52 applicants

Company

Dechra · 4 hours ago

Business Translator – Data & Analytics - USA Remote

United States

Full-time

Remote

Mid Level

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BiotechnologyPharmaceutical

Culture & Values

Hiring Manager

Jennifer Orcholski, PHR

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Responsibilities

Identifying business challenges: Recognizing key business issues that can be addressed through data analysis and prioritizing them based on potential impact

Framing business questions: Clearly defining business problems in a way that can be translated into analytical questions for the data science team

Collaborating with data teams: Working closely with data scientists, engineers, and analysts to develop data models, algorithms, and reporting solutions that address the identified business needs

Data interpretation and communication: Translating technical data analysis results into clear, concise insights that are easily understood by non-technical stakeholders

Stakeholder management: Facilitating communication between technical teams and business leaders, managing expectations, and ensuring buy-in for data-driven decision making

Project management: Overseeing the analytics project lifecycle, including defining scope, timelines, and deliverables

You will work with domain business analysts and experts to understand the strategic needs of the business, identify & structure opportunities that can be solved through data & analytics and you will be able to translate the need into possible new use cases in both business and technical language

Your daily challenges include analyzing commercial and consumer data, elicit key information using document analysis, requirements, surveys, business process descriptions, use cases, scenarios, business analysis, task and workflow analysis

You will collaborate with architects, data & visualization engineers, Product Owners and subject matter experts/business analysts to establish the technical vision and evaluate tradeoffs between usability and performance requirements

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data AnalysisBusiness AcumenData-driven SolutionsProject ManagementData VisualizationStakeholder ManagementAgile MethodologiesDomain ExpertiseStatistical ConceptsAnalytics ToolsBilingual

Required

Recognizing key business issues that can be addressed through data analysis and prioritizing them based on potential impact

Clearly defining business problems in a way that can be translated into analytical questions for the data science team

Working closely with data scientists, engineers, and analysts to develop data models, algorithms, and reporting solutions that address the identified business needs

Translating technical data analysis results into clear, concise insights that are easily understood by non-technical stakeholders

Facilitating communication between technical teams and business leaders, managing expectations, and ensuring buy-in for data-driven decision making

Overseeing the analytics project lifecycle, including defining scope, timelines, and deliverables

Analyzing commercial and consumer data, elicit key information using document analysis, requirements, surveys, business process descriptions, use cases, scenarios, business analysis, task and workflow analysis

Collaborating with architects, data & visualization engineers, Product Owners and subject matter experts/business analysts to establish the technical vision and evaluate tradeoffs between usability and performance requirements

You understand both business language and technical and naturally act as a translation bridge between the two, i.e. explain technical concepts and building blocks of the product in business-friendly language and vice-versa

You have proven ability to form strong cross-functional relationships with varying business partners promoting a strong sense of 'we're all in it together'

You are enterprising, curious, persistent and strategic and have very good experience from previous analysis work, working with different analytics tools

You naturally leverage data and drive optimization; you have a strong analytical mind. You have experience in coordinating analytics and data science projects and teams

You are familiar with working in agile teams, have a sense of urgency, analyzing and adapting to different situations, quickly understanding changes and reacting confidently and decisively. Demonstrated ability to learn fast and a hunger for continual learning

Deep understanding of business operations, processes, and key performance indicators

Familiarity with data analysis methodologies, statistical concepts, and data visualization tools

Ability to plan, execute, and monitor analytics projects to ensure timely delivery

Identifying root causes of business issues and designing data-driven solutions

Knowledge of the healthcare industry and business domain relevant to the analytics project