Dechra · 11 hours ago
Business Translator – Data & Analytics - USA Remote
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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
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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
Company
Dechra
Dechra is an international specialist veterinary pharmaceuticals and related products business.
Funding
Current Stage
Public CompanyTotal Funding
unknown2023-06-02Acquired
2000-01-01IPO
Leadership Team
Recent News
2024-12-07
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