Job Location: United States
The Business Analyst will help shape business strategy and product development decisions through data-driven insights. This is an exciting role for someone to make a direct impact on the marketing, product, and revenue strategy of Lendistry. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: you know how to plow through data with SQL/Python/R, surface insights using math/statistics/Tableau techniques, and measure the business impact using efficiency/conversion/profit metrics.
GENERAL RESPONSIBILITIES:
The Business analyst will support the business and sales department by leveraging big data technologies to aggregate and structure data and perform reporting BI, and statistical analysis.
- Perform data discovery, analysis, and modeling
- Create reports, dashboards, and visualizations to understand business performance
- Analyze process issues and bottlenecks to aid business decision-making
- Communicate and validate requirements with relevant stakeholders
- Integrate business insight to Identify specific business opportunities
- Assist with project management for selected projects
- Collaborates with project stakeholders to better understand valuable objectives and KPIs and to design relevant reports and dashboards to produce better business outcomes
- Write clear and well-structured business requirements/documents
PROFICIENCIES:
- Excellent verbal and written communication skills.
- Strong knowledge of 1 or more scripting and programming languages (Python/R/SQL, etc.)
- Expert in Tableau
- Experience in the Data ETL process is a plus
- Sophisticated word processing and computer database skills, especially in Microsoft Word, PowerPoint, and Excel.
- Ability to think creatively and innovatively.
- Good interpersonal skills with the ability to work effectively with individuals and groups at all organizational levels, and the ability to work independently and as part of a team.
Education and Experience:
- BS/MS degree in a business/quantitative field: finance, engineering, math, statistics, etc.
- 5+ years of experience in data, analytics, and predictive modeling, preferably in the financial services industry
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