting to evolving data visualization technologies, UX/UI trends, and front-end development practices.
Learning & Development Opportunities:
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Specialized Training: Access to a global training center for advanced courses in Celonis, data visualization, UX/UI design, and front-end development.
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Industry Conferences & Certifications: Opportunities to attend relevant industry events and pursue certifications to deepen expertise.
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Mentorship Programs: Guidance from experienced leaders and senior professionals to navigate career paths and develop leadership skills.
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Exposure to Diverse Projects: Working on a variety of consulting projects across different industries provides broad exposure and rapid skill development.
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Dedicated Development Time: "Flex Time" specifically allocated for self-directed learning and professional growth.
📝 Enhancement Note: This role presents significant opportunities for growth by tackling complex data challenges and leveraging advanced technologies. The company's commitment to learning and development ensures that professionals can continuously evolve their skill sets.
💡 Interview Preparation
Strategy Questions:
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"Describe a time you had to translate highly complex data into a simple, actionable insight for a non-technical audience. What was your process and what was the outcome?" (Focus on your data visualization and communication skills.)
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"Walk us through your process for designing a new dashboard or analytical app. How do you approach information architecture, user flows, and stakeholder buy-in?" (Demonstrate your UX/UI process and collaboration.)
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"Imagine a client wants to visualize deviations and root causes identified through Process Mining. How would you approach designing an interactive experience for this?" (Assess your ability to apply principles to specific process mining scenarios.)
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"Tell us about a time you received critical feedback on a design. How did you handle it, and what changes did you make?" (Evaluate your receptiveness to feedback and iterative design approach.) Company & Culture Questions:
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"What interests you about working with data products and Process Mining specifically?" (Show your genuine interest and understanding of the domain.)
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"How do you stay updated on the latest trends in Data Visualization and UX/UI design?" (Demonstrate your commitment to continuous learning.)
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"Describe your ideal collaborative environment when working on a digital product." (Assess your fit with the team's collaborative style.)
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"How do you measure the success of a data visualization or digital product you've designed?" (Highlight your focus on impact and ROI.) Portfolio Presentation Strategy:
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Structure is Key: Have a clear narrative for each project – Problem, Solution, Impact.
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Highlight Your Role: Be specific about your contributions, especially if it was a team project.
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Showcase Process: Don't just show the final product; explain your thinking, sketches, wireframes, and user testing iterations.
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Quantify Results: Use metrics to demonstrate the value and success of your designs.
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Technical Details: Be ready to discuss the tools and technologies used, and articulate any experience with Celonis, BI platforms, or front-end coding.
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Engage Your Audience: Make it a conversation, not a monologue. Be prepared for questions about your design choices and problem-solving approach.
📝 Enhancement Note: Interview preparation should focus on demonstrating a strong understanding of design principles, a practical understanding of data and process mining, and the ability to articulate one's process and impact clearly. The portfolio is the central piece of evidence.
📌 Application Steps
To apply for this operations position:
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Submit your application through the provided link, ensuring all required fields are completed accurately.
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Portfolio Customization: Tailor your resume and cover letter to highlight specific experiences in Data Visualization, UX/UI design, Process Mining (especially Celonis), and any relevant front-end development skills. Ensure your portfolio prominently features projects that align with the job description's requirements.
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Resume Optimization: Integrate keywords from the job description naturally into your resume. Quantify your achievements wherever possible, focusing on the impact of your design and development work on business outcomes.
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Interview Preparation: Practice articulating your design process, problem-solving strategies, and project outcomes. Prepare to walk through your portfolio in detail and discuss specific design decisions and their rationale.
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Company Research: Understand Jobgether's role as a platform and research the partner company if further information becomes available. Familiarize yourself with their industry, client base, and any publicly available information on their approach to data and digital solutions.
⚠️ 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
Requires a bachelor's degree in Engineering, Business, Economics, or a related field with solid professional experience in digital products. Candidates must demonstrate strong proficiency in Data Visualization, UX/UI principles, and analytical tools.