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Analytics Jobs (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$80K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a ...

NuView Analytics

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional data science. Our clients are growth ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$65K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

Company Overview Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports data products. We believe that oddsmaking is a challenge rooted ...

Clearwater Analytics

Implementation Analyst

Boise, ID · On-site

Implementation Analysts are responsible for aiding the onboarding process for new clients onto the company's SaaS platform and service model. They collaborate with both clients and various Clearwater ...

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a ...

Clearwater Analytics

Technical Data Analyst

Boise, ID · On-site

Bachelor's degree in data analytics, statistics, accounting, computer science, or related discipline. * 5+ years of relevant experience in data analytics, reporting, and visualization. * Hands-on ...

Stamford Health

Manager, Analytics

Stamford, CT · On-site

Manager, Analytics The Manager, Analytics plays a pivotal role in strengthening the organization's business intelligence and analytic capabilities, ensuring highquality, datadriven decisionmaking ...

Arcadia

Director, Analytics

This role reports directly to the VP of Analytics and operates as the highest-level analytic authority on our productionalized analytics engines and dashboards; driving methodological rigor ...

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Analytics information

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$64.5K

$125.3K

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How much do analytics jobs pay per year?

As of Jul 10, 2026, the average yearly pay for analytics in the United States is $125,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $149,000.00 per year, depending on experience, location, and employer.

What is analytics and what do analytics professionals do?

Analytics refers to the systematic computational analysis of data or statistics to discover, interpret, and communicate meaningful patterns and trends. Analytics professionals collect, process, and analyze data to help organizations make informed decisions, solve problems, and optimize performance. They may use statistical methods, data visualization, and predictive modeling in various industries such as business, healthcare, finance, and technology. Their work often involves working with large datasets, using specialized software tools, and translating complex findings into actionable insights for decision-makers.

Is data analytics well paid?

Data analytics is generally a well-paid field, with salaries often higher than average for entry-level roles and increasing with experience, skills, and certifications in tools like SQL, Python, or Tableau. Compensation varies by industry, location, and company size, but overall, data analysts and related roles tend to offer competitive salaries.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types based on their focus: business analysts, who interpret data to inform business decisions; operations analysts, who optimize processes; financial analysts, who analyze financial data; and marketing analysts, who evaluate marketing campaigns and customer data. Each type requires specific skills and tools, such as SQL, Excel, and data visualization software, to perform their roles effectively.

How do analytics professionals typically collaborate with other departments to drive business decisions?

Analytics professionals often work closely with departments like marketing, product development, finance, and operations to translate data insights into actionable strategies. They may attend cross-functional meetings, present findings, and help define metrics for success. Collaboration is key, as analytics teams must understand each department’s goals and challenges to provide relevant, impactful analysis. Strong communication skills are essential to ensure data-driven recommendations are clearly understood and implemented by non-technical stakeholders.

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

To thrive in Analytics, you need strong quantitative skills, proficiency in data analysis, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI—as well as relevant certifications—are commonly required. Critical thinking, attention to detail, and effective communication help translate complex data insights into actionable business strategies. These skills are crucial for extracting meaningful information from data, driving informed decisions, and delivering measurable value to organizations.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, providing insights, and making strategic decisions. The role is evolving to include skills in machine learning, data visualization, and domain expertise, making human judgment still vital in the analytics field.

What is the difference between Analytics vs Data Analyst?

AspectAnalyticsData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; certifications like Google Data AnalyticsDegree in data science, statistics, or related; similar certifications
Work EnvironmentBusiness intelligence teams, data departments, consulting firmsCorporate, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed across industries for strategic insightsCommonly employed for data interpretation and reporting
Search & Comparison IntentUnderstanding roles, skills, and career paths in analyticsClarifying job responsibilities and skills of data analysts

Analytics and Data Analysts often work closely but focus on different aspects. Analytics involves broader strategic analysis and decision-making, while Data Analysts focus on interpreting data and creating reports. Both roles require similar skills and credentials, but their scope and responsibilities differ based on organizational needs.

Is 40 too late for data science?

The analytics field, including data science, values skills and experience over age; many professionals transition into data science later in their careers. Gaining proficiency in programming languages like Python or R, along with statistical knowledge and relevant certifications, can help late entrants succeed. Age is less a barrier than acquiring the necessary technical skills and building a strong portfolio.
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What job categories do people searching Analytics jobs look for? The top searched job categories for Analytics jobs are:
Analytics jobs near you
Consultant, Marketing Science Analytics

Consultant, Marketing Science Analytics

Analytic Partners

Charlottesville, VA • Hybrid

Other

Re-posted 3 days ago

Job description

Analytic Partners is a global leader in commercial measurement and optimization, turning data into expertise for the world's largest brands for almost 25 years.
 
Our holistic approach to decisioning is powered by our industry-leading platform and team of experts, who help leaders make better decisions, faster - unlocking business growth and creating powerful customer connections.
 
With clients in 50+ countries and global offices across New York City, Miami, Dallas, Dublin, London, Paris, Singapore, Shanghai, Munich, Sydney, Melbourne, Charlottesville and Denver, we're growing fast. And we're looking for top talent to join us in shaping the future of analytics.
 
To learn more about what we do, visit analyticpartners.com - and see why we're recognized as a Leader in the industry by independent research firms Forrester and Gartner.
 
What you'll be doing:
  • Lead multiple customer engagements day-to-day, in collaboration with CET leadership, to help  customers make optimal investment decisions based on the combination of our proprietary technology and advisory services.
  • Manage customer delivery: align project timelines, manage key customer communication, manage tasks and goals of other team members, ensure deliverables are of high quality and meet project deadlines.
  • Accountable for driving the most efficient data collection process with customers and build cutting edge statistical/econometric models.
  • Build strong relationships with customers understand their business objectives and deliver presentations with actionable insights and recommendations to drive impact and long-term partnerships.
  • Act as point of contact for customer projects, being able to address ad-hoc client requests and questions about data, models, software, etc.
  • Collaborate with leadership to balance project resources across teams and support in managing towards revenue targets.
  • Train and coach new & existing team members, providing feedback and guidance in the moment during daily work.
What we look for in you:
  • Bachelor's degree or above (ideal areas of study/related study including: Business Analytics and Management, Economics, Statistics, Mathematics, and/or Marketing)
  • 5+ years of experience with any combination of advanced and predictive analytics, marketing analytics, and analytic techniques for marketing, customer, and business applications
  • Strong working knowledge of Microsoft PowerPoint and Excel
  • Professional experience working with big data; building and optimizing 'big data' data pipelines, architectures, and data sets, to deliver marketing and business strategy for companies as a consultant and or as an internal marketing, business/customer insights on the client side
  • Project management experience using data to solve complex business questions and drive business solutions, demonstrating an awareness of broader business impacts
  • Experience collaborating across functions and with leaders to capture outside perspectives and leverage internal knowledge.
  • Demonstrates ability to innovate and enhance processes through the utilization of new technologies and knowledge.
  • Ability to apply marketing and commercial intelligence concepts for business success.
Our Leadership Values For Consultants & Company Culture:
  • Results Driven  Firmly understands business risks and links them to decision making
  • Effective Communication Utilizes data to tell a story and not just present facts
  • Accountability & Integrity Works to clear roadblocks to allow for better team performance when an obstacle is identified
  • Creative Collaboration Collaborates upward and actively works to bring in outside perspectives
  • Harnessing Innovation Technifies existing practices by leveraging knowledge and innovative solutions        
Our differentiator is - Our People!  We hire the brightest talent and develop them into leaders. We foster a culture of PEOPLE, PASSION and GROWTH.  
People: We value our people, customers, and partners
Passion: We love what we do
Growth: Unlimited growth means unlimited potential
 
AP is a customer-focused, team-oriented organization where innovation and results are rewarded, and individuals can chart the course of their own careers.
 
As a woman founded and led company, this has meant supporting a meritocracy where everyone has opportunities to achieve their best and ensure we foster an environment of diversity, equity, and inclusion. In practice this means we will not only work to recruit a diverse workforce, but also maximize the full potential of all of our people. You can read more about our commitment to DEI here
 
Additionally, Analytic Partners participates in the E-Verify program in certain locations, as required by law.
 
 
#LI-Hybrid
 
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