
UX Researcher
Infomineo
full-time
Posted on:
Location Type: Hybrid
Location: Cairo • 🇪🇬 Egypt
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
NumpyPandasPythonSQL
About the role
- Plan and Execute Design Sprints: Lead cross-functional Design Sprints or Venture Design sprints. You will guide the cross functional teams through mapping user journeys, sketching solutions, and deciding on the MVP.
- Identify Needs & Solutions: Facilitate workshops to identify deep user pain points and unmet needs. You are expected to move beyond problem identification and propose tangible solutions to tackle them.
- Strategy Alignment: Ensure that sprint outcomes align with the broader company goals and business viability.
- Prototype & Iterate: Create low-to-mid fidelity prototypes (wireframes, click-throughs) to visualize potential solutions immediately following discovery sessions.
- Validate Before Execution: Conduct iterative testing on these prototypes to validate ideas before development begins. You will be the gatekeeper who ensures engineering resources are not wasted on unproven concepts.
- Rapid Feedback Loops: Set up quick feedback mechanisms to iterate on product design daily or weekly based on user inputs.
- Feature Prioritization: Design and deploy quantitative surveys specifically aimed at understanding feature and product attribute priorities. You will answer: "Which feature drives the most value?" and "What is the optimal product configuration?"
- Advanced Methodologies: Utilize methodologies such as Conjoint Analysis, MaxDiff, and Kano Modeling to rank user preferences scientifically.
- Inferential Statistics: Apply inferential statistics to validate findings. You will be responsible for calculating statistical significance, confidence intervals, and effect sizes.
- Technical Rigor: Determine if a result is significant (e.g., $p < 0.05$) and explain the business implication. You must be able to differentiate between signal and noise when advising on the roadmap.
- Partner with Product and Development teams to marry log data with attitudinal survey data.
- Work closely with Product Managers to translate quantitative insights into actionable improvements.
- Democratize data by creating accessible dashboards and reports for stakeholders.
Requirements
- Education: Degree in Statistics, Marketing or a related field.
- Experience: 2-5 years of experience within product teams.
- Prototyping Tools: Proficiency in Figma, or similar tools to create testable artifacts.
- Statistical Tools: Proficiency in Python (pandas, NumPy, SciPy), R or SPSS.
- Statistical Knowledge: Proficiency and understanding of parametric and non-parametric statistical tests.
- Survey Platforms: Proficiency with tools like Qualtrics, SurveyMonkey, Typeform or other similar tools.
- Data Manipulation: SQL skills to query databases and build dashboards.
- Facilitation: Strong ability to command a room, guide stakeholders through ambiguity, and run productive Design Sprints.
- Data Storytelling: The ability to translate statistical concepts into clear, human-centric narratives that aid decision making.
- Critical Thinking: A healthy skepticism of data. You know when data is "dirty" and how to check for bias.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
prototypinginferential statisticsparametric testsnon-parametric testsdata manipulationfeature prioritizationuser journey mappingquantitative analysisstatistical significancedata visualization
Soft skills
facilitationcritical thinkingdata storytellingcross-functional collaborationproblem-solvingcommunicationleadershipuser empathyadaptabilitystrategic alignment