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Sales Data Analyst Jobs (NOW HIRING)

Capstone Energy+, Inc.

Data Analyst

Los Angeles, CA · On-site

$85K - $105K/yr

Data Analyst Position Description Date Issued: June 2026 Department: Finance Reports to: VP of ... Partner with Finance, Operations, Sales, and Executive Leadership to define KPIs, metrics, and ...

Synectics Inc

Business Data Analyst

Houston, TX

$32/hr

This role is responsible for analyzing sales data, optimizing processes, and providing strategic ... The Sales Operations Analyst works closely with sales leadership, representatives, and cross ...

Geico

Sales Operations Data Analyst

Fredericksburg, VA · On-site

$73K - $141K/yr

Your Impact at GEICO The Data Analyst partners closely with business leaders to translate complex data into actionable insights that drive strategic and operational decision-making. This roleis ...

Geico

Sales Operations Data Analyst

$73K - $141K/yr

Your Impact at GEICO The Data Analyst partners closely with business leaders to translate complex data into actionable insights that drive strategic and operational decision-making. This roleis ...

GEICO

Sales Operations Data Analyst

Getzville, NY · On-site

$73K - $141K/yr

Your Impact at GEICO The Data Analyst partners closely with business leaders to translate complex data into actionable insights that drive strategic and operational decision-making. This role is ...

Geico

Sales Operations Data Analyst

Getzville, NY · On-site

$73K - $141K/yr

Your Impact at GEICO The Data Analyst partners closely with business leaders to translate complex data into actionable insights that drive strategic and operational decision-making. This roleis ...

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Sales DATA Analyst information

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How much do sales data analyst jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for sales data analyst in the United States is $33.44, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $42.31 per hour, depending on experience, location, and employer.

What does a sales data analyst do?

A Sales Data Analyst collects, processes, and analyzes sales data to help organizations make informed business decisions. They use statistical techniques and data visualization tools to identify sales trends, measure performance, and forecast future sales. Their insights help sales teams optimize strategies, set realistic targets, and improve overall revenue generation. Additionally, Sales Data Analysts often collaborate with other departments to ensure data accuracy and support broader business objectives.

How does a sales data analyst typically collaborate with sales and marketing teams to drive business growth?

As a Sales Data Analyst, you work closely with both sales and marketing teams to translate raw data into actionable insights. This often involves regular meetings to discuss sales trends, campaign performance, and customer behavior, enabling teams to adjust strategies in real time. You may also be responsible for creating dashboards, generating reports, and presenting findings to stakeholders, ensuring everyone has the data they need to make informed decisions. Effective collaboration not only improves team performance but also helps drive revenue growth and identify new market opportunities.

What are the key skills and qualifications needed to thrive as a sales data analyst, and why are they important?

To thrive as a Sales Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in business, mathematics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), advanced Excel skills, and experience with CRM or ERP systems are typically required. Excellent communication, problem-solving, and attention to detail help analysts translate complex data into actionable insights for sales teams. These skills are crucial to drive data-driven decision-making and optimize sales strategies for business growth.

What is the difference between Sales Data Analyst vs Sales Operations Analyst?

AspectSales Data AnalystSales Operations Analyst
Required CredentialsBachelor's in Business, Data Analytics, or related field; proficiency in Excel, SQL, BI toolsBachelor's in Business, Operations, or related; strong analytical and organizational skills
Work EnvironmentData-focused, analytical teams within sales or marketing departmentsOperational teams supporting sales processes and strategy
Employer & Industry UsageRetail, tech, manufacturing, and service industriesSame industries, often overlapping roles in sales support
Common Search & Comparison IntentUnderstanding data analysis roles in salesUnderstanding sales support and process roles

Sales Data Analysts focus on analyzing sales data to identify trends and insights, while Sales Operations Analysts support sales processes and optimize sales strategies. Both roles require analytical skills and often work within similar industries, but their core responsibilities differ—one emphasizes data analysis, the other sales support operations.

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Sales DATA Analyst jobs near you
Infographic showing various Sales Data Analyst job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 78% Physical, 1% Hybrid, and 21% Remote job distribution, with an average salary of $69,552 per year, or $33.4 per hour.

Data Analyst

Capstone Green Energy Holdings LLC

Van Nuys, CA • On-site

$85K - $105K/yr

Full-time

Re-posted 4 days ago

Job description

Data Analyst
Position Description
Date Issued:
June 2026
Department:
Finance
Reports to:
VP of Finance
Location:
Van Nuys, CA
Position Purpose:
We are seeking a highly analytical and detail-oriented Data Analyst to support data-driven decision-making across the organization. This role will be responsible for transforming raw data into actionable insights, developing dashboards and reports, and partnering cross-functionally to improve operational and financial performance. The ideal candidate combines strong technical skills with business acumen and the ability to clearly communicate findings to senior leadership. This is an on-site role.
DESTINATION STATEMENT Who we strive to be:
Who We Strive to Be: We will be the first choice when energy matters. Our bespoke solutions solve the energy trilemma of resiliency, sustainability, and affordability. We push boundaries, challenge norms, and drive change. We’re committed to making the impossible possible in the energy sector.
Safety: Our commitment to safety and security is uncompromised. At the end of each day, we are only successful when all associates can return home to their families in good wellness. Safety and security is at the heart of our advanced engineering that allows us to design, build and operate our units to do no harm.
Technology: We dare to innovate and are not afraid to fail. Our unique, stable inverter-based technology is at the forefront of the industry creating a seamless integration with our customers’ energy systems. We are a high precision power technology company.
Our Team: An intense zeal for excellence drives us. We are a collaborative team focused on building trust and engaging in healthy conflict to solve difficult problems quickly. Our sense of urgency ensures we meet both our own high standards and the evolving needs of our customers.
KEY RESPONSIBILITIES
Data Analysis amp; Reporting
  • Collect, validate, and analyze large datasets from multiple sources including ERP, CRM, and operational systems.
  • Develop dashboards and recurring reports using BI tools (e.g., Power BI, Tableau, Looker) to support Finance and cross-functional leadership.
  • Build and maintain queries and data models to support reporting accuracy, consistency, and scalability.
Insights amp; Decision Support
  • Identify trends, anomalies, and performance drivers; translate findings into clear, actionable recommendations for senior leadership.
  • Partner with Finance, Operations, Sales, and Executive Leadership to define KPIs, metrics, and reporting frameworks.
  • Support forecasting and scenario modeling through advanced analytics to inform strategic and operational decisions.
Process Improvement amp; Data Governance
  • Automate manual reporting processes to improve efficiency, reduce error risk, and free capacity for higher-value analysis.
  • Ensure data integrity, governance, and documentation standards are maintained across all reporting outputs.
QUALIFICATIONS
Education amp; Experience
  • Bachelor’s degree in Data Analytics, Statistics, Computer Science, Finance, Economics, or a related field.
  • 1–3 years of experience in data analytics, business intelligence, or a related role.
  • Demonstrated ability to translate complex data into clear, concise insights for non-technical stakeholders.
Skills amp; Abilities — Required
  • Advanced proficiency in Microsoft Excel required.
  • Experience with BI tools (Power BI, Tableau, or equivalent); ability to build and maintain production-ready dashboards.
  • Strong communication skills with the ability to present findings and recommendations to Finance leadership and cross-functional teams.
  • Analytical rigor and meticulous attention to detail; strong problem-solving capability.
  • Ability to manage multiple priorities simultaneously in a fast-paced environment.
  • Intellectual curiosity and a continuous process improvement mindset.
Skills amp; Abilities — Preferred
  • Experience working with ERP systems (NetSuite, SAP, Oracle, or similar) is a strong plus.
  • Familiarity with SQL or scripting languages (Python, R) for data extraction and transformation.
  • Background in a manufacturing, energy, or operationally complex environment.
WHAT SUCCESS LOOKS LIKE
  • Finance and operating leadership have reliable, trusted dashboards that reduce ad hoc reporting requests and accelerate decision-making.
  • Manual reporting processes have been identified, documented, and systematically automated — reducing cycle time and human error.
  • KPIs and performance metrics are clearly defined, consistently measured, and actively used across Finance, Operations, and Sales.
  • Data integrity and governance standards are in place and maintained, with documentation that supports audit and scalability.
  • The Data Analyst is recognized as a key analytical partner to the VP of Finance and broader leadership team.
WORK ENVIRONMENT
  • On-site at Capstone’s Van Nuys, CA headquarters; regular in-office presence required.
  • Collaborative, cross-functional environment with direct exposure to Finance, Operations, Sales, and Executive leadership.
  • Extended periods of sitting and computer use are typical for this role.
  • Willingness to work beyond a standard 40-hour workweek as driven by reporting cycles, close periods, or business needs.

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