Analytics Design Director

📍 Job Overview

Job Title: Analytics Design Director Company: BI WORLDWIDE Location: Edina, Minnesota, United States Job Type: Full Time Category: Analytics & Data Science / Consulting Date Posted: 2026-02-20 Experience Level: 7+ Years (with 3+ years in client consulting) Remote Status: Hybrid (3 days in-office, 2 days remote)

🚀 Role Summary

• This individual contributor role focuses on leveraging deep analytics expertise to guide clients through complex business challenges and design data-driven solutions.
• Key responsibilities involve client discovery, opportunity identification through data analytics, and the development of compelling analytic proposals.
• The position demands translating client business needs into actionable analytic strategies and effectively communicating these solutions to diverse stakeholders.
• Success in this role requires a blend of technical acumen in analytics and statistical modeling, coupled with strong consulting and communication skills to influence client decisions.

📝 Enhancement Note: While the title is "Analytics Design Director," the description emphasizes an individual contributor role focused on the design and strategic application of analytics, rather than people management. This aligns with senior-level individual contributor or principal consultant tracks within operations and analytics functions. The "Director" title likely signifies seniority and strategic influence.

📈 Primary Responsibilities

• Conduct discovery meetings and client workshops to deeply understand business challenges, objectives, and current analytic capabilities.
• Identify and articulate opportunities where data analytics and statistical modeling can drive significant business impact and solve client problems.
• Design and develop comprehensive analytic solutions and proposals, outlining methodologies, expected outcomes, and implementation plans.
• Translate complex analytical findings and solution designs into clear, concise, and persuasive communications for both technical and non-technical audiences, including clients, account teams, and data analysts.
• Oversee or guide the implementation of appropriate Decision Sciences products and services, ensuring alignment with client needs and project objectives.
• Act as a trusted advisor and subject matter expert in analytics, building credibility and fostering strong client relationships.
• Collaborate cross-functionally with sales, account management, and data science teams to ensure seamless delivery of analytic solutions.

📝 Enhancement Note: The responsibilities highlight a consultative approach, emphasizing the ability to not only design solutions but also to understand client business issues and articulate value. This is crucial for operations roles that bridge technical capabilities with business outcomes.

🎓 Skills & Qualifications

Education:

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

Experience:

• A minimum of 7 years of progressive experience in conducting analytics, statistical modeling, and/or insights projects.
• At least 3 years of direct experience in consulting with clients, specifically in designing and delivering analytic solutions that address business issues.

Required Skills:

• Analytics Expertise: Demonstrated proficiency in designing and conducting data analysis and data modeling projects.
• Statistical Modeling: Practical knowledge of various analytical modeling techniques and statistical concepts.
• Consulting Acumen: Proven consulting skills with the ability to build personal credibility and trust with clients.
• Business Acumen: Strong ability to understand client business issues and apply analytical insights to drive business value.
• Solution Design: Expertise in translating business needs into well-defined analytical solutions.
• Communication: Excellent verbal and written communication skills, with the ability to present complex information clearly and persuasively.
• Interpersonal Skills: Strong ability to build rapport, collaborate effectively, and manage client relationships.
• Time Management: Effective skills in managing multiple projects, priorities, and deadlines.
• Proposal Writing: Experience in crafting compelling proposals that clearly articulate value and methodology.
• Customer-Centricity: A demonstrated empathetic, customer-driven attitude.

Preferred Skills:

• Experience with specific analytics platforms or tools relevant to BI WORLDWIDE's offerings (e.g., data visualization tools, statistical software).
• Experience in the rewards, recognition, or employee engagement industry.
• Advanced statistical techniques such as machine learning, predictive modeling, or segmentation.

📝 Enhancement Note: The emphasis on consulting skills, business acumen, and proposal writing is critical. For operations roles, this signifies the need to not only execute technically but also to understand the business context, articulate value, and influence stakeholders. The preference for a Master's degree suggests a need for strong theoretical underpinnings in quantitative methods.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Project Case Studies: Showcase 2-3 detailed case studies that demonstrate your ability to identify a business problem, design an analytic solution, execute the analysis, and articulate the business impact.
• Solution Design Examples: Include examples of how you have translated complex business requirements into specific analytic design proposals or frameworks.
• Methodology Documentation: Provide documentation or descriptions of the analytical methodologies and statistical techniques you have applied in past projects.
• Impact & ROI Articulation: Clearly demonstrate how your analytic solutions have driven measurable business outcomes, such as increased efficiency, revenue growth, cost reduction, or improved customer engagement.

Process Documentation:

• Candidates should be prepared to discuss their systematic approach to client discovery, problem definition, and analytic solution design.
• Demonstrate experience in documenting analytical processes, assumptions, and findings to ensure clarity and replicability.
• Exhibit an understanding of how to integrate analytic findings back into business processes for continuous improvement.

📝 Enhancement Note: For a role like this, a portfolio is essential for demonstrating practical application of skills. It should highlight not just the technical execution but the strategic thinking, problem-solving, and business impact derived from analytics. This is a common expectation for senior individual contributor and consulting roles in operations.

💵 Compensation & Benefits

Salary Range: $125,000.00 to $140,000.00 per year.

• The final salary will be determined based on the applicant's background, experience, skills, and alignment with the role's requirements.

Benefits:

• Comprehensive health, dental, and vision insurance plans.
• Retirement savings plan (e.g., 401(k)) with company matching.
• Paid time off (PTO), including vacation, sick leave, and holidays.
• Opportunities for professional development, training, and certifications.
• Employee assistance programs and wellness initiatives.
• Potential for performance-based bonuses or incentives.
• Specific details available at: https://www.biworldwide.com/careers/benefits-page/

Working Hours:

• Typically a 40-hour work week, aligned with standard business operations.
• Hybrid work model allows for flexibility, with 3 days in the Edina office and 2 days remote.

📝 Enhancement Note: The salary range provided is typical for a senior-level analytics or consulting role in a major metropolitan area like Minneapolis. The inclusion of a dedicated benefits page link is a good practice, allowing candidates to research the full scope of offerings. The hybrid model offers a balance between in-person collaboration and remote work flexibility, common in many modern operations environments.

🎯 Team & Company Context

🏢 Company Culture

Industry: Employee Engagement, Recognition Programs, and Business Performance Improvement. BI WORLDWIDE specializes in creating programs that foster employee motivation, engagement, and drive business results through behavioral science. Company Size: BI WORLDWIDE is a substantial organization, likely employing several hundred to over a thousand individuals. This size suggests structured processes, dedicated departments, and opportunities for cross-functional collaboration. Founded: BI WORLDWIDE has a long-standing history, founded in 1970, indicating stability, established methodologies, and a deep understanding of its market.

Team Structure:

• This role is within the Decision Sciences team, which is likely composed of analysts, statisticians, data scientists, and potentially project managers focused on data-driven insights.
• As an individual contributor, the role will report to a manager or director within Decision Sciences, with significant interaction with client-facing Account Teams.
• Collaboration is expected across various departments, including sales, client relationship management, technology, and program management, to ensure analytic solutions are integrated into broader client strategies.

Methodology:

• The Decision Sciences team likely employs a blend of established statistical techniques and modern data science approaches to analyze behavioral data, program effectiveness, and client performance metrics.
• Emphasis is placed on behavioral science principles to design and measure interventions that drive desired outcomes.
• Processes will involve data collection, cleaning, statistical analysis, predictive modeling, and the generation of actionable insights.

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

📝 Enhancement Note: Understanding BI WORLDWIDE's focus on employee engagement and behavioral science is key. Operations professionals in this context would apply analytics to measure program effectiveness, predict engagement trends, and optimize strategies for client success in these areas. The company's longevity suggests a mature, process-oriented environment.

📈 Career & Growth Analysis

Operations Career Level: This role represents a senior individual contributor path within analytics and decision sciences. It is a "Director" level designation, signifying significant expertise, strategic impact, and client-facing influence, often equivalent to a senior manager or principal consultant in other organizations. The focus is on deep subject matter expertise and advisory capacity rather than direct people management. Reporting Structure: The Analytics Design Director will likely report to a Director or VP of Decision Sciences. They will work closely with Client Account Managers and Sales Teams, acting as a critical support and design resource for client engagements. Operations Impact: The role's impact is measured by its direct influence on client strategy and BI WORLDWIDE's ability to deliver measurable business results for its clients. This includes driving client satisfaction, retention, and expansion through superior analytic solutions, and contributing to the company's reputation as a leader in data-driven engagement strategies.

Growth Opportunities:

• Specialization: Deepen expertise in specific areas of behavioral analytics, predictive modeling, or industry-specific applications (e.g., sales incentives, employee recognition).
• Client Influence: Grow to lead engagements with BI WORLDWIDE's largest and most strategic enterprise clients.
• Methodology Development: Contribute to the development and refinement of BI WORLDWIDE's proprietary analytic methodologies and product offerings.
• Thought Leadership: Represent BI WORLDWIDE at industry conferences, publish insights, and become a recognized expert in the field of employee engagement analytics.
• Potential Transition: While primarily an individual contributor role, there may be pathways to leadership roles in analytics management or business unit strategy over time, depending on individual career goals and organizational needs.

📝 Enhancement Note: The "Director" title in an individual contributor capacity indicates a high level of autonomy and strategic responsibility. Growth will likely involve increasing complexity of projects, client portfolios, and methodological innovation rather than managing a team.

🌐 Work Environment

Office Type: BI WORLDWIDE operates a hybrid work model, indicating a modern office environment designed for both focused individual work and collaborative team sessions. Office Location(s): The primary office is located at 7540 Bush Lake Rd., Edina, Minnesota, 55439, within the Minneapolis Metro area. This location offers access to a robust business and talent ecosystem.

Workspace Context:

• The Edina headquarters is likely equipped with modern office amenities to support collaboration, client meetings, and individual productivity.
• Expect a professional, data-driven environment where analytical thinking and evidence-based decision-making are valued.
• The hybrid model facilitates a balance between in-person interaction for strategic discussions and remote work for focused analysis and deep work.

Work Schedule:

• Standard full-time hours are expected, likely around 40 hours per week.
• The hybrid arrangement (3 days in-office, 2 days remote) offers flexibility, allowing individuals to structure their week to optimize for collaboration and personal productivity.

📝 Enhancement Note: The hybrid model is a significant factor for work-life balance and collaboration. Operations professionals often thrive in environments that offer structured processes while also providing flexibility for deep analytical work.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and resume to assess alignment with the core requirements.
• Hiring Manager Interview: An in-depth discussion focusing on your experience in analytics, statistical modeling, client consulting, and business acumen. Expect questions related to past projects and problem-solving approaches.
• Portfolio Review & Presentation: You will likely be asked to present a selection of your work (case studies, proposals) to showcase your skills in designing analytic solutions, communicating complex findings, and demonstrating business impact.
• Team/Peer Interview: Interviews with members of the Decision Sciences team or other cross-functional stakeholders to assess technical fit, collaboration style, and cultural alignment.
• Final Interview: A discussion with senior leadership to confirm overall fit and strategic alignment.

Portfolio Review Tips:

• Focus on Impact: For each case study, clearly articulate the business problem, your role in designing the solution, the analytical methods used, and most importantly, the measurable business outcomes achieved (e.g., ROI, efficiency gains).
• Showcase Design Thinking: Highlight your process for translating ambiguous business needs into concrete analytic questions and solution designs.
• Demonstrate Communication: Prepare to walk through your presentations and explain complex statistical concepts in a way that is understandable to a non-technical audience.
• Tailor to BI WORLDWIDE: Research BI WORLDWIDE's focus on employee engagement and behavioral science. If possible, frame your examples to align with these areas, demonstrating your understanding of their business.

Challenge Preparation:

• Be prepared for a case study or a hypothetical client scenario where you may need to outline an approach to solving a business problem using analytics.
• Practice articulating your thought process, assumptions, and potential analytical methodologies.
• Be ready to discuss how you would manage client expectations and communicate progress and findings effectively.

📝 Enhancement Note: A strong portfolio is crucial for this role. Candidates should prepare to demonstrate their ability to not just do analytics, but to design solutions and communicate their value strategically. The interview process will likely be rigorous, testing both technical depth and consultative soft skills.

🛠 Tools & Technology Stack

Primary Tools:

• Statistical Software: Proficiency in tools like R, Python (with libraries like Pandas, NumPy, SciPy, Scikit-learn), SAS, SPSS, or similar for statistical analysis and modeling.
• Data Visualization Tools: Experience with tools such as Tableau, Power BI, QlikView, or similar for creating dashboards and presenting insights.
• Database Querying: Strong SQL skills for data extraction, manipulation, and analysis from relational databases.
• Spreadsheet Software: Advanced proficiency in Microsoft Excel or Google Sheets for data analysis, modeling, and reporting.

Analytics & Reporting:

• Experience with data warehousing concepts and working with large datasets.
• Familiarity with A/B testing methodologies and experimental design.
• Ability to develop and interpret key performance indicators (KPIs) relevant to employee engagement, sales performance, or client program success.

CRM & Automation:

• While not explicitly mentioned as primary, familiarity with CRM systems (like Salesforce) and marketing automation platforms can be beneficial for understanding client data context and program integration.
• Experience with project management or workflow tools may be helpful for managing complex projects.

📝 Enhancement Note: The core tools will revolve around statistical programming languages, data visualization, and SQL. Candidates should be prepared to discuss their experience with these tools and how they've used them to solve business problems.

👥 Team Culture & Values

Operations Values:

• Customer-Centricity: A genuine commitment to understanding and solving client business issues, as highlighted in the job description.
• Data-Driven Decision Making: A strong belief in using data and analytics to inform strategy and measure outcomes.
• Collaboration: A willingness to work closely with internal teams (sales, account management) and external clients to achieve shared goals.
• Innovation & Continuous Improvement: An drive to explore new analytical approaches and continuously refine methodologies for better client results.
• Integrity & Professionalism: Upholding high standards in client interactions, data handling, and professional conduct.

Collaboration Style:

• Expect a collaborative environment where cross-functional teams work together to deliver integrated solutions.
• The role requires strong communication and partnership with account management to ensure analytic recommendations are actionable and well-received by clients.
• A culture of sharing insights and best practices within the Decision Sciences team is likely encouraged.

📝 Enhancement Note: BI WORLDWIDE's focus on employee engagement suggests a culture that values people, performance, and positive impact. Operations professionals in this environment will need to balance analytical rigor with a strong understanding of human behavior and client relationship management.

⚡ Challenges & Growth Opportunities

Challenges:

• Bridging Technical & Business: Effectively translating complex statistical concepts and analytical findings into clear, business-oriented recommendations for clients.
• Ambiguous Client Needs: Navigating situations where client business problems are not clearly defined, requiring strong discovery and problem-framing skills.
• Data Complexity & Quality: Working with potentially diverse and imperfect datasets, requiring robust data cleaning, validation, and careful methodological choices.
• Influencing Stakeholders: Gaining buy-in from clients and internal teams for analytical recommendations, especially when they challenge existing approaches.
• Pace of Innovation: Keeping up with evolving analytical techniques and technologies in the data science and behavioral analytics fields.

Learning & Development Opportunities:

• Advanced Analytics Training: Access to resources for further developing skills in machine learning, predictive modeling, AI, and other advanced statistical techniques.
• Industry Exposure: Opportunities to work with a variety of clients across different industries, broadening understanding of business challenges and solutions.
• Behavioral Science Integration: Deepen knowledge of behavioral economics and psychology as applied to employee engagement and motivation programs.
• Consulting Skill Enhancement: Development programs focused on client management, stakeholder influence, and strategic advisory.
• Mentorship: Potential to learn from senior leaders within Decision Sciences and BI WORLDWIDE.

📝 Enhancement Note: The challenges are typical for senior-level consulting and analytics roles. Growth opportunities are geared towards deepening technical expertise and strategic client advisory capabilities.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design an analytic solution for a client with a poorly defined business problem. What was your process?" (Focus on discovery, problem framing, and iterative design).
• "How do you ensure your analytical recommendations are actionable and adopted by clients?" (Focus on communication, stakeholder buy-in, and integration into business processes).
• "Walk me through a complex statistical modeling project you led. What were the key challenges, and how did you overcome them?" (Focus on methodology, problem-solving, and results).
• "How would you leverage data analytics to improve employee engagement or sales performance for a client?" (Be ready to propose a high-level framework).

Company & Culture Questions:

• "What do you know about BI WORLDWIDE and our focus on behavioral science and employee engagement?" (Research the website, recent news, and case studies).
• "How do you approach building credibility and trust with clients?" (Highlight your consultative approach, listening skills, and delivery excellence).
• "Describe your experience working in a hybrid environment. How do you maintain collaboration and productivity?" (Emphasize communication strategies and self-management).

Portfolio Presentation Strategy:

• Structure: For each case study, use a clear narrative: Problem -> Your Approach (Design/Methodology) -> Solution -> Results (Quantifiable Impact).
• Visuals: Use clean, professional slides. Highlight key findings and metrics visually.
• Storytelling: Frame your projects as compelling stories of problem-solving and value creation.
• Conciseness: Be ready to present your key projects within a defined timeframe (e.g., 15-20 minutes for a presentation, leaving ample time for Q&A).
• Q&A Readiness: Anticipate questions about your methodology, challenges, and the ROI of your work.

📝 Enhancement Note: Preparation should focus on demonstrating a blend of technical expertise, strategic thinking, and excellent communication skills. The ability to connect analytics to tangible business outcomes is paramount.

📌 Application Steps

To apply for this Analytics Design Director position:

• Submit your application through the BI WORLDWIDE careers portal via the provided link.
• Portfolio Customization: Curate your portfolio to highlight 2-3 of your most impactful analytics projects that demonstrate client consulting, solution design, and measurable business results. Tailor descriptions to emphasize aspects relevant to employee engagement and business performance if possible.
• Resume Optimization: Ensure your resume clearly articulates your experience in analytics, statistical modeling, client consulting, and proposal writing. Use keywords from the job description and quantify your achievements whenever possible (e.g., "Increased client retention by X% through predictive analytics").
• Interview Preparation: Practice articulating your experience using the STAR method (Situation, Task, Action, Result). Prepare your portfolio presentation, focusing on clear storytelling and quantifiable impact. Research BI WORLDWIDE's methodologies and client success stories.
• Company Research: Thoroughly review the BI WORLDWIDE website, particularly their "About Us," "Solutions," and "Careers/Benefits" sections. Understand their core business, values, and approach to employee engagement and recognition.

⚠️ 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.

---