Sr. Analyst - New Store Delivery Analytics

LOCATION 1830 Route 130 North Burlington NJ US 08016
Overview

The Sr. Analyst - New Store Delivery Analytics is an important role for Burlington, charged with leveraging advanced analytics to drive the strategic expansion and operational efficiency of new store openings. Reporting directly to the Vice President of New Store Openings, this role is instrumental in synthesizing data from diverse operational areas such as real estate, merchandising, operations, and logistics. The Sr. Analyst develops actionable insights through several data sources, synthesizing key outputs with recommendations on how to address. By transforming complex datasets into actionable intelligence, this role supports strategic decisions that optimize both the pace and quality of store openings, directly influencing Burlington's growth objectives and competitive position in the retail market.

The role requires someone that can manage complex data, find actionable insights, build effective reporting, and understand systems to help drive better integration in our new store delivery process.

Key Responsibilities

• Data integration: Develop scalable datasets from diverse sources to build a single source of truth prior to opening new stores as well as after they are open for the first 90 days.

• Data insights: Leverages datasets to develop insights that both help explain root causes of performance as well as helps put actions against them.

• Reporting: Key owner of building a simplified set of reporting to help inform and drive actions at different parts of the Burlington organization (from C-suite to frontline).

• Systems understanding & integration: Will build and manage a data dictionary to act as our team's source of truth on where key data exists (or needs to be created) with on-going plan to build more systems integration.

As a key member of our team, you will not only lead by example but also inspire a culture of excellence and innovation that aligns with Burlington's strategic goals and values.

A Day in the Life

Advanced Analytics & Data Strategy

• Develop predictive analytics and machine learning algorithms to forecast potential delays and identify factors impacting new store success

• Conduct scenario analysis to continuously evaluate the impacts of different strategies on new store performance

• Collaborate with IT to ensure the robustness and scalability of the analytics infrastructure, supporting real-time data analysis and reporting.

Reporting System Development and Management

• Build customized dashboards and automated reports that track key performance indicators like project timelines, budget adherence, and operational readiness at new store locations.

• Regularly review and update reporting tools to ensure they meet the evolving needs of the business and provide end-users with intuitive, actionable insights.

• Ensure data integrity and validation processes are in place to maintain accuracy and trustworthiness of reports.

• Train end-users on new reports and dashboards, providing support and documentation to ensure effective usage across departments.

Cross-Functional Collaboration & Support

• Act as the key liaison between the analytics team and operational departments to ensure data needs and reporting requirements are met.

• Provide analytical support for cross-functional project teams, helping to optimize processes such as merchandise allocation, staffing models, and store layout planning.

• Facilitate data-driven meetings and workshops with stakeholders to discuss findings, gather feedback, and align on data-driven strategies.

• Integrate feedback from operational teams into analytics models to refine and improve the relevance and impact of data outputs.

Innovation & Process Improvement

• Investigate and recommend new technologies or data sources that can enhance analytical depth or efficiency, such as IoT devices for real-time tracking of store setup processes.

• Lead continuous improvement initiatives to streamline data collection, analysis, and reporting processes, reducing time-to-insight for critical business decisions.

• Pilot and evaluate the impact of new analytical tools or methodologies on a small scale before broader rollout, ensuring feasibility and value-add.

• Document best practices in data analysis and model development to standardize and share knowledge across the analytics team.

You'll Come With

• Education: BA Real Estate or equivalent experience

• Experience: 5+ years of experience

• Effective cross functional leader, has ability to influence, strong verbal communicator, resilient and innovative problem solver

• Experience with new store opening processes a plus, has knowledge of different cross functional dependencies

• Leverage data to analyze and identify risk to ensure proper resource allocation and prioritization

• Effective at leading meetings, ensuring follow-ups are clear, assigned to the right business partners and verify timely completion

• Ability to recognize patterns and solve issues at root level

• Travel: 10% infrequent travel, more often during store opening quarters

Come join our team. You're going to like it here!

You will enjoy a competitive wage, flexible hours, and an associate discount. Burlington's benefits package includes medical, dental and vision coverage including life and disability insurance. Full time associates are also eligible for paid time off, paid holidays and a 401(k) plan.

We are a rapidly growing brand, and provide a variety of training and development opportunities so our associates can grow with us. Our teams work hard and have fun together! Burlington associates make a difference in the lives of customers, colleagues, and the communities where we live and work every day. Burlington Stores, Inc. is an equal opportunity employer committed to workplace diversity.

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Posting Number 2024-225797
Location US-NJ-Burlington
Address 1830 Route 130 North
Zip Code 08016
Workplace Type Remote
Position Type Regular Full-Time
Career Site Category Corporate
Position Category Real Estate/Store Development
Evergreen Yes
Min USD $80,000.00/Annual
Mid USD $105,000.00/Annual