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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 ...

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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.
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
Director - Analytics Consulting (Pharma)

Director - Analytics Consulting (Pharma)

Tiger Analytics

Jersey City, NJ

Full-time

Re-posted 14 days ago

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.

We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

Responsibilities
  • Work on the latest applications of data science to solve business problems in Pharma and Lifescience domain
  • Work directly with client stakeholders to translate business problems into high‑level analytics solution designs
  • Knowledge of advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisions
  • Proficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etc
  • Experience in generating insights from reports and summarizing for brand teams
  • You will be responsible for account management, client relationships, and account growth
  • You will be responsible for scaling pilots / POCs to a long‑term transformative program and delivering continuous business value
  • Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc.
  • Experience working with all levels of management and consulting with key business stakeholders.
  • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
  • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytics solution
  • You will explore opportunities with current and new buying centers and will collaborate with internal Tiger SMEs to create the right POVs / proposals to help drive growth. You will be responsible for P&L for your account portfolios managing revenue and margin goals
Qualifications
  • 14 - 18 years of professional work experience with at least 10 years in data analytics
  • Strong experience working on Patient Services
  • Experience in building product suite for Global Access and Value team
  • Deep understanding of pharma dataset, KPIs, and insight needs across different HQ and field personas across commercial, PSS, and market access
  • Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach
  • Strong knowledge of Life Science and Pharma domain
  • Experience in specialty drug and rare diseases
  • Strong project management and team management skills and ability to work with global teams
  • Strong SQL skills and hands‑on experience with analytic tools like R & Python & visualization tools like Power BI or Tableau
  • Strong understanding of standard data sources—especially pharmacy, HUB, CRM, IQVIA, alignments, and related datasets—along with the nuances and quality controls required to ensure accuracy
  • Experience in developing hypotheses and validating them through data analysis to identify and investigate trends
  • Experience in building and maintaining reports, with a focus on optimizing effort through automation
  • Experience in managing large accounts and active involvement in account growth. P&L ownership in the past would be an added advantage
  • Graduate in Business Analytics or MBA or equivalent work experience

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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