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Entry Level Sales Data Analyst Jobs (NOW HIRING)

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Sales Data Analyst

Selah, WA · On-site

$70K - $80K/yr

The Sales Data Analyst is responsible for identifying, understanding, and combining data sources and analytical techniques to empower the sales team and leaders with data driven actionable insights ...

Tree Top

Sales Data Analyst

Selah, WA

$70K - $80K/yr

The Sales Data Analyst is responsible for identifying, understanding, and combining data sources and analytical techniques to empower the sales team and leaders with data driven actionable insights ...

Tree Top

Sales Data Analyst

Selah, WA · On-site

$70K - $80K/yr

The Sales Data Analyst is responsible for identifying, understanding, and combining data sources and analytical techniques to empower the sales team and leaders with data driven actionable insights ...

Navitas Semiconductor

Sales Ops Data Analyst In Office /Remote: /Hybrid Exempt / Non-exempt Based: Manila, Philippines Job Purpose: Navitas Semiconductor (Nasdaq: NVTS) is a next-generation power semiconductor leader ...

PSRTEK

Data Analyst at Atlanta, GA

Atlanta, GA · On-site

Understanding of healthcare data such as claims data, sales data, pharmacy sales data etc. * Hands-on experience in data aggregation and analysis using Python, SQL or similar * Prior experience with ...

Crouch Staffing Solutions, Inc.

Data Analyst

Waco, TX · Hybrid

$70K/yr

Partner with accounting, operations, purchasing, inventory, sales, and leadership teams to provide accurate and timely data analysis. * Identify data discrepancies, reporting errors, duplicate ...

AaraTechnologies Inc

DATA ANALYST

Virginia Beach, VA · On-site

This role involves analyzing sales and transaction data, building dashboards, and supporting KPI reporting. You will work closely with business teams to enable data-driven decisions. Ideal for early ...

AaraTechnologies Inc

DATA ANALYST

Jersey City, NJ · On-site

This role involves analyzing sales and transaction data, building dashboards, and supporting KPI reporting. You will work closely with business teams to enable data-driven decisions. Ideal for early ...

NAVA Software Solutions

Sr. Data Analyst

San Francisco, CA · On-site

$101K - $127K/yr

Very analytical and ideally has a strong foundational knowledge in channel or sales management and can quickly identify trends and can synthesize data into meaningful, consumable information that can ...

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Entry Level Sales Data Analyst information

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How much do entry level sales data analyst jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for entry level 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 types of projects or tasks can I expect to work on as an Entry Level Sales Data Analyst?

As an Entry Level Sales Data Analyst, you'll typically be responsible for gathering, cleaning, and analyzing sales data to identify trends and support business decisions. You may work on projects like preparing regular sales performance reports, assisting in forecasting sales, or helping to design dashboards for tracking key metrics. Collaboration with sales, marketing, and finance teams is common to ensure data accuracy and provide actionable insights. You'll also have opportunities to learn about different analytical tools and develop your skills through on-the-job training and mentorship from more experienced analysts.

What are the key skills and qualifications needed to thrive as an Entry Level Sales Data Analyst, and why are they important?

To thrive as an Entry Level Sales Data Analyst, you typically need a bachelor’s degree in a quantitative field, strong analytical skills, and a solid grasp of statistics and data interpretation. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is often required. Attention to detail, problem-solving abilities, and effective communication are soft skills that help analysts interpret data and share insights with sales teams. These skills are crucial for accurately analyzing sales trends, supporting data-driven decision-making, and driving business growth.

What is an Entry Level Sales Data Analyst?

An Entry Level Sales Data Analyst is a professional who uses data analysis techniques to help sales teams make informed decisions. They collect, organize, and analyze sales data to identify trends, measure performance, and provide actionable insights. This role typically involves working with spreadsheets, databases, and data visualization tools. Entry level positions are suited for recent graduates or those new to the field, often requiring strong analytical skills and a basic understanding of sales processes.
What cities are hiring for Entry Level Sales Data Analyst jobs? Cities with the most Entry Level Sales Data Analyst job openings:
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What job categories do people searching Entry Level Sales Data Analyst jobs look for? The top searched job categories for Entry Level Sales Data Analyst jobs are:
Entry Level Sales Data Analyst jobs near you
Infographic showing various Entry Level Sales Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $69,552 per year, or $33.4 per hour.
Sales Data Analyst

Sales Data Analyst

Mobile Communications America Inc

Arlington, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Mobile Communications America rating

8.3

Company rating: 8.3 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

12th of 83 rated telecommunications companies

Job description

Mobile Communications America, Inc., a leader in wireless communications, data, and security solutions is seeking a data-driven Sales Data Analyst to join the Sales Strategy & Operations team within our Central Division. This position needs to be located within our footprint of Dallas, TX; Indianapolis, IN; Charlotte, NC; or Spartanburg, SC. This role turns sales data into decision-ready insight — building and improving the forecasting, pipeline, and performance analytics that guide how the business sells. The ideal candidate pairs strong quantitative and statistical skills with commercial fluency, and is comfortable working independently to translate complex data into clear, actionable recommendations for sales leadership.

KEY RESPONSIBILITIES:

Forecasting & Predictive Analytics

  • Measure and report forecast accuracy across teams, segments, and time horizons, identifying drivers of variance and recommending methodology improvements.
  • Develop, test, and maintain forecast weighting algorithms that translate pipeline stage, deal age, and historical conversion into reliable predictions.
  • Apply regression and other statistical methods to quoted and won/lost activity to surface the factors that most influence close rates and deal velocity.
  • Partner with sales leadership to refine forecasting methodology and strengthen commit and upside discipline.

Pipeline & Funnel Analytics

  • Assess funnel sufficiency against quota and coverage targets, flagging gaps in pipeline volume, velocity, or conversion early enough to act.
  • Analyze stage-to-stage conversion, sales cycle length, and win rates across divisions, segments, and reps to identify performance trends.
  • Quantify pipeline health and recommend where to focus pipeline-generation and deal-progression efforts.

Reporting & Visualization

  • Build and maintain Tableau dashboards, scorecards, and recurring reporting that give sales leaders a clear, current view of performance.
  • Translate analysis into concise, executive-ready narratives and visualizations that drive decisions rather than simply describe data.
  • Leverage automation and AI tools to streamline data preparation, reporting, and analysis — reducing manual effort, accelerating turnaround, and improving consistency.
  • Identify opportunities to apply AI and automation to recurring analytical and reporting workflows, and help bring those improvements into production.

Data Management & Cross-Functional Partnership

  • Source, validate, and reconcile sales data across CRM (HubSpot, NetSuite) and ERP (NetSuite, Ormandy) systems to ensure analyses rest on accurate, trusted data.
  • Partner with Sales Operations, Finance, and divisional leaders to align on definitions, metrics, and reporting standards.
  • Identify and resolve data quality issues, and recommend improvements to data capture and process.

WHAT YOU WILL BRING TO THE TEAM:

Education & Experience

  • Bachelor's degree in a quantitative or analytical field (Statistics, Economics, Finance, Data Analytics, Business, or related); equivalent experience considered.
  • Approximately 3 years of experience in sales, revenue, or business data analysis, including hands-on forecasting and pipeline analytics.
  • Demonstrated experience applying statistical methods such as regression to commercial or sales data.

Knowledge & Skills

  • Strong proficiency in Excel and SQL for data extraction, modeling, and analysis.
  • Proven experience building dashboards and reports in Tableau (primary tool); experience with other BI platforms a plus.
  • Working knowledge of sales forecasting methodologies, funnel and pipeline metrics, and sales performance KPIs.
  • Solid statistical foundation — regression, correlation, trend, and variance analysis — with the judgment to match the method to the question.
  • Familiarity with CRM (HubSpot, NetSuite) and ERP (NetSuite, Ormandy) data structures.
  • Demonstrated use of automation and AI tools (e.g., scripting, workflow automation, or AI-assisted analysis) to improve the speed, quality, or scale of analytical work.
  • Excellent communication skills, with the ability to translate technical analysis into clear recommendations for non-technical sales leaders.
  • Strong attention to detail, intellectual curiosity, and the ability to manage multiple priorities independently.
  • Experience in technology, telecom, or services/reseller environments preferred; exposure to Python or R a plus.

TRAVEL REQUIREMENTS:

Less than 10% travel.

DIRECT REPORTS:

No Direct Reports

WHO WE ARE:

Mobile Communications America, Inc. (MCA) provides wireless communication, data, and security solutions that enhance workplace safety, security, and efficiency nationwide. Customers trust us to provide a portfolio of turn-key systems, products, and services — including two-way radio communications, vehicle uplift, security video and access control systems, BDA/DAS, remote monitoring, GPS tracking, SCADA, dispatch, mass notification, and point-to-point wireless networks. Our more than 60,000 customers span industries such as public safety, commercial, manufacturing, education, healthcare, utilities, and government. In addition to being the largest Motorola partner in the U.S., MCA has strategic partnerships with over 1,000 major manufacturers to offer an extensive portfolio of products and technologies.

WHAT WE BELIEVE:

We are better together through the MCA Way: living our core values of Service First, Growth, Teamwork, and Safety. We take our work and customers seriously and believe our best work can be fun. A component of our business that embodies the MCA advantage is our “Service First DNA” culture. Service isn’t just a motto for MCA, it’s an integral part of who we are and goes beyond our customers to our employees, partners, shareholders, and communities.

NOTE: The above statements describe the general nature and level of work performed by the person assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, skills, and physical demands required of personnel so classified. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Mobile Communications America, Inc. is proud to be an Equal Opportunity workplace and is an Affirmative Action employer. We are committed to creating an inclusive environment that celebrates diversity. At MCA, we are “better together.”


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