Job Title: Statistical Analyst
Location: Orlando, Florida or Remote
Reports to: Director of Data ScienceAbout LSQ
LSQ provides businesses better solutions to manage their cash flow. Offering supply chain finance (LSQ FastTrack) and invoice purchase funding solutions, LSQ provides buyers & suppliers with a simple, secure, and transparent funding experience. With working capital from LSQ, a business can purchase more inventory, fill more orders, and take advantage of new growth opportunities. Our creative and timely approach to providing working capital allows our clients and partners to drive business success.
LSQ is searching for a Statistical Analyst to join our growing team of analytics experts. As a Statistical Scientist, you will be leveraging data and statistical modeling techniques to help LSQ in its efforts to acquire customers and help support SMBs (Small and Medium-Sized Businesses) in need of working capital. The hire will help bring quantitative rigor to the funding and decision-making process. This position is a high-visibility and high-impact opportunity that will directly impact how the decisions are made across our organization.
Applying your expertise in statistical analysis, data mining, data visualization to provide the story behind the numbers
Helping LSQ in mitigating financial risk by analyzing customer behavior associated with fraud
Driving customer acquisition at LSQ by understanding the customer working capital needs
Creating statistical models based on our 20-plus years of real-world commercial data to assist campaign creation to build more effective marketing materials
Analyzing customer engagement data to determine how different types of “leads” should be handled
Defining key metrics for understanding the impact of a feature, product, etc., understanding the root causes of changes in metrics
Meeting with stakeholders to discuss their data analysis needs
Presenting analysis to business development managers and stakeholders
Building key data sets to empower operational and exploratory data analysis
Assisting with the interpretation and use of extracted data
Designing and evaluating A/B testing experiments and performing causal impact analysis
Evaluating the success of business decisions based on data trends
Strong oral and written communication skills; ability to tell a compelling story with data
Bachelor’s/Master’s degree in mathematics, Statistics, Finance, Computer Science, or a related field
3+ years of relevant work experience
1+ years of experience uncovering data insights to form hypothesis, designing product experiments, evaluating results, and making recommendations
Advanced proficiency in SQL with the ability to design and execute advanced database queries to answer business questions.
Expertise in statistics, probability theory, and hypothesis testing
Fluency in a statistical programming language such as Python, R
Proficiency in data transformation, consolidating data from disparate sources, into data visualization of analytic findings
Self-motivated and self-managing, with strong organizational skills
Nice to have
Experience working with big data technologies (Spark, Athena) and Amazon Web Services
Skilled with reporting and data visualization in Tableau
Experience in performing causal impact modeling
Other skills needed
Strong communication skills, both oral and written
Resourceful, self-starter, independent thinker
Team player, collaborative, responsive
Position Type and Expected Hours of Work: This is a full-time position located in either our Orlando headquarters or the NYC area.
Travel: Minimal travel
LSQ is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at LSQ via-email, the Internet or in any form and/or method without a valid written Statement of Work in place for this position from LSQ HR/Recruitment will be deemed the sole property of LSQ. No fee will be paid in the event the candidate is hired by LSQ as a result of the referral or through other means.
LSQ is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived, race, religion, color, sex (including pregnancy and gender identity), sexual orientation, parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, any other non-merit based factor or any other characteristic protected by applicable federal, state or local laws. Our leadership team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment. If you’d like more information about your EEO rights as an applicant under the law, please click here http://www1.eeoc.gov/employers/poster.cfm