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Business Analytics Liaison
3 months ago
Overview
POSITION OBJECTIVE
This role presents a unique opportunity to influence and innovate within the organization; we seek dynamic and enthusiastic individuals who excel in problem-solving and are eager to challenge conventional approaches to discover novel solutions.
An Analytics Liaison serves as a crucial link between organizational objectives and the potential of advanced analytics; leveraging their inquisitiveness, narrative skills, and industry expertise to clarify the rationale and implications of the solutions we develop. This position connects technical proficiency with business acumen in the creation and implementation of scalable, sustainable digital initiatives that harness the value inherent in our data and workforce.
By combining extensive business insight with a robust understanding of advanced analytics capabilities, Analytics Liaisons are vital in ensuring that the digital solutions we create are both adoptable and impactful. The Liaison will guarantee that strategic business goals directly inform and shape analytical use cases, while also ensuring that the complexities of advanced algorithms are communicated effectively to non-technical stakeholders, making the value clear and comprehensible. The ideal candidate will collaborate with stakeholders across various departments, including Business, IT, and Digital, to design successful, well-defined data-driven products and services.
This position is integral to the company's vision as we strive to cultivate a genuinely Data-Driven Culture and advance our Digital Transformation initiatives.
SCOPE OF WORK
• Global Reach
• Analytics Liaisons engage with all major Digital initiatives – Advanced Analytics, Asset Digitization, and Customer Solutions
PRIMARY RESPONSIBILITIES
Collaborate with stakeholders and subject matter experts to identify and prioritize opportunities:
• Partner with Product leaders to define the comprehensive product strategy and assess business value, maintaining alignment on priorities and daily decision-making.
• Utilize diverse domain knowledge to facilitate discussions throughout the project lifecycle with key stakeholders and experts to pinpoint where advanced analytics can address significant business challenges.
• Formulate a series of insightful, action-oriented inquiries that focus on the problem at hand, its impact, and the necessity for resolution.
Foster a shared understanding by simplifying complex concepts:
• Collaborate with all key contributors to enhance mutual understanding throughout the solution development process.
• Integrate diverse perspectives, values, needs, and constraints to align expectations, leverage collective expertise, and ensure our products and technologies meet business objectives and deliver targeted value.
Define and document data and analytical requirements to guide the development of scalable, sustainable solutions:
• Employ various techniques, including interviews, surveys, workshops, and observations, to effectively translate business needs into data and analytical specifications that will inform product roadmaps and decision-making processes.
• Work collaboratively with all contributors throughout the product development journey to ensure that requirements are clear, actionable, and adaptable throughout the development lifecycle.
• Acquire a comprehensive understanding of the technical solutions being developed to foster collaboration and a focus on delivering value.
Convert insights into clear, actionable recommendations:
• Ensure that insights and recommendations derived from complex analytics are interpretable and actionable, tailoring guidance to meet the needs of various audiences in ways that promote data-driven decision-making and enhance solution adoption.
• Distill complex analytics-derived insights into straightforward, actionable recommendations that business users can readily implement.
Cultivate and enhance translation capabilities across the organization:
• Showcase how the skills and practices of translation are essential in collaboratively developing successful, data-driven products that yield people-centered benefits.
PERFORMANCE METRICS
• Impact metrics (evaluating the value delivered across different functional and regional objectives)
• Scalability (assessing the reach of solutions across users, functions, and geographies)
• Agility (measuring the speed to minimum viable product and evaluating the iterative processes employed)
KEY CONTACTS
Internal:
• Business stakeholders and subject matter experts from all functions
• Cross-functional Digital teams and stakeholders, including Product Leads, Delivery Leads, Change Leads, Data Analysts, Data Scientists, UX Designers, Architects, Developers, and Engineers.
• Key Digital functions, including PMO, Data Governance, and Communications
• Digital Leadership team
• Global IT Partners
External:
• Data Analytics Vendors and Partners
• Customers engaged in Data Analytics co-creation initiatives
QUALIFICATIONS
• BA or BS preferred or relevant industry experience
Desired:
• MBA or other advanced degrees preferred
• Technical degrees in computer science, software engineering, or mathematics are advantageous
EXPERIENCE
• Proven ability to lead and facilitate others, with a track record of coordinating complex activities with minimal supervision
• Experience in clearly communicating complex technical concepts
• Prior experience in presenting technical solutions in an understandable manner to non-technical stakeholders and senior management
• Experience in implementing solutions and driving adoption among business users
• Prior experience in data science, software development, or business translation roles is a plus
• Familiarity with project management and development methodologies such as Agile, Scrum, or Design Thinking
SKILLS AND KNOWLEDGE
Key Translation Competencies:
Business Analysis - Analytics Translation encompasses essential business analysis skills, employing effective communication, critical thinking, and problem-solving to assess business challenges, create clear requirements, evaluate potential solutions, and align key contributors throughout delivery opportunities.
Storytelling - Develop compelling data-driven narratives that convey complex ideas in straightforward, tailored formats to inform and influence stakeholders. Utilize effective storytelling through visual, written, and interpersonal means to clearly communicate the context and details that allow the value and significance of each initiative to be understood by all involved.
Curiosity - Exhibit creativity and innovation through research and timely inquiries that illuminate needs, foster relationships, and drive continuous improvement. Explore the possibilities within a given context to fully understand and articulate the challenges and opportunities we encounter.
Empathy - Actively seek to understand and respect diverse perspectives; employ active listening to identify relevant, people-centered challenges and comprehend the needs and concerns of our customers to deliver solutions that effectively address them.
Creative Problem Solving - Engage in creative and critical thinking to generate original ideas and innovative solutions, utilizing sound reasoning to analyze issues, synthesize information, make decisions, and resolve problems. Focus on enabling collaboration across various disciplines to foster innovation in generating potential solutions and assessing the best fit for the challenges at hand.
Data Journalism - Craft data-savvy narratives that provide an accessible overview of each product journey, capturing key elements, decisions, and trade-offs and their implications, offering insight and bridging the gap between analytics outputs and the audiences who rely on them for decision-making. Incorporate tools, techniques, and approaches to data analysis and storytelling to bring clarity, structure, and transparency to the product development process and the presentation of key insights.
Agile Methodologies - Embrace an agile mindset and commitment to adopting methodologies; actively seek and model opportunities to work collaboratively, flexibly, and adaptively to deliver customer value. Understand, collaborate, learn, and remain adaptable to achieve high-performing results, combining an agile mindset with tools and methodologies to drive change and deliver incremental value.
Business Acumen - Possess business literacy and acumen to effectively identify and frame viable, valuable business challenges, and to articulate risks and opportunities throughout the development process.
Key Translation Knowledge:
Data Technology / Software Development - Understand the elements of data management, particularly the significance of data quality and security, and demonstrate the ability to manage interdependencies to maximize team productivity.
Analytical & Modeling Methods - Familiarity with a wide range of algorithm categories across descriptive, predictive, and prescriptive analytics to ensure that solutions utilize the most efficient and interpretable methods for business users.
Organizational Awareness - Comprehend our organizational structure, effectively navigate processes, and demonstrate awareness of key areas of data and digital transformation technologies relevant to corporate objectives.
Teamwork - Advocate for a collaborative culture characterized by transparency, safety, and trust, and recognize the opportunities and challenges presented by cross-functional teams. Understand the necessity of trust-based relationships to foster a collaborative working environment and maximize cross-functional synergies.
PREFERRED EDUCATION
Technical/Professional QualificationPREFERRED LEVEL OF WORK EXPERIENCE
1 - 3 yearsREMOTE TYPE
Hybrid RemoteBrambles is committed to fostering workplace diversity and provides accommodations to applicants with disabilities throughout our hiring process. We are an Equal Opportunity Employer, dedicated to developing a diverse workforce where everyone is treated fairly and has the opportunity to contribute to business success while realizing their potential.
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