1

Data Insights Jobs (NOW HIRING)

Establish metrics, create data visualizations and outline ETL needs * Extract, clean and engineer data for readiness and accuracy * Interpret information, develop hypotheses and recommend analytical ...

An Overview of This Role GitLab is seeking a VP of Data and Insights to lead the strategic vision, architecture, and execution of our enterprise data platform and analytics capabilities. Reporting to ...

... our Data & Analytics team in New York, NY or Washington, DC. This is a fantastic entry point for a curious, detail-oriented professional who wants to do meaningful intelligence and insights work ...

... Data & Analytics team in New York, NY or Washington, DC. This is a fantastic entry point for a curious, detail-oriented professional who wants to do meaningful intelligence and insights work ...

The Role Join our client as a Director of Data & Insights to be a pivotal member of the executive leadership team, driving large-scale digital transformation initiatives with a commitment to quality ...

next page

Showing results 1-20

Data Insights information

See salary details

$46K

$165K

$243.5K

How much do data insights jobs pay per year?

As of Jul 23, 2026, the average yearly pay for data insights 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 do data insights do?

Data insights professionals analyze large datasets to identify patterns, trends, and relationships that inform business decisions. They use tools like SQL, Excel, and data visualization software to interpret data and communicate findings to stakeholders effectively.

Is 40 too late for data science?

Data insights roles in data science do not have strict age limits, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or SQL, regardless of age. Continuous learning and practical experience are key factors for career advancement in this field.

How does a Data Insights professional typically collaborate with other departments to drive business decisions?

Data Insights professionals frequently work cross-functionally with teams such as marketing, sales, finance, and product development. They gather requirements, present findings through reports or dashboards, and participate in strategy discussions to ensure data-driven decisions. Effective communication and translating complex analytics into actionable recommendations are crucial, as is the ability to adapt analyses to the unique needs of each department. This collaborative environment not only supports organizational goals but also offers opportunities to broaden your business acumen and influence key outcomes.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace the need for human analysts. Data analysts will continue to be essential for interpreting complex data, providing insights, and making strategic decisions that require domain knowledge and critical thinking. Skills in data visualization, statistical analysis, and tools like SQL and Python remain valuable in this evolving field.

What is a Data Insights professional?

A Data Insights professional is responsible for analyzing data to uncover trends, patterns, and actionable information that can help organizations make informed business decisions. They use statistical methods, data visualization tools, and business intelligence platforms to interpret complex datasets and communicate findings to stakeholders. Their insights help businesses improve strategies, optimize processes, and identify opportunities for growth. Typically, Data Insights professionals work closely with data engineers, analysts, and business leaders to ensure data-driven decision-making.

Is data analytics a high paying job?

Data analytics is generally considered a well-paying field, especially for professionals with strong skills in statistical analysis, programming, and data visualization tools. Salaries tend to increase with experience, certifications, and specialization in areas like machine learning or big data. Overall, data analytics offers competitive compensation compared to many other entry- and mid-level roles in technology and business.

What are the key skills and qualifications needed to thrive as a Data Insights professional, and why are they important?

To thrive as a Data Insights professional, you need strong analytical skills, statistical knowledge, and a background in fields like mathematics, computer science, or data analytics. Proficiency in tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI is typically required. Excellent communication, problem-solving, and critical thinking skills help translate complex data findings into actionable business strategies. These abilities ensure that organizations can make data-driven decisions that improve performance and achieve objectives.

What is the difference between Data Insights vs Data Analyst?

AspectData InsightsData Analyst
Primary FocusExtracting strategic insights and supporting decision-makingCollecting, processing, and analyzing data to identify trends
Skills & ToolsData visualization, storytelling, business acumen, advanced analyticsStatistical analysis, SQL, Excel, data cleaning
Work EnvironmentBusiness teams, strategic planning, cross-functional projectsData teams, reporting, data management
Common CertificationsCertified Business Intelligence Professional, Tableau CertificationMicrosoft Certified Data Analyst, SQL certifications

Data Insights professionals focus on interpreting data to provide strategic recommendations, often working closely with business leaders. Data Analysts primarily handle data collection, cleaning, and analysis to identify patterns and trends. While both roles require analytical skills and familiarity with data tools, Data Insights emphasizes storytelling and decision support, whereas Data Analysts concentrate on data processing and reporting.

More about Data Insights jobs
What cities are hiring for Data Insights jobs? Cities with the most Data Insights job openings:
What are the most commonly searched types of Data Insights jobs? The most popular types of Data Insights jobs are:
What states have the most Data Insights jobs? States with the most job openings for Data Insights jobs include:
Infographic showing various Data Insights job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, 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.
Data Insights & Analytics Manager

Data Insights & Analytics Manager

UL Solutions

Northbrook, IL • Hybrid

$115K - $125K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


UL Solutions rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

23rd of 105 rated laboratories


Job description

The Data Insights & Analytics Manager sits within the Global Business Services (GBS) organization and plays a critical role in shaping and executing the data and analytics strategy. This role is responsible for transforming data into actionable insights that drive informed decision-making and measurable business outcomes across GBS.

As a leader, you will partner closely with cross-functional stakeholders to unlock the value of data, while building and fostering a strong data-driven culture. You will guide a team to translate complex datasets into clear, compelling narratives that resonate with audiences at all levels of the organization.

A key focus of this role is to proactively identify trends, opportunities, and risks through advanced analytics and insights. In parallel, you will collaborate with IT and data engineering teams to design and enhance the GBS data architecture, including supporting the migration and optimization of data within Snowflake.

This is a full-time, hybrid (3 days on-site) position located at our Northbrook, IL office (preferred) or Chicago, IL office with occasional travel to Northbrook (1 day a week)

A global leader in applied safety science, UL Solutions (NYSE: ULS) transforms safety, security and sustainability challenges into opportunities for customers in more than 110 countries. UL Solutions delivers testing, inspection and certification services, together with software products and advisory offerings, that support our customers' product innovation and business growth. The UL Mark serves as a recognized symbol of trust in our customers' products and reflects an unwavering commitment to advancing our safety mission. We help our customers innovate, launch new products and services, navigate global markets and complex supply chains, and grow sustainably and responsibly into the future. Our science is your advantage.

At the core of our expanding organization is our Finance team. We're a growing group of professionals, based around the world, who share ideas, work together and innovate to drive strategic growth and ensure nancial integrity. Whether you're an expert in taxes, treasury, accounting, nancial planning and analysis or corporate strategy and development, we're always looking for ambitious nance professionals who want to make an impact at a publicly traded company that's leading the way in safety science. Join our team, be part of our global community and drive the success of our mission-driven organization.
  • Bachelor's degree in Statistics, Mathematics, Computer Science, Information Technology, Data Management, Business Analytics, or other quantitative field. Master's degree preferred. 
  • Minimum of 5 years of experience in data management, governance, or analytics roles. 
  • At least 1 to 2 years of experience in a leadership or management capacity. 
  • Proficiency in data analysis and programming languages (SQL, Python, etc.). 
  • Expertise with BI and data visualization tools (Tableau, Power BI). 
  • Hands-on experience with Snowflakes and ML modeling. 
  • Solid experience as a lead or participant in cross-functional or global projects, or experience working in multiple functions or regions.
  • Strong analytical, problem-solving, and leadership skills. 
  • Strong customer service mindset 
  • Excellent verbal and written communication skills.
  • Knowledge of order to Cash, Invoice to Pay, and Travel is preferred. 

Total Rewards: We understand compensation is an important factor as you consider the next step in your career. The estimated salary range for this position is $115,400 to $125,000 and is based on multiple factors, including job-related knowledge/skills, experience, geographical location, as well as other factors. This position is eligible for annual bonus compensation with a target payout of 20% of the base salary. This position also provides health benefits such as medical, dental and vision; wellness benefits such as mental and financial health; and retirement savings (401K) commensurate with the standard rewards offered in each individual location or country. We also provide full-time employees with paid time off including vacation (15 days), Holidays (9 days), Personal days (3 days) and sick time off (72 hours).

#LI-SM3

#LI-Hybrid

  • Partner with senior leadership and cross-functional stakeholders (including Finance and Operations) to align analytics initiatives with strategic priorities.
  • Oversee the translation of business needs into scalable data and analytics solutions, deliver data-driven insights using advanced modeling and forecasting techniques, and serve as a trusted advisor to influence decision-making across the organization.
  • Lead the end-to-end delivery of analytics by transforming financial and operational data (including AP, AR, Payroll, T&E, Sustainability, and Working Capital) into actionable insights that drive performance, identify risks, and uncover opportunities.
  • Oversee the development and application of advanced analytics, including predictive modeling and machine learning (ML), to forecast key business KPIs, ensuring solutions are accurate, interpretable, and aligned with business needs.
  • Own and evolve the reporting and analytics ecosystem, including scalable Power BI dashboards and data models integrated with Snowflake and enterprise systems, while driving automation and efficiency through tools such as Python and Power Automate.
  • Establish and enforce strong data governance standards to ensure the quality, integrity, and reliability of financial and operational data, while guiding data architecture and system enhancements to support scalability.
  • Drive continuous advancement of analytics capabilities by evaluating and adopting emerging tools, technologies, and methodologies, and enabling the team to deliver greater business value.
  • Lead and develop a global team of Business Data Analysts, driving prioritization, issue resolution, and the consistent delivery of analytics that create measurable business impact.
  • Build and reinforce a culture of accountability and continuous improvement, establishing clear quality standards to ensure the accuracy and reliability of all analytics outputs.
  • Read and follow the Underwriters Laboratories Code of Conduct, and follow all physical and digital security practices.
  • Performs other duties as directed.

What UL Solutions employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom