Accessibility Lead Accessibility Lead

Join us to elevate your career in data analytics and accessibility solutions.

As an Accessibility Lead within the Digital Accessibility team , you will analyze data to create insights, analytical solutions, and customized models that answer critical business questions. You will translate business questions into analysis tasks, collaborate with internal subject matter experts (SMEs), build customized analytics solutions, and communicate customized results. You will participate in the design and delivery solutions (e. g. , analytics dashboards, visualization schemes, etc. ).

Job responsibilities

• Understand data life cycle, collaborate with cross-functional teams to leverage a suite of tools and build analytical solutions.
• Capture and understand end-user requirements, translate into customized analytical solutions, communicate insights via reports, dashboards, visualization, etc.
• Create and deploy workflows for repeatable, scalable, and automated solutions.
• Build data analytics pipelines, including quality checks, exploratory analysis, and collaborate with technology teams in production deployment.
• Develop, use, and implement innovative analytical workflows, identify best fit data insight tools including advanced analytics and data science models, such as LLMs, etc.
• Project manage the design, build, and delivery of new analytical solutions.
• Articulate complex issues in easy to understand ways.

Required qualifications, capabilities, and skills

• Hands-on experience in at least two of the following Statistical software or coding languages (e. g. , Python, R, SAS), Data analytics and visualization tools (e. g. , Tableau, PowerBI, Qlik), Statistical or quantitative analysis (e. g. , multiple regression, multivariate analysis, network analysis, AI-ML concepts and techniques).
• Advanced excel skills (e. g. , pivot tables, VLOOKUP, Analysis ToolPak, macros/VBA).
• Data wrangling, workflows, and automation (e. g. , SQL, Alteryx, Business Objects, etc. ).
• Versatile in learning and picking up different software, tools, methodologies, or coding languages.
• Demonstrated ability to create custom solutions that solve business problems.
• Demonstrated experience in presenting reports, insights, and data analytics findings.

Preferred qualifications, capabilities, and skills

• Experience with Natural Language Processing (NLP) algorithms, tools, customer/employee survey analyses, segment analysis and pattern detection, etc.
• Willingness to learn new areas of focus - especially support functions, compliance, controls, etc. , as relates to Accessibility matters.
• Familiarity with project management and cloud computing approaches, such as AWS, Azure, etc.

Join us to elevate your career in data analytics and accessibility solutions.

As an Accessibility Lead within the Digital Accessibility team , you will analyze data to create insights, analytical solutions, and customized models that answer critical business questions. You will translate business questions into analysis tasks, collaborate with internal subject matter experts (SMEs), build customized analytics solutions, and communicate customized results. You will participate in the design and delivery solutions (e. g. , analytics dashboards, visualization schemes, etc. ).

Job responsibilities

• Understand data life cycle, collaborate with cross-functional teams to leverage a suite of tools and build analytical solutions.
• Capture and understand end-user requirements, translate into customized analytical solutions, communicate insights via reports, dashboards, visualization, etc.
• Create and deploy workflows for repeatable, scalable, and automated solutions.
• Build data analytics pipelines, including quality checks, exploratory analysis, and collaborate with technology teams in production deployment.
• Develop, use, and implement innovative analytical workflows, identify best fit data insight tools including advanced analytics and data science models, such as LLMs, etc.
• Project manage the design, build, and delivery of new analytical solutions.
• Articulate complex issues in easy to understand ways.

Required qualifications, capabilities, and skills

• Hands-on experience in at least two of the following Statistical software or coding languages (e. g. , Python, R, SAS), Data analytics and visualization tools (e. g. , Tableau, PowerBI, Qlik), Statistical or quantitative analysis (e. g. , multiple regression, multivariate analysis, network analysis, AI-ML concepts and techniques).
• Advanced excel skills (e. g. , pivot tables, VLOOKUP, Analysis ToolPak, macros/VBA).
• Data wrangling, workflows, and automation (e. g. , SQL, Alteryx, Business Objects, etc. ).
• Versatile in learning and picking up different software, tools, methodologies, or coding languages.
• Demonstrated ability to create custom solutions that solve business problems.
• Demonstrated experience in presenting reports, insights, and data analytics findings.

Preferred qualifications, capabilities, and skills

• Experience with Natural Language Processing (NLP) algorithms, tools, customer/employee survey analyses, segment analysis and pattern detection, etc.
• Willingness to learn new areas of focus - especially support functions, compliance, controls, etc. , as relates to Accessibility matters.
• Familiarity with project management and cloud computing approaches, such as AWS, Azure, etc.