Overview
On Site
100k - 115k
Full Time
Skills
Business-to-business
Data Visualization
Performance Metrics
Attention To Detail
Economics
Computer Science
Business Intelligence
Visualization
Microsoft Power BI
Tableau
KPI
Analytical Skill
Conflict Resolution
Problem Solving
Customer Relationship Management (CRM)
Salesforce.com
HubSpot
Reporting
Workflow
Python
R
Data Analysis
A/B Testing
Forecasting
SQL
Data Extraction
Collaboration
Presentations
Dashboard
Sales
Decision-making
Job Details
A growing B2B-focused organization is seeking a Data Analyst with a strong background in SQL and data visualization to help drive insights from sales and performance data. This position will play a critical role in helping sales and strategy teams understand customer behavior, identify revenue opportunities, and optimize performance metrics.
The ideal candidate will be detail-oriented, proactive, and comfortable working with large datasets to deliver clear, actionable insights to stakeholders across multiple departments.
Required Skills & Experience:
Tech Breakdown:
Daily Responsibilities:
The ideal candidate will be detail-oriented, proactive, and comfortable working with large datasets to deliver clear, actionable insights to stakeholders across multiple departments.
Required Skills & Experience:
- Bachelor's degree in Business, Economics, Computer Science, or a related field
- 3+ years of experience in data analysis, business intelligence, or a related role
- Advanced SQL skills for querying large datasets and building reports
- Proficiency in at least one visualization tool such as Power BI, Tableau, Looker, or Qlik
- Experience working with sales data, KPIs, and funnel metrics
- Strong analytical mindset with excellent problem-solving skills
- Ability to clearly present findings to both technical and non-technical teams
- Familiarity with CRM platforms (e.g., Salesforce, HubSpot)
- Experience creating dashboards and automated reporting workflows
- Exposure to Python or R for deeper data analysis or automation
- Knowledge of A/B testing or forecasting methodologies
- Understanding of pipeline health, conversion metrics, and sales forecasting
Tech Breakdown:
- 50% SQL Data Extraction and Analysis
- 30% Building Dashboards and Visual Reports
- 20% Cross-Team Collaboration and Presentation of Insights
Daily Responsibilities:
- 60% Working with raw sales data to uncover trends and opportunities
- 25% Designing and maintaining dashboards and performance reports
- 15% Partnering with sales and strategy teams to support decision-making
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.