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Mid LevelFull-time
Salary Range
$68,000 - $92,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
The Business Analyst at PayJoy is responsible for supporting departments through data extraction and analysis, developing reports on performance measurement objectives and KPIs, utilizing Business Intelligence tools and SQL, identifying improvement opportunities, and generating insights that optimize efficiency, quality, and customer experience.
Key Responsibilities
- →Analyze sales performance data to present reports and data-based recommendations that guide the decision-making and actions of the sales team, using charts, visualizations, and other effective means to communicate findings clearly and concisely. Conduct in-depth market research and competitive analyses to identify trends, opportunities, and threats.
- →Filter and analyze data consistently and scalably, working with large volumes of data to build a solid foundation for calculated decision-making - even knowing that not all answers are in the data and/or that not all the data you would like is available.
- →Collect information to find improvement opportunities, including monitoring the impact of training.
- →Make recommendations on how to improve results based on data analysis and a deep understanding of how our products and processes work.
- →Measure the performance of internal sales areas (KPIs, KBI, KKI, and KSI)
- →Analyze marketing campaign performance, including website traffic, lead generation, customer acquisition costs, and customer engagement.
- →Analyze the effectiveness of sales training programs, sales promotions, and incentives.
- →Manage multiple requests and prioritize report generation.
Requirements
- ✓Degree in Industrial Engineering, Business Administration, Finance, or Data Analysis
- ✓Previous experience in Data Analysis for Sales or Marketing areas (within Finance and Startups is a plus)
- ✓Excellent communication, organization, and interpersonal skills.
- ✓Analytical thinking and problem-solving skills to analyze data, identify inefficiencies, and propose data-driven solutions for improvement and work with large and complex datasets
- ✓Ability to quickly adapt to changes in the work environment and priorities and adapt to learn new processes, concepts, and skills.
- ✓Intermediate knowledge of SQL, data visualization software (Power BI, Looker, Tableau), Excel, and spreadsheet skills in Google Sheets.
