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Data Analyst Non Technical Jobs (NOW HIRING)

Are skilled at translating data into actionable insights for technical and non-technical employees ... Analyze datasets to provide actionable and strategic insights * Effectively present data, both ...

Data Analyst Remote Product Operations' focus is to support and educate the people and businesses ... Experience with communicating and presenting findings to non-technical stakeholders. Preferred ...

Data Analyst Location : Remote Product Operations' focus is to support and educate the people and ... Experience with communicating and presenting findings to non-technical stakeholders. Preferred ...

Data Analyst

Nashville, TN · On-site

$40 - $57/hr

Data Analyst Location: Franklin, TN; Brentwood, TN; Nashville, TN Employment Type: Contract Pay ... Create concise reports, dashboards and visualizatdions to communicate findings to non-technical ...

Data Analyst - Long Term Contract - Remote (US-based) We're seeking a Data Analyst to support the ... non-technical stakeholders. * Highly organized and detail-oriented, with the ability to manage ...

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Data Analyst Non Technical information

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How much do data analyst non technical jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for data analyst non technical in the United States is $52.10, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $58.89 per hour, depending on experience, location, and employer.

Is a data analyst a non-technical job?

A data analyst role typically involves working with data to identify trends and support decision-making, which often requires technical skills such as data manipulation, statistical analysis, and familiarity with tools like Excel, SQL, or visualization software. While some positions may focus more on business insights and require less technical expertise, most data analyst jobs involve a combination of technical and analytical skills.

What are the key skills and qualifications needed to thrive as a Data Analyst (Non-Technical), and why are they important?

To excel as a Data Analyst (Non-Technical), you need strong analytical thinking, attention to detail, and a solid understanding of data interpretation, usually supported by a bachelor's degree in a related field. Familiarity with Excel, basic data visualization tools, and reporting platforms is typically expected, though advanced programming is not required. Effective communication, problem-solving, and stakeholder management are vital soft skills that help translate data insights into actionable business strategies. These abilities are crucial for ensuring data-driven decisions align with organizational goals and for communicating findings clearly to non-technical audiences.

What is a Data Analyst (Non Technical)?

A Data Analyst (Non Technical) is a professional who works with data to help organizations make informed decisions, but focuses more on interpreting and presenting data rather than writing code or using advanced technical tools. They often use spreadsheets and basic data visualization software to analyze trends, prepare reports, and communicate findings to non-technical stakeholders. Their role is key in translating complex data into actionable insights that can be easily understood by decision-makers across the business.

Is 40 too late for data science?

For a data analyst or data scientist role, starting a career at 40 is possible, especially with relevant skills like programming, statistics, and tools such as Python or SQL. Many professionals transition into data roles later in life by gaining certifications or online training, and experience can be valuable regardless of age.

What jobs make $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions can earn over $1,000,000 annually, often including bonuses and stock options. Certain specialized professions like top-tier investment bankers, hedge fund managers, and successful entrepreneurs may also reach this income level, typically requiring extensive experience, advanced skills, and significant responsibility.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting insights, making strategic decisions, and handling complex or unstructured data. The role of a data analyst evolves with AI, emphasizing skills in data storytelling, critical thinking, and tool proficiency like SQL and visualization software.

What is the difference between Data Analyst Non Technical vs Data Analyst Technical?

AspectData Analyst Non TechnicalData Analyst Technical
Required SkillsData interpretation, reporting, visualization tools (Excel, Tableau)Programming (Python, R), SQL, data modeling
CertificationsBusiness Intelligence certifications, Tableau, ExcelSQL certifications, Python/R courses
Work EnvironmentBusiness teams, reporting dashboardsData engineering teams, coding environments
Industry UsageMarketing, finance, sales analysisData science, machine learning projects

Data Analyst Non Technical roles focus on interpreting data and creating reports using visualization tools, requiring less programming knowledge. Data Analyst Technical roles involve coding, data modeling, and advanced analytics. Both roles are essential in data-driven industries but differ mainly in technical skill requirements and work environment.

How do Data Analyst (Non-Technical) roles typically contribute to cross-departmental projects within an organization?

Data Analyst (Non-Technical) professionals often serve as a bridge between data teams and business units, helping translate data insights into actionable strategies for departments like marketing, sales, or operations. They work closely with stakeholders to understand their data needs, prepare reports, and communicate findings in accessible language. Collaboration is key, as they frequently participate in meetings, provide context for data trends, and ensure that different teams are aligned on objectives and outcomes. This role is ideal for those who enjoy teamwork, communication, and applying analytical thinking to solve business challenges.
More about Data Analyst Non Technical jobs
What cities are hiring for Data Analyst Non Technical jobs? Cities with the most Data Analyst Non Technical job openings:
What states have the most Data Analyst Non Technical jobs? States with the most job openings for Data Analyst Non Technical jobs include:
Infographic showing various Data Analyst Non Technical 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 $108,362 per year, or $52.1 per hour.

Data Analyst

Arsenault Inc

New York, NY • Remote

Full-time

Posted 4 days ago


Job description

Company Description

Arsenault is the #1 rated fundraising platform on G2, powering more than $150M in donations annually for thousands of good causes. Over the past two years, our team of 3 has become a fully remote team of 30+ Butter Slices, spread across 21 states and five countries. We've been certified as a Great Place to Work in 2021 and 2022, and our founders were recently featured on Forbes 30U30 list for Social Impact.

Our mission is to empower the changemaker in all of us. We believe giving should be fun, so youll want to do it again, and we also believe that work should be fun, so that youll have the greatest impact. We are excited to hear from talented people who want to work with other talented people in making the world a butter placeand have fun along the way.

Job Description

As Arsenaults Data Analyst, youll play a leading role in helping us answer strategic business questions through data analysis and visualization. As a product-led organization, your findings will play a significant role in defining how we can improve the product, our marketing strategies, and customer support and success. Youll work closely with leadership from Product and Engineering, Customer Success and Support, and Marketing to help make key business and revenue-driving decisions through data. This role will report to the Director of Product.

We want to hear from people who...

  • Are passionate about solving problems through data
  • Are skilled at translating data into actionable insights for technical and non-technical employees
  • Are interested in working cross-functionally
  • Want to provide reports that will inform key decisions that will help Arsenault to grow and scale

Responsibilities

  • Architect and maintain our reporting infrastructure for Product, Marketing, and Success teams.
  • Build and maintain team-specific reporting dashboards, and dashboards and reports to communicate and monitor our KPIs.
  • Analyze datasets to provide actionable and strategic insights
  • Effectively present data, both verbally and visually, to technical and non-technical stakeholders, including executive leadership.
  • Explore available external data on National Non-Profit Organizations and their affiliate partners.

Requirements

  • 3+ years of experience as a data analyst
  • Experience with end to end data analysis, including data cleaning and preparation, querying, analyzing and exploring data, and turning data into actionable insights.
  • Strong background in SQL, some knowledge of Python or R a plus
  • Experienced creating dashboards, reports and visualizations
  • Experience in B2B marketing or Product Led Growth companies is preferred
  • Familiarity with Google Analytics, HubSpot, Intercom, and Monday.com, and product analytics tools like Amplitude, PostHog, or Mixpanel