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Usability Researcher 2

1 month ago

Redmond, United States Aditi Consulting Full time
Summary
As a UX Researcher 2 in the Data Cloud Studio you will work closely with senior members on the team and become an expert in the motivations, workflows, and habits of data professionals and bring that expertise to the strategy, design, and growth of the many products and services in the cloud data suite. The UX Research team takes a multi-methods approach, combining expertise and creativity with both quantitative and qualitative methods combined with big data analysis to identify emerging patterns and usage and uncover user insights, unarticulated needs, and new product/service opportunities and priorities.

Responsibilities
  • Collaborate with a high-performing UX Research team with expertise in all types of research including qualitative, survey, usability, metrics, plus partnering with big data experts for analyses of behavioral data.
  • Foster relationships with PM and design teams throughout the Data Organization so you stay close to our stakeholders and their challenges.
  • Conduct a mixture of qualitative and quantitative research activities to inform product design, including but not limited to ethnographic explorations, usability studies, heuristic evaluations, interviews, contextual inquiry, surveys, user journey maps, benchmarks or any method that answers the most important research questions.
  • Snap to organization-wide priorities and success criteria to design and execute on a research program that meets the organization's needs.

Top 3 Hard Skills Required + Years of Experience
  • Minimum 2+ years' experience with Markov chains, using computational notebooks.
  • Minimum 3+ years' experience with Quantitative Research skills
  • Minimum 2+ years' experience with analyzing telemetry/user behavior through statistical methods, specifically regression analysis

Education/Experience:
  • PHD degree is required to be eligible for this role. (have the experience of creating new knowledge in a scientific peer reviewed environment. Some disciplines but even political science PhDs make excellent quant researchers)
  • 2-4 years related experience required.

Qualifications
  • 3+ years of experience conducting UX research in technical domains.
  • Ability to quickly and effectively analyze research data and present rich findings simply and clearly to influence product design and direction.
  • Passion for learning new technologies and understanding the needs of users across a wide range of technical abilities.
  • Growing communication and project management skills.

Preferred Qualifications:
  • Advanced degree in Social Science or Human-Computer Interaction with an undergraduate in a technical field.
  • Demonstrated ability to impact and influence business decisions across boundaries, often in ambiguous situations.
  • Proven storytelling and communication skills across leadership, engineering teams, designers, customers, and partners.
  • Strong leadership skills to deliver projects and customer insights within and across product teams that resulted in robust product impact.
  • Ability to plan research against business needs.
  • Experience conducting research globally and working with global stakeholders.
  • Knowledge of client's customer privacy policies and tools.
  • Experience working with data governance or data catalog products is a plus.

Compensation:
The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on several factors, including but not limited to, a candidate's qualifications, skills, competencies, experience, location and end client requirements).

Benefits and Ancillaries:
Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.

Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions.