Analytics Design Director

📍 Job Overview

Job Title: Analytics Design Director

Company: BI WORLDWIDE

Location: Edina, Minnesota, United States

Job Type: Full Time

Category: Data & Analytics / GTM Operations

Date Posted: August 20, 2026

Experience Level: 7+ Years

Remote Status: Hybrid

🚀 Role Summary

• This role is a critical individual contributor position within the Decision Sciences team, focusing on designing and delivering advanced analytics solutions.

• The Analytics Design Director will act as a subject matter expert, guiding clients through strategic business discussions and translating their needs into actionable analytic designs.

• Key to this role is the ability to identify and leverage data analytics opportunities to address complex client business issues and drive measurable outcomes.

• Success will be measured by the ability to effectively communicate complex solution designs to diverse stakeholders, including clients, account teams, and data analysts, ensuring alignment and successful implementation.

📝 Enhancement Note: This role bridges the gap between client business strategy and data science execution. While not a direct Revenue Operations or Sales Operations role, it is crucial for GTM success by enabling data-informed decision-making and strategy refinement through advanced analytics. The emphasis on consulting and client interaction positions it within the broader GTM Operations ecosystem.

📈 Primary Responsibilities

• Conduct comprehensive discovery meetings with clients and internal Account Teams to deeply understand their business challenges, strategic objectives, and current data landscapes.

• Proactively identify and articulate opportunities where data analytics, statistical modeling, and insights can directly support customer success and drive business growth.

• Design and develop compelling proposals for analytic solutions, employing appropriate methodologies that precisely align with identified client needs and business goals.

• Clearly and persuasively communicate complex solution designs, analytic approaches, and expected outcomes to clients, internal stakeholders, and the data analyst team.

• Oversee and guide the implementation of Decision Sciences products and services, ensuring they are effectively tailored and deployed to meet specific client requirements and deliver tangible value.

• Serve as a trusted advisor to clients, building personal credibility through demonstrated expertise in analytics and a strong understanding of their business context.

• Translate client business issues into well-defined analytical problems and design robust data modeling projects to generate actionable insights.

• Apply practical knowledge of analytical modeling techniques and statistical principles to solve real-world business problems.

• Demonstrate strong business acumen by connecting analytical findings to client business objectives and recommending strategic actions.

• Develop and write persuasive proposals that clearly articulate the value proposition and technical approach of proposed analytic solutions.

📝 Enhancement Note: The responsibilities highlight a strong consultative approach, requiring the ability to not only analyze data but also to understand business strategy and communicate complex solutions effectively. This aligns with the GTM operations need for bridging technical capabilities with business impact.

🎓 Skills & Qualifications

Education:

• Bachelor's Degree in Data Science, Mathematics, Statistics, or a closely related quantitative field.

• Master's Degree in Data Science, Mathematics, Statistics, or a related quantitative field is strongly preferred. Experience:

• Minimum of 7+ years of progressive experience in conducting Analytics, Statistical Modeling, and/or Insights projects.

• A minimum of 3+ years of direct experience in consulting with external clients, specifically in designing and delivering analytic solutions to address their business issues. Required Skills:

• Data Science & Statistical Modeling: Proven expertise in designing and conducting data analysis, statistical modeling, and data modeling projects. Practical knowledge of various analytical modeling techniques and statistical principles.

• Consulting & Client Management: Demonstrated consulting skills with a strong ability to build personal credibility and foster trusted relationships with clients. Experience in leading discovery sessions and translating client needs into technical requirements.

• Business Acumen & Strategy: Ability to understand client business issues and apply analytical insights to inform and influence business strategy.

• Communication & Presentation: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts and solution designs clearly and persuasively to both technical and non-technical audiences.

• Proposal Development: Proven experience in writing compelling proposals that clearly define project scope, methodologies, and expected business value.

• Analytical Methodologies: Expertise in identifying and applying appropriate analytical methodologies to solve business problems.

• Customer-Driven Attitude: A genuine commitment to understanding and addressing customer needs, demonstrating empathy and a proactive approach.

Preferred Skills:

• Experience with specific analytics platforms or programming languages commonly used in advanced analytics (e.g., Python, R, SQL, BI tools).

• Familiarity with customer loyalty programs, employee engagement strategies, or marketing analytics, given BI WORLDWIDE's industry.

• Experience in a client-facing role within a consulting firm or a specialized analytics department.

📝 Enhancement Note: The emphasis on a Master's degree and 7+ years of experience indicates this is a senior individual contributor role, requiring deep technical expertise combined with strong business consulting capabilities. The preferred skills suggest an advantage for candidates with industry-specific experience, which is common for roles that directly impact client strategy.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies: A portfolio showcasing at least 2-3 detailed case studies of analytic solutions designed and implemented for clients. Each case study should clearly outline the client's business problem, the analytical approach taken, the methodologies used, and the quantifiable business outcomes achieved (e.g., ROI, efficiency gains, increased engagement).

• Solution Design Documentation: Examples of how complex analytic solutions were designed and documented, including diagrams, flowcharts, or technical specifications that clearly communicate the architecture and logic to technical teams.

• Proposal Examples: Demonstrations of compelling proposals written for analytic projects, highlighting the ability to articulate value, scope, and methodology for prospective clients.

• Data Visualization & Reporting: Examples of how data insights were translated into clear, actionable visualizations or reports for business stakeholders, demonstrating the ability to bridge technical analysis with business understanding.

Process Documentation:

• Discovery & Requirements Gathering: Evidence of processes used to conduct client discovery meetings, elicit business requirements, and translate them into analytical project briefs.

• Methodology Selection & Application: Documentation illustrating the process for selecting and applying appropriate analytical modeling techniques and statistical methods based on client objectives.

• Solution Communication & Stakeholder Alignment: Examples of processes and materials used to communicate solution designs, progress, and results effectively to diverse stakeholder groups, ensuring alignment and buy-in.

📝 Enhancement Note: For a role focused on designing analytic solutions, a portfolio is crucial. It should demonstrate not just technical proficiency but also the ability to translate business needs into analytical frameworks and communicate complex ideas effectively. This is a common expectation for senior analytics and consulting roles.

💵 Compensation & Benefits

Salary Range: $125,000.00 - $140,000.00 USD Annually

Benefits:

• Comprehensive Health Insurance: Medical, dental, and vision coverage options.

• Retirement Savings Plan: 401(k) with company match to support long-term financial planning.

• Paid Time Off: Generous vacation, sick leave, and holidays to promote work-life balance.

• Professional Development: Opportunities for continued learning, training, and career advancement.

• Hybrid Work Model: Flexibility with 3 days in the office and 2 days working from home, promoting a balanced work environment.

• Employee Assistance Program (EAP): Support services for personal and professional well-being.

• Life and Disability Insurance: Financial protection for employees and their families.

• Potential for Bonuses: Performance-based incentives may be available.

Working Hours:

• Standard full-time work hours, typically around 40 hours per week. The hybrid model offers some flexibility in how these hours are structured, with an expectation of 3 days in the Edina, MN office.

📝 Enhancement Note: The salary range provided is specific to the role and location. The benefits listed are typical for a full-time position in the US and are enhanced by the hybrid work model. The salary estimate was derived directly from the provided input.

🎯 Team & Company Context

🏢 Company Culture

Industry: Business Services / Marketing Technology / Employee Engagement & Loyalty Programs. BI WORLDWIDE operates in a unique space, focusing on driving engagement and performance through recognition, rewards, and incentive programs, often leveraging technology and data analytics.

Company Size: BI WORLDWIDE is a significant player in its niche, likely employing several hundred to over a thousand employees globally, indicating a stable and established organization with structured processes.

Founded: BI WORLDWIDE was founded in 1970. This long history suggests a company with deep industry expertise, established client relationships, and a commitment to long-term success and innovation.

Team Structure:

• Decision Sciences Team: This team likely consists of data scientists, analysts, and statisticians focused on extracting insights and building analytical models. The Analytics Design Director will be a senior individual contributor within this team.

• Reporting Structure: The role reports into a Director or VP level within Decision Sciences or a related analytics function, likely working closely with client-facing Account Management teams.

• Cross-functional Collaboration: The role requires extensive collaboration with Account Management, Sales, Client Services, and the internal Data Analyst team to ensure solutions are strategically aligned and effectively implemented.

Methodology:

• Data-Driven Insights: The company emphasizes using data to understand and influence behavior, driving engagement and performance for their clients.

• Customer-Centric Design: A core philosophy is designing solutions that meet specific client business needs and deliver measurable results.

• Hybrid Work Environment: The company embraces a hybrid work model, fostering a balance between in-office collaboration and remote flexibility.

• Focus on Belongingness & D&I: BI WORLDWIDE actively promotes diversity, inclusion, and a culture of belongingness, which influences team dynamics and employee experience.

Company Website: https://www.biworldwide.com/

📝 Enhancement Note: BI WORLDWIDE's focus on engagement and loyalty programs means that analytics in this context often involves understanding customer behavior, measuring program effectiveness, and predicting future trends. The company's long history and emphasis on D&I suggest a culture that values experience, stability, and inclusive practices.

📈 Career & Growth Analysis

Operations Career Level: This is a senior individual contributor role, positioned as an "Analytics Design Director." It signifies a high level of expertise and responsibility within the analytics domain, often seen as a subject matter expert (SME) or lead technical advisor. It's a critical role for translating business needs into advanced analytic solutions, impacting client strategy and GTM effectiveness.

Reporting Structure: The Analytics Design Director will likely report to a Director or VP of Decision Sciences or a similar senior leadership role within the analytics or strategy function. They will work closely with client-facing teams such as Account Management and Sales.

Operations Impact: The impact of this role is significant, as it directly influences the strategic direction and effectiveness of client programs. By designing data-driven solutions, the Analytics Design Director helps clients optimize their engagement strategies, improve ROI, and achieve their business objectives. This role is instrumental in demonstrating the value of BI WORLDWIDE's services through robust analytics.

Growth Opportunities:

• Technical Specialization: Deepen expertise in advanced statistical modeling, machine learning, or specific analytics platforms, potentially becoming a go-to expert in a niche area.

• Leadership Tracks: Transition into management roles, leading a team of analysts or data scientists, or move into broader strategic consulting roles within the company.

• Client Relationship Management: Develop stronger client advisory skills, potentially moving into senior client executive roles focused on strategic partnerships.

• Industry Expertise: Become a recognized expert in analytics for employee engagement, loyalty programs, or customer experience, contributing to thought leadership.

📝 Enhancement Note: The "Director" title in this context for an individual contributor role suggests a level of influence and expertise comparable to a manager. Growth paths are likely to involve deepening technical specialization or moving into strategic client advisory or team leadership roles.

🌐 Work Environment

Office Type: BI WORLDWIDE operates a hybrid work model, with 3 days required in their Minneapolis Metro headquarters located in Edina, Minnesota. This suggests a professional office setting designed to facilitate collaboration and in-person interaction.

Office Location(s): The primary office for this role is 7540 Bush Lake Rd., Edina, Minnesota, 55439. Edina is a suburban city within the Minneapolis-St. Paul metropolitan area, offering accessibility and a developed business community.

Workspace Context:

• Collaborative Spaces: The office environment likely includes meeting rooms, project spaces, and open areas conducive to team discussions, client presentations, and brainstorming sessions.

• Technology & Tools: Employees will have access to necessary office technology, high-speed internet, and potentially dedicated workstations or IT support for analytics software and platforms.

• Team Interaction: The hybrid model encourages in-office days for focused collaboration, team building, and direct interaction with colleagues in Decision Sciences and other departments.

Work Schedule: A standard full-time schedule, approximately 40 hours per week, with the flexibility to structure work across 3 in-office days and 2 remote days. This allows for dedicated time for deep analytical work at home and collaborative efforts in the office.

📝 Enhancement Note: The hybrid model is a key feature, indicating a modern workplace culture that values both in-person collaboration and individual focus. The Edina location places it within a strong business hub in Minnesota.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess foundational qualifications, experience, and the relevance of your past projects.

• Hiring Manager Interview: A discussion with the hiring manager to delve into your experience with statistical modeling, client consulting, and solution design. You'll likely be asked to walk through specific case studies from your portfolio.

• Team/Peer Interviews: Meetings with other members of the Decision Sciences team and potentially key stakeholders from client-facing departments. These interviews will assess your technical depth, collaborative style, and ability to articulate complex ideas.

• Presentation/Case Study: You may be asked to prepare and present a case study from your portfolio or tackle a hypothetical business problem, demonstrating your design and communication skills.

• Final Interview: Potentially with senior leadership to discuss strategic alignment, cultural fit, and overall impact.

Portfolio Review Tips:

• Quantify Impact: For each case study, clearly articulate the business problem, your specific role and contribution, the analytical methodology used, and most importantly, the quantifiable results or ROI achieved.

• Showcase Design Process: Detail your approach to understanding client needs, translating them into analytical frameworks, and designing the solution. Highlight your problem-solving methodology.

• Tailor to BI WORLDWIDE: Research BI WORLDWIDE's services and client base. Select portfolio examples that best demonstrate your ability to solve problems relevant to their industry (e.g., engagement, loyalty, performance).

• Clarity and Conciseness: Ensure your portfolio is well-organized, easy to navigate, and that your explanations are clear and concise, avoiding excessive jargon where possible.

• Visual Appeal: Use clear visualizations and professional formatting to present your work effectively.

Challenge Preparation:

• Hypothetical Scenario: If given a case study, focus on understanding the core business objective. Outline a structured approach: define the problem, identify key data needs, propose analytical methods, and describe how you'd communicate findings.

• Consulting Skills: Be prepared to discuss how you build rapport with clients, handle challenging questions, and manage expectations.

• Technical Depth: Refresh your knowledge of common statistical techniques and data modeling approaches. Be ready to discuss the pros and cons of different methods.

📝 Enhancement Note: The emphasis on a portfolio and case studies is critical for this role. Interviewers will be looking for evidence of not just analytical skill but also the ability to apply it strategically to business problems and communicate effectively.

🛠 Tools & Technology Stack

Primary Tools:

• Analytics & Statistical Software: Proficiency in statistical programming languages and environments such as R or Python is essential. Experience with statistical packages like SAS or SPSS may also be relevant.

• Data Visualization Tools: Experience with tools like Tableau, Power BI, Qlik Sense, or similar platforms for creating dashboards and reports to communicate insights effectively.

• Database Querying: Strong SQL skills for data extraction, manipulation, and analysis from relational databases.

• Cloud Platforms: Familiarity with cloud-based data warehousing and analytics services (e.g., AWS, Azure, Google Cloud Platform) is increasingly valuable.

Analytics & Reporting:

• Business Intelligence Platforms: Tools for creating interactive dashboards and reports to monitor key performance indicators (KPIs) and program effectiveness.

• Data Warehousing Concepts: Understanding of how data is stored and accessed for analysis.

CRM & Automation:

• While not a direct CRM or automation role, understanding how analytics integrate with CRM systems (e.g., Salesforce) and marketing automation platforms to influence customer journeys and campaign effectiveness would be beneficial.

📝 Enhancement Note: This role requires a strong foundation in data analysis tools and methodologies. While specific tool requirements aren't detailed, proficiency in common statistical programming languages, SQL, and visualization tools is a given for a senior analytics role.

👥 Team Culture & Values

Operations Values:

• Customer Focus: A deep commitment to understanding and exceeding client expectations through data-driven solutions and excellent service.

• Data Integrity & Accuracy: Upholding the highest standards for data quality, analytical rigor, and ethical data handling.

• Collaboration & Teamwork: Fostering an environment where diverse perspectives are valued, and team members work together effectively to achieve common goals.

• Innovation & Continuous Improvement: Encouraging the exploration of new analytical techniques, technologies, and methodologies to drive better outcomes.

• Authenticity & Respect: Promoting an inclusive workplace where individuals feel safe to be themselves and are treated with respect.

Collaboration Style:

• Cross-Functional Partnership: Actively engaging with Account Management, Sales, and Client Services to ensure analytic solutions are aligned with business objectives and client needs.

• Knowledge Sharing: Willingness to share expertise, mentor junior team members, and contribute to the collective knowledge base of the Decision Sciences team.

• Constructive Feedback: Participating in a culture that encourages open feedback and continuous learning from both successes and challenges.

📝 Enhancement Note: BI WORLDWIDE's stated values of "belongingness," "D&I," and "authenticity" suggest a culture that prioritizes employee well-being and inclusive practices. The emphasis on customer focus and data integrity is paramount for an analytics-driven organization.

⚡ Challenges & Growth Opportunities

Challenges:

• Translating Business Needs: Effectively bridging the gap between complex client business challenges and the technical requirements of analytical solutions.

• Data Complexity & Availability: Working with potentially diverse and sometimes incomplete datasets, requiring strong data wrangling and problem-solving skills.

• Communicating Complex Insights: Simplifying and clearly communicating sophisticated analytical findings and their business implications to non-technical stakeholders.

• Demonstrating ROI: Clearly linking the designed analytic solutions to tangible business outcomes and ROI for clients in a competitive market.

Learning & Development Opportunities:

• Advanced Analytics Training: Opportunities to deepen expertise in emerging areas like machine learning, AI, predictive modeling, and advanced statistical techniques.

• Industry Conferences & Certifications: Support for attending industry events and obtaining relevant certifications to stay current with analytics best practices.

• Mentorship Programs: Access to senior leaders and experienced professionals for guidance on career development and technical challenges.

• Exposure to Diverse Clients & Industries: Working with a variety of clients and business scenarios to broaden analytical experience and strategic thinking.

📝 Enhancement Note: This role presents a significant opportunity for growth by tackling complex client challenges and leveraging cutting-edge analytics. The company's commitment to D&I and professional development suggests a supportive environment for learning and advancement.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used data analytics to solve a complex business problem for a client. What was the problem, your approach, and the outcome?" (Focus on your process, methodology, and quantifiable results).

• "How do you approach understanding a client's business needs before designing an analytic solution?" (Highlight your discovery and requirements gathering process).

• "Walk me through a proposal you've written for an analytics project. What were the key components, and how did you tailor it to the client?" (Demonstrate your proposal writing and value articulation skills).

• "How do you ensure your analytical solutions are actionable and drive business impact for clients?" (Emphasize your focus on business acumen and ROI). Company & Culture Questions:

• "What do you know about BI WORLDWIDE and our focus on engagement and loyalty?" (Research their website, case studies, and industry).

• "How do you contribute to a culture of diversity and inclusion in a team setting?" (Align your responses with their stated values).

• "Describe your experience working in a hybrid environment. How do you maintain productivity and collaboration?" (Address your adaptability to their work model). Portfolio Presentation Strategy:

• Storytelling: For each case study, craft a narrative: set the scene (client problem), introduce the hero (your analytical approach), detail the conflict (challenges/complexity), and celebrate the victory (quantifiable results).

• Focus on "Why": Explain the strategic reasoning behind your methodological choices and how they directly addressed the client's specific business objectives.

• Visual Aids: Use clear slides or screen sharing to present data visualizations, model outputs, and key findings. Keep it concise and impactful.

• Q&A Readiness: Anticipate questions about your methodology, data limitations, alternative approaches, and the scalability of your solutions.

📝 Enhancement Note: Interview preparation should focus on demonstrating not only technical proficiency but also strong consulting skills, business acumen, and the ability to communicate complex ideas effectively. Your portfolio is your primary tool for showcasing these capabilities.

📌 Application Steps

To apply for this Analytics Design Director position:

• Submit your application through the BI WORLDWIDE careers portal at https://myjobs.adp.com/biworldwide/cx/job-listing.

• Curate Your Portfolio: Select 2-3 of your most impactful case studies that best demonstrate your ability to design and deliver data analytics solutions for business challenges, similar to those BI WORLDWIDE addresses. Quantify the ROI and business impact clearly.

• Tailor Your Resume: Highlight your experience in statistical modeling, client consulting, proposal writing, and business strategy. Use keywords from the job description and ensure your achievements are quantifiable.

• Prepare Your Presentation: Practice walking through your selected case studies, focusing on clear communication of the problem, your analytical approach, and the business outcomes. Be ready to discuss your design process and methodology.

• Research BI WORLDWIDE: Understand their core business (engagement, loyalty, recognition), their client base, and their stated values (D&I, belongingness). Prepare to discuss how your skills and experience align with their mission.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.