Manager, Business Analytics & Reporting

Pacsun Careers•Anaheim, CA

About The Position

The Manager, Business Analytics & Reporting is a hands-on analytics leader responsible for Pacsun’s enterprise business reporting, dashboards, KPI development, and actionable business insights. Reporting to the Director, Enterprise Data & Analytics, this manager leads a small reporting and analytics team and serves as a bridge between business stakeholders and technology. The role combines deep Strategy (formerly MicroStrategy) expertise with retail business acumen, and is accountable for the accuracy and integrity of reported data. The manager works with data engineering and the Snowflake data warehouse to ensure reporting is performant, consistent, and trusted, while actively learning and integrating AI solutions into analytics. The position owns day-to-day enterprise reporting and analytics delivery, primarily using Strategy. It leads the design, development, enhancement, and support of executive dashboards, operational reports, scorecards, and analytical solutions, while remaining hands-on with platform architecture, development, administration, performance, and troubleshooting. The manager translates business questions into meaningful KPIs and analytical views and proactively surfaces trends, exceptions, risks, and opportunities across sales, margin, inventory, sell-through, and omnichannel performance. The role partners with business leaders across merchandising, planning, inventory, stores, eCommerce, finance, supply chain, marketing, and executive leadership. It sets the reporting roadmap, prioritizes work by business value and enterprise priorities, promotes self-service analytics and data literacy, and leads a small team of MicroStrategy engineers and BI developers. The manager also coordinates with vendors, contract or offshore resources, IT leadership, data engineers, and architects. The manager ensures accurate, complete, and consistent reporting by establishing validation and reconciliation checks against source systems and Snowflake, resolving data-quality issues with data engineering, and implementing BI governance, naming standards, certified datasets and metrics, security models, and service levels. The role evaluates and pilots AI capabilities such as natural-language queries, AI-generated insights, anomaly detection, Snowflake AI features, and GenAI tools, validating outputs and adhering to security, privacy, and governance standards. It also leads continuous-improvement initiatives and proofs of concept to improve performance, usability, and cost efficiency. This is a full-time position in a professional office environment. The role may require occasional evening or weekend work during high-volume periods and travel by hotel, airplane, or car. The workplace includes an open environment with fluctuating temperatures and standard lighting; the role routinely uses standard office equipment and requires extended computer and mobile-phone use.

Requirements

Bachelor’s degree in Information Systems, Computer Science, Analytics, Business, Finance, or a related field, or equivalent practical experience.
At least 5 years of hands-on Strategy (formerly MicroStrategy) experience with architect-level depth across enterprise metadata, metrics, schema design, reporting, dashboards, administration, performance, and troubleshooting.
Hands-on experience with Snowflake, including querying, performance tuning, and integrating Snowflake data with Strategy.
Strong SQL and relational database skills, and solid understanding of data warehouse technology, dimensional data models, and ETL/ELT concepts.
Demonstrated retail analytics experience and in-depth understanding of sales, inventory, cost, margin, gross margin, sell-through, inventory productivity, and related retail KPIs.
Experience leading reporting and analytics development and a small technical or analytical team.
Demonstrated experience learning, adopting, and integrating AI tools or features into BI or analytics work.
Excellent written, verbal, presentation, and cross-functional communication skills, including the ability to clarify ambiguous needs and translate business requirements into scalable analytical solutions.
Strong analytical and problem-solving skills, attention to detail, and commitment to data accuracy.
Hands-on orientation and ability to build, troubleshoot, validate, and improve analytical solutions.
Project-management abilities, including prioritization, scheduling, and agile delivery in a fast-paced, changing environment.
Ability to maintain confidentiality and balance a strong management presence with approachability, encouraging associate feedback and interaction.
Ability to work in an open environment with fluctuating temperatures and standard lighting; use a computer and mobile phone for multiple hours with frequent interruptions; and travel between floors by elevator or stairs to attend meetings and engage with associates.
May be required to travel by hotel, airplane, and car.
Occasional evening and/or weekend work may be required during periods of high volume.

Nice To Haves

Fashion, apparel, specialty, or omnichannel retail experience.
Strategy (MicroStrategy) certification and Snowflake certification, such as SnowPro.
Experience with Tableau, Power BI, Looker, or other modern BI platforms.
Experience with self-service analytics, governed semantic layers, and AI-enabled analytics.

Responsibilities

Own day-to-day enterprise reporting and analytics delivery, primarily using Strategy (formerly MicroStrategy).
Lead the design, development, enhancement, and support of executive dashboards, operational reports, scorecards, and analytical solutions.
Remain hands-on in Strategy architecture and development, including metadata, schema objects, attributes, metrics, hierarchies, filters, reports, dossiers, dashboards, security, performance, and troubleshooting.
Manage the platform lifecycle, including upgrades, release planning, testing, performance tuning, production support, documentation, and reporting standards.
Translate business questions into meaningful KPIs and analytical views, and proactively identify trends, exceptions, risks, and opportunities in sales, margin, inventory, sell-through, and omnichannel performance.
Partner with merchandising, planning, inventory, stores, eCommerce, finance, supply chain, marketing, and executive leadership to identify analytics opportunities and provide solutions.
Serve as an escalation point to remove roadblocks and ensure timely delivery.
Drive the reporting and analytics roadmap, prioritizing development by business value, urgency, and enterprise priorities.
Promote self-service analytics and data literacy by training business users.
Lead and develop a small team of MicroStrategy engineers and BI developers, and coordinate with vendors, contract or offshore resources, IT leadership, data engineers, and architects.
Ensure consistent interpretation of enterprise KPIs and accurate, complete data in reports and dashboards.
Establish validation and reconciliation checks against source systems and Snowflake, and work with data engineering to resolve source-data, model, and data-quality issues.
Establish BI governance, naming standards, certified datasets and metrics, security models, and service levels for report availability and performance.
Evaluate, pilot, and integrate AI capabilities into reporting and analytics, including natural-language query, AI-generated insights, anomaly detection, Snowflake AI features, and GenAI tools.
Validate AI-generated output and follow data security, privacy, and governance standards.
Run proofs of concept and lead initiatives to improve report performance, usability, and cost efficiency.
Operate with integrity and confidentiality, develop cross-functional partnerships, advocate for Pacsun, recruit and develop talent, and serve as a leader of company culture and conduct.