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Job Location: San Diego, CA
Job Detail:
Headquartered in San Diego, Mulligan Funding serves as a leading provider of working capital ($5K – $2M) to the small and medium-sized businesses that fuel our country. Since 2008, we have prided ourselves on our collaborative, innovative, and customer-focused approach. Enjoying a period of unprecedented growth, driven by the combination of cutting-edge technology, human touch, and unwavering integrity, we are looking to add to our people-first culture, with highly motivated and results-oriented professionals, to push the limits of what’s possible while creating value for all of our partners. Our online reviews are a testimony to the success of our approach.
The Data Analyst is responsible for collecting, analyzing, and interpreting large sets of data to help businesses make informed decisions. The role requires proficiency in data wrangling, statistical analysis, and data visualization, as well as strong communication and problem-solving skills. In this position, you will be expected to work collaboratively with various teams and business units to identify reporting needs, collect and cleanse necessary data, build reports, and provide actionable insights to drive organizational success. If you have a passion for data analysis and the ability to translate complex data into meaningful insights, we encourage you to apply for this exciting opportunity.
You will:
- Assemble, process, document and analyze data and provide intelligent synthesis, interpretation and action plans based on conclusions to business stakeholders across the company
- Build and automate data reports for use by business teams and company management
- Deliver key insights from data analysis in the form of presentation materials
- Own the accuracy, precision and publication of regular reports
- Use exploratory data analysis, apply statistical methods to identify patterns, trends, and insights
- Develop new and better analytics approaches to solve problems in a creative way
- Support the development and maintenance of models in collaboration with our data scientist/s
You have:
- B.A. or B.S. in Economics, Statistics, Finance, Computer Science or similar quantitative field from a top university
- Exceptional analytical and quantitative skills
- Course work and project experience in data analytics
- Some programming experience, e.g. in SQL or another language
- Experience with Microsoft Excel
- Independence in problem solving
- Strong attention to detail, ability to spot and fix problems, and organization skills
- Ability and desire to work collaboratively
- Intellectual curiosity and creativity
- Strong written and verbal communication skills
You may also have:
- Experience with Python or R or another programming language
- Working knowledge of data analysis and visualization tools, such as PowerBI or Tableau
- Some work or internship experience within financial services
We offer:
- Comprehensive medical, vision and dental benefits that give you the peace of mind
- Flexible Spending Accounts (FSA) that let you use pre-tax dollars to cover healthcare expenses
- A fantastic 401K with matching contribution that helps you plan for retirement and build wealth over time
- Generous sick, vacation, and holiday benefits that give you the time and flexibility you need to enjoy life
- A gym membership contribution that supports your well-being, and helps you stay energized and focused
- An internal referral program that rewards you for bringing talented people to the team
- Company events that foster a positive and inclusive culture, and create opportunities to bond and grow with your colleagues
A reasonable estimate of the salary range for this role is $67,000 – $85,000. In order to provide a competitive compensation package, Mulligan Funding takes into account a variety of factors including but not limited to market compensation data, relevant experience, skills, education, and certifications.
Mulligan Funding is an Equal Opportunity Employer (EOE) and takes great pride in building a diverse work environment. Qualified applicants are considered for employment without regard to age, race, religion, gender, national origin, sexual orientation, disability or veteran status.
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