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Data Driven Jobs (NOW HIRING)

Data Machines

Data Engineer with Security Clearance

Reston, VA · On-site

$119K - $143K/yr

Come join the future of data-driven decision making! At Data Machines we leverage data analytics, DevSecOps, machine intelligence, and data science to engineer solutions for our Federal government ...

Siri InfoSolutions Inc

Data Engineer

San Antonio, TX · On-site

$89K/yr

Analyze enterprise data sets using statistical techniques and data modelling methods to support business intelligence, predictive analytics, and data-driven decision making. Develop and implement ...

Hercules Industries, Inc.

Data Scientist

Denver, CO

$98K - $113K/yr

Drive enterprise performance by translating complex business challenges into data-driven solutions that improve decision-making, optimize operations, and enable scalable, sustainable competitive ...

Hercules Industries, Inc.

Data Scientist

Denver, CO

$98K - $113K/yr

Drive enterprise performance by translating complex business challenges into data-driven solutions that improve decision-making, optimize operations, and enable scalable, sustainable competitive ...

Hercules Industries, Inc.

Data Scientist

Denver, CO · On-site

$98K - $113K/yr

Drive enterprise performance by translating complex business challenges into data-driven solutions that improve decision-making, optimize operations, and enable scalable, sustainable competitive ...

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How much do data driven jobs pay per year?

As of Jun 29, 2026, the average yearly pay for data driven in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a Data Driven job?

A Data Driven job involves using data insights to guide decision-making, strategy, and operations. Professionals in these roles analyze, interpret, and apply data to improve business outcomes, optimize processes, and identify trends. Common positions include data analysts, business intelligence specialists, and data scientists. These roles require skills in data analysis, visualization, and often programming languages like SQL and Python.

What does a typical day look like for someone in a Data Driven role?

A typical day in a Data Driven role often involves collecting, cleaning, and analyzing large data sets to identify patterns and trends relevant to business objectives. You may work closely with cross-functional teams, such as marketing, product, or operations, to support their decision-making with data-backed insights. Responsibilities can include building dashboards, running data visualizations, presenting findings to stakeholders, and suggesting actionable strategies. The work is dynamic and requires both independent analysis and collaboration, offering continuous opportunities to learn and influence key business outcomes.

What jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior executives (CEOs, CFOs, COOs), successful entrepreneurs, and certain specialized medical professionals can earn $500,000 or more annually. Data-driven roles like chief data officers or senior data science executives in large corporations may also reach this level, especially with bonuses and stock options. These positions typically require extensive experience, advanced skills, and often leadership responsibilities.

What jobs pay 200,000 a year in the USA?

Data-driven roles such as data scientists, data engineers, and machine learning engineers can earn $200,000 or more annually, especially with experience, advanced skills in programming, statistics, and tools like Python, R, or cloud platforms. Senior positions in finance, technology, and consulting firms also frequently reach or exceed this salary level.

What profession makes $400,000 a year?

In the field of data-driven roles, senior data scientists, data engineers, and analytics executives can earn $400,000 or more annually, especially with extensive experience, advanced skills in machine learning, and leadership responsibilities. High-level positions often require advanced degrees, certifications, and proficiency with tools like Python, R, and cloud platforms.

Is 40 too late for data science?

Data science is a field open to professionals of all ages, and many successful data scientists start or transition into the role later in their careers. Skills in programming, statistics, and data analysis are more important than age, and continuous learning through online courses and certifications can help late entrants build relevant expertise.

What are the key skills and qualifications needed to thrive in the Data Driven position, and why are they important?

To thrive in a Data Driven role, you need strong analytical thinking, data interpretation skills, and a solid background in statistics, computer science, or a related field. Familiarity with data analytics tools (such as SQL, Python, R, or Tableau) and relevant certifications in data analysis or business intelligence are highly beneficial. Effective communication, problem-solving, and collaboration skills help you translate data insights into actionable business recommendations. These competencies are crucial for transforming raw data into strategic decisions that drive organizational success.

More about Data Driven jobs
What cities are hiring for Data Driven jobs? Cities with the most Data Driven job openings:
What states have the most Data Driven jobs? States with the most job openings for Data Driven jobs include:
What job categories do people searching Data Driven jobs look for? The top searched job categories for Data Driven jobs are:
Data Driven jobs near you
Infographic showing various Data Driven job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Sales Operations Coordinator (Data-Driven | High Accountability)

Closet Factory of San Carlos, CA

San Carlos, CA • On-site

Other

Posted 21 days ago

Job description

Overview

We are seeking a highly detail-driven, data-oriented Sales Operations Coordinator to support a fast-paced sales team of 25+ designers in the home services space.

This role is the backbone of our sales organization—responsible for tracking performance, enforcing process discipline, and driving accountability through Salesforce.

If you’ve worked in home improvement, in-home sales, or a service-based business using Salesforce, you’ll have a major advantage.

What You’ll Own

Salesforce Performance Tracking (Daily)

  • Track leads, contacts, and opportunities across the pipeline
  • Monitor appointments set, completed, and converted
  • Report on close rates, revenue, and average ticket
    You will own visibility inside Salesforce

Dashboards, Reports & Scorecards

  • Build and maintain Salesforce reports and dashboards
  • Create daily/weekly performance scorecards by designer
  • Track monthly targets vs actual performance
    Leadership relies on your data to make decisions

Lead Flow & Speed-to-Lead Monitoring

  • Ensure new leads are assigned and contacted quickly
  • Monitor response times and follow-up activity
  • Identify gaps in pipeline movement
    Speed and follow-up directly impact revenue

Pipeline & Conversion Analysis

  • Identify bottlenecks (low appointments, aging opportunities, low close rates)
  • Flag underperforming designers or missed opportunities
    You catch problems before they cost money

Sales Team & Leadership Support

  • Prepare reports for weekly sales meetings
  • Support Sales Managers with clean, actionable data
  • Help drive accountability across the team
    You make the sales team sharper and more effective

CRM Discipline & Process Enforcement

  • Ensure Salesforce is consistently and accurately updated
  • Standardize how designers manage opportunities
  • Clean up bad data and enforce process compliance
    No shortcuts—data integrity matters here
What Success Looks Like
  • Real-time visibility into every designer’s performance
  • Faster lead response times and improved follow-up
  • Higher conversion rates without increasing lead volume
  • Clean, reliable Salesforce data
  • A culture of accountability across the sales team
The Role (Important Distinction)
  • Sales Manager = Coach & Leader
  • This Role = Tracker, Enforcer, Analyst (inside Salesforce)

You are not selling—you are making sure the team performs.

Required Experience (This Matters)
  • Experience working in Salesforce (reports, dashboards, pipeline tracking)
  • Background in home services, home improvement, or in-home sales (highly preferred)
  • Experience supporting a sales team with lead flow + appointment-based selling
Core Skills
  • Strong analytical and data management skills
  • Advanced Excel / Google Sheets (pivot tables, reporting)
  • High attention to detail and process discipline
  • Ability to manage multiple priorities in a fast-paced environment
  • Strong communication and follow-up
Who Will Succeed Here
  • Comfortable holding a sales team accountable
  • Obsessed with clean data and accurate reporting
  • Proactive—doesn’t wait to be told what’s wrong
  • Understands how leads turn into revenue in a service business
Who Will NOT Be a Fit
  • Looking for a passive admin role
  • Avoids data, metrics, or accountability
  • No experience with CRM systems (especially Salesforce)

Apply