Data Strategy Analyst: Market & Prospect Intelligence

Genesis Capital LLC; California (MO); On-site; USD 70,000 - 100,000; Full time

Job summary

Genesis Capital LLC is seeking a Data Strategy Analyst to ensure market and prospect data quality across sales, reporting, and lending platforms. You will define research criteria, supervise offshore research, and maintain accurate, auditable datasets essential to the firm's commercial activities.

You will collaborate with BI and Sales Management, deliver on time, and contribute to continuous improvements in data processes for a fast-paced lending environment.

Qualifications

• Bachelor's degree in business, analytics, or quantitative field, or equivalent practical experience.
• 1–4 years of professional experience in market research, data validation, or analytics.
• Strong Excel skills and ability to work across large data sets.
• Familiarity with CRM, BI tools, or SQL is an advantage.
• Clear written and verbal communication; ability to summarize research findings for sales and executives.
• Strong time management with multiple priorities and deadlines.

Responsibilities

• Translate priorities into research criteria and markets, lender relationships, and product segments.
• Directly manage and quality-review offshore research, setting standards for valid prospects.
• Maintain current view of addressable market coverage and competitor activity.

Skills

Excel

Data validation

Communication skills

Time management

Summarizing research findings

Education

Bachelor's degree in business/analytics/quantitative field

Tools

SQL

CRM platforms

BI tools

Job description

Genesis Capital LLC is seeking a Data Strategy Analyst to ensure market and prospect data quality across sales, reporting, and lending platforms. You will define research criteria, supervise offshore research, and maintain accurate, auditable datasets essential to the firm's commercial activities.

You will collaborate with BI and Sales Management, deliver on time, and contribute to continuous improvements in data processes for a fast-paced lending environment.