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Analytics Jobs (NOW HIRING)

Arcana Analytics

Analyst

New York, NY · On-site

Collaborate with product, engineering, and data science teams to build robust portfolio intelligence tools and analytics components * Analyze portfolio- and security-level performance, risk, and ...

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 ...

Arcadia

Lead Analyst, Analytics

Concord, NC · Remote

$145K - $170K/yr

Be owner of at least one Analytics Engine (risk, medecon, episodes, etc.) while contributing to others In 12 months * Serve as a company-wide expert on healthcare analytics and an architect of ...

Swish Analytics

Trading Analyst

San Francisco, CA

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 ...

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 ...

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How much do analytics jobs pay per year?

As of Jul 14, 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.
More about Analytics jobs
What cities are hiring for Analytics jobs? Cities with the most Analytics job openings:
What are the most commonly searched types of Analytics jobs? The most popular types of Analytics jobs are:
What states have the most Analytics jobs? States with the most job openings for Analytics jobs include:
What job categories do people searching Analytics jobs look for? The top searched job categories for Analytics jobs are:
Analytics jobs near you
Client Partner/ Account Director - Analytics Consulting

Client Partner/ Account Director - Analytics Consulting

Tiger Analytics

Chicago, IL • On-site, Remote

Full-time

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

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. If you are passionate to work on unstructured business problems that can be solved using data and excited about building, leading, and enabling a team of analytics professionals toward that objective, we would like to talk to you.

Responsibilities
  • Lead delivery, account management, client relationships, and drive account growth.
  • Leverage advanced data science and data engineering solutions to address complex business challenges for CPG and Retail clients.
  • Partner with business and data stakeholders to understand key priorities, define problem statements, and develop strategic analytics roadmaps, including identification and prioritization of high-impact use cases.
  • Collaborate with cross-functional teams of data scientists, data engineers, and analysts to define requirements and deliver high-quality, scalable solutions.
  • Drive measurable business impact by delivering solutions aligned to strategic, operational, and tactical objectives, and present outcomes to executive leadership.
Requirements
  • 15+ years of experience in the field of delivering advanced analytics-based consulting services to clients and experience in designing/implementing large data analytics or data engineering programs.
  • Experience managing large accounts and being actively involved in account growth would be an added advantage. P&L ownership in the past would also be an added advantage.
  • Ability to engage with VP / Director-level stakeholders from the client's team, including data leads, and with internal remote teams to define business problems and collaborate on solution approaches.
  • Knowledge of domains like Retail & CPG will be highly preferred.
  • Experience as a hands-on contributor or in leading a team on price & promotion optimisation programs is a plus.
  • Excellent communication (written and verbal) and presentation skills.
  • Ability to work with global teams, communicating client business problem context to the remote teams and leveraging them effectively in execution, while owning client presentation, project management and expectation setting.
  • Working from client offices in Chicago, IL 3 days a week. Open to travel for onboarding to India.
  • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes.
  • Experience with analytic tools such as R, Python, AWS, Databricks, and exposure to cloud platforms and big data systems is an advantage.
  • Graduate in Business Analytics or MBA or equivalent work experience.
Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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