Quantitative UX Research Lead

1 week ago


India Tri-Force Consulting Services, Inc. Full time
Job Description

Name of position:
Quantitative UX Research Lead

Location:
Brooklyn NY

job description
The Quantitative UX Research Lead is a strategic leader who advocates for user-driven and
data-based digital experiences for New Yorkers.
This position will report to the Chief Digital Strategy Officer to improve the digital experience
for New Yorkers. The Quantitative UX Research Lead aims to understand user actions and
behaviors, needs and motivations.

This role will provide the team actionable insights through various research rigorous methods to inform product decisions and create user-centered products and services.


TASKS:

  • Understand challenges that New Yorkers experience through qualitative and quantitative user research to help define opportunities where the City of New York can meet those needs by generating hypotheses, prototypes and running experiments
  • Develop and execute a User Experience Research toolkit that defines the best testing methodologies for different product phases (discovery, definition, testing and monitoring)
  • Plan, gather, and analyze, data-based insights through survey design, usability testing, experimentation and A/B and multivariate testing
  • Compile finished, well-documented and eloquent research findings to deliver meaningful and actionable insights for stakeholders
  • Own UX research and run multiple streams of work at one time
MANDATORY SKILLS/EXPERIENCE

  • Proven experience in quantitative user experience research, with a strong portfolio of successful projects including survey design, competitive analysis, heuristic reviews, user interviews, field studies, usability testing, experimentation, A/B testing
  • Experience with analyzing and presenting behavioral data from Google Analytics as well as user testing data from and A/B testing tools
  • Strong understanding of the strengths and shortcomings of different research methods, including when and how to apply them during each product phase.
  • Detail-oriented with a focus on data accuracy and analyzing results with statistically sound methodologies
  • Ability to translate complex data into actionable insights and concrete recommendations to improve the user experience.
  • Experience unbiased recruiting users that align with required demographic and behavioral profiles
  • Nurture a culture of exploring creative solutions that prioritize the best digital experience for New Yorkers that is informed by strategy, data, analytics and competitive research
  • Inspire City partners and colleagues to anchor their work in human-centered design, data-driven research methodologies and evidence-based solutioning
  • Have been the first quantitative researcher on a team or at an organization in the past

DESIRABLE SKILLS/EXPERIENCE:

  • Bachelors degree in elevant field (e.g., Human-Computer Interaction, Psychology, Data Science, Statistics)
  • 10+ years of experience conducting quantitative user research through all product
design phases

  • Strong analytical skills with ability to interpret and identify valid patterns and trends
  • Understanding of statistical principles to evaluate data
Expertise and use of methodologies that prevent research pitfalls:
o Over generalizing results
o Biased methodology or conclusions
o Correlation does not imply causation
o Not considering other related factors
o Not understanding or validating data sources

  • Experience working in cross-disciplinary teams of product, engineer and data experts
to deliver products and services that improve user's experience and organizational goals, on time

  • Expertise in driving user research from planning to conducting research with users
with an extensive knowledge of research methodologies

  • Strong communication skills with the ability to articulate design concepts and strategies in plain language to partners and cross functional team
  • Exemplifies diversity, equity and inclusion work in design practice and past projects

If you are:

bright, motivated, skilled, a difference-maker, able to get things done, work with minimum direction, enthusiastic, a thinker, able to juggle and multi-task, communicate effectively, and lead, then we would like to hear from you.

We need exceptionally capable people for this role for our client, so get back to us and tell us why you think you are a fit.

About Us:

Tri-Force is one of the fastest growing companies in Philadelphia region by receiving the award 5 times and 3 times(Ranked # on Inc. 5000 fastest growing companies in the USA. Tri-Force Consulting Services, Inc. is an established consulting services firm offering innovative solutions to Government and Commercial sectors.

We specialize in building customized software applications solutions such as knowledge management systems, business intelligence, data analysis, database support and maintenance, data warehouse implementation and support, systems architecture and systems integration for our clients.

Our technical competencies are in Java, .NET, SharePoint, PHP, Business Intelligence (Cognos, Data Warehouse), mobile applications platforms (iPhone, iPad, Android, Blackberry), and various other technologies.

We also specialize in providing resources to manage infrastructure projects.

Tri-Force is one of the fastest growing companies in Philadelphia region by receiving the award 5 times and 2 times on Inc.

5000 fastest growing companies in the USA.
Requirements

Requirements Gathering Collaborates with the business and with data analysts to understand requirements and business objectives for relevant reports & visualizations as well as underlying data model.

Capable of identifying relevant data sources and attributes for use in model Data Modeling:
Designing and documenting efficient conceptual, logical, and physical data models to support business requirements. Understands how to deliver row and column-level security within the Power BI semantic model. Needs to be able to establish re-usable semantic data models within Power BI. Familiarity with running tabular Editor Best Practice Analyzer for adhering to modeling and DAX best practices. Creating relationships between tables and optimizing data structures.

Data Source Connectivity Setup:

Connecting to various data sources (APIs, Big Query, ArcGIS map and feature layers, SQL databases, Excel files, etc.) including streaming datasets.

Ensuring seamless data extraction and transformation. Collaborating with the members of OIT Integrations team to ascertain available integration patterns.

DAX Formulas:
Proficiency in writing DAX (Data Analysis Expressions) formulas. Calculated columns, measures, and custom calculations.

Report Creation:
Designing and developing interactive and visually appealing reports and dashboards. Incorporating slicers, visuals, and drill-through functionality, including streaming and ArcGIS visuals. Needs to be cognizant of and adhere to accessibility standards (section 508).

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