Lead Data Analyst - Club Operations

Join our team of more than 34,000 team members, supporting our members and communities in our Club Support Center, 235+ clubs and eight distribution centers. BJ’s Wholesale Club offers a collaborative and inclusive environment where all team members can learn, grow and be their authentic selves. Together, we’re committed to providing outstanding service and convenience to our members, helping them save on the products and services they need for their families and homes.

The Benefits of working at BJ’s

•        BJ’s pays weekly

•        Eligible for free BJ's Inner Circle and Supplemental membership(s)*

•        Generous time off programs to support busy lifestyles* 

                      o Vacation, Personal, Holiday, Sick, Bereavement Leave, Jury Duty

•        Benefit plans for your changing needs*

                      o Three medical plans**, Health Savings  Account (HSA), two dental plans, vision plan, flexible spending ​

•        401(k) plan with company match (must be at least 18 years old)

*eligibility requirements vary by position

**medical plans vary by location

Job Summary:

As the Lead Data Analyst, you will be responsible for providing data-driven insights that identify and diagnose specific execution opportunities in both the field and corporate office. You will have high visibility to Senior Leadership within the org as well as cross-functional interactions with other senior leaders within the greater business.  This role requires an excellent collaborator, communicator, and analyst with extensive hands-on data experience. The successful candidate is a problem solver in a fast-moving and highly diverse environment and will be able to handle multiple projects simultaneously while ensuring accuracy and timeliness are not compromised. In addition to strong data mining and analytical skills, the Analyst must be adept at communicating findings to senior leadership and business stakeholders across the organization in both verbal and presentation formats using KPIs and metrics that are meaningful to the business. 

Major Tasks, Responsibilities, and Key Accountabilities:

• Build in-depth knowledge of BJ’s strategic priorities and processes as well as constructive relationships with senior leaders in the field and home office, operating in an internal consulting capacity to drive improved business outcomes.
• Perform value added ad-hoc analysis in support of business leadership and other key stakeholders to include success measurement components.
• Mine data using various tools ensuring data validation and integrity and build easily consumable insights & analysis for end user stakeholders.
• Analyze vast amounts of operational, financial, customer and product level data and make recommendations about improvements and opportunities for increasing sales and profit.
• Responsible for preparing analysis as well as communicating findings to senior leadership and business stakeholders across the organization in both verbal and presentation formats using KPIs and metrics that are meaningful to the business. 
• Take the lead on Business problems to include identifying questions, forming hypotheses and determining the best analytical approach, getting beyond the facts and delivering insights that inform business decisions and drive improved performance.

Qualifications:

• 6-8 years of finance, analytics or predictive modeling experience within a Retail environment with an understanding of key financial metrics and sales mechanics (gross sales, net sales, margin, waste, profit).
• BA/BS in Finance, Statistics, Economics, Business or other related quantitative field. MBA or Master’s degree with focus on analytics or prior consulting experience preferred.
• Expert in various data mining techniques. Hands on experience with complex SQL queries and or other data mining and statistical software knowledge preferred.
• Pro-active and self-motivated work style with proven ability to collaborate broadly with flexible, positive attitude to get results within a cross-functional team.
• Strong strategic, analytical and critical thinking skills; strong bias towards data-based decision making with the ability to break down complex problems and formul