Data Analyst

Job Summary

We are seeking a Data Analyst to join our Sales Operations team, responsible for transforming complex sales data into actionable insights that drive revenue growth and improve customer engagement. The role requires a blend of analytical rigor, storytelling ability, and cross‑functional collaboration to support sales strategy and performance measurement.

Key Responsibilities

• Design and maintain dashboards in Tableau and Power BI that track key sales metrics (quota attainment, pipeline velocity, win/loss rates) for regional and national sales leaders.
• Conduct deep‑dive analyses of customer segmentation and churn trends, presenting findings and recommendations to the Sales Enablement team.
• Automate data extraction from Salesforce, HubSpot, and ERP systems using SQL and Python, ensuring data integrity and reducing report turnaround time.
• Collaborate with Marketing to evaluate lead quality and attribution models, informing cross‑channel campaign budgets.
• Support quarterly forecasting and territory planning by building predictive models that incorporate historical performance, market conditions, and new product launches.

Required Qualifications

• Minimum of 3 years of experience as a data analyst in a B2B sales environment.
• Proficiency in SQL for data manipulation and extraction from relational databases.
• Strong analytical skills with the ability to translate complex data sets into clear, concise recommendations.
• Experience with data visualization tools such as Tableau or Power BI and familiarity with Salesforce reporting.

Preferred Qualifications

• Experience building predictive models in Python (scikit‑learn) or R.
• Knowledge of marketing attribution frameworks (e.g., multi‑touch, data‑driven attribution).
• Previous work in a fast‑paced SaaS or technology sales organization.

Required Skills

• Advanced SQL querying (joins, window functions, CTEs).
• Data visualization in Tableau and Power BI.
• Python programming for data cleaning, analysis, and automation.
• Excel (pivot tables, VLOOKUP, Power Query).
• Statistical analysis (regression, hypothesis testing).
• Data storytelling and presentation to executive audiences.
• Version control with Git for data pipelines.
• Understanding of CRM data structures, especially Salesforce.

Education

Bachelor’s degree in Data Science, Statistics, Economics, or a related quantitative field.

Benefits

• Competitive salary with annual performance bonuses.
• Comprehensive health, dental, and vision insurance packages.
• 401(k) plan with company match and generous paid time off.
• Continuous learning stipend for courses, conferences, and certifications.