Senior Business Analyst

About LFC

Legacy Franchise Concepts, a partner of Prospect Hill Growth Partners, invests in health, wellness, and lifestyle brands across the franchise landscape. Our portfolio includes SweatHouz, the fastest-growing infrared sauna and cold plunge franchise, and Dogtopia, the leading provider of dog daycare in North America.

What to expect

The business Analytics & Strategy team’s mission is to enable a data-driven business and supercharge growth across our portfolio of companies. This newly designed team is responsible for providing insights to department leaders, and identifying revenue generating, cost-cutting, and ways to optimize service fulfillment. The team directly supports leaders from our retail locations and the executive team of shared services at LFC. The business Analytics & Strategy team will also oversee due diligence for all new brand acquisitions.

Who is right for the role

You are a highly technical data engineer who can lead cross-functional projects for multiple direct-to-consumer brands using a modern data stack, and techniques to drive business process automation and support sales & service strategies by leveraging our data.You enjoy tackling hard problems, and problem-solving complex database projects. Data accuracy and innovation are core to who you are.

You are a collaborative team player capable of leading cross-functional projects with a modern data stack.

What you will do

• Work with Analytics & Strategy partners to deepen our understanding of consumers and inform communication, product, experience, marketing, and media strategies based on data-driven insights leveraging innovative, cutting-edge analytic tools to support and drive growth across all aspects of our business
• Contribute to all stages of the business analytics & strategy process: translating a complex business problem into a data engineering, data analysis, business intelligence roadmap, and interacting with key stakeholders
• Contribute to the company’s data strategy: the tech stack, data infrastructure & architecture, and governance
• Lead customer analytics and insights including overseeing customer health/ development tracking, Acquisition and Retention tracking/forecasting, customer segment profiling, market trends analysis, competitive intelligence, and ad hoc comprehensive customer analytics projects to inform strategic planning across the organization
• Oversee Analytics & Strategy partners in developing and maintaining complex pipelines & databases for all business units, cleaning data, and building models
• Direct ad-hoc customer analytic requests across the organization and deliver actionable data-driven customer insights to key stakeholders, including senior leaders, utilizing analytical toolsets including but not limited to SQL, Python, Power BI, Snowflake, 3rd party tools and more
• Contribute to the production of all weekly, monthly, and quarterly performance reports
• Interact with stakeholders, including but not limited to: field leaders, C-suite, private equity, board of advisors, potential acquisitions
• Act as the primary liaison with 3rd party software providers for all things data
• Co-lead the data room for due diligence of all potential acquisitions

Qualifications:

• 4+ years of experience in a quantitative role in Business, Marketing, Statistics, Computer Science, Analytics or a related field.
• Demonstrated leadership in data analytics, performance marketing analytics, data strategy development, and business intelligence implementation, with effective communication skills at the executive level.
• Proven track record of managing databases, interpreting and translating raw data into insightful recommendations - transforming analytics into compelling narratives that drive business decisions
• Deep and Extensive experience in visualization tools (Tableau, Power BI or similar)
• Experience with Snowflake, writing advanced SQL Queries, and hands-on experience in at least one analytics-oriented programming language
• Proficient with data wrangling and analyzing large datasets in structured and unstructured formats
• Strong understanding of creating and managing API from data sources
• Ability to think from first principles, and manage/prioritize multiple projects
• Must be highly motivated and be able to work both independently and in a team environment
• Applicants must be currently authorized to work in the United States on a full-time basis
• Strong understanding of data models, structures, theories, principles, and practices
• Advanced knowledge of MS Excel, Word, and Power Point

Interview process

• Screening call
• Technical project
• Team meeting
• Reference checks
• Offer

Job Type: Full-time

Pay: $140,000.00 - $175,000.00 per year

Benefits:

• Dental insurance
• Food provided
• Health insurance
• Health savings account
• Paid time off
• Vision insurance

Experience level:

• 5 years

Schedule:

• Monday to Friday
• Weekends as needed

Application Question(s):

• This role is 100% in office. Are you willing/able to commute to Atlanta 30339 full time?

Experience:

• Quantitative analysis: 4 years (Required)

Ability to Commute:

• Atlanta, GA 30339 (Required)

Ability to Relocate:

• Atlanta, GA 30339: Relocate before starting work (Required)

Work Location: In person