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Analytics Jobs in Nevada (NOW HIRING)

Flag data quality issues and inconsistencies identified during reporting and analysis tasks. Key Competencies * Organizes and delivers data accurately and on time, with strong attention to detail.

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First and Goal Events has an Analytics Assistant opportunity open for a grab. The successful candidate will be a highly motivated, independent thinker who can instinctively manage projects without ...

First and Goal Events has an Analytics Assistant opportunity open for a grab. The successful candidate will be a highly motivated, independent thinker who can instinctively manage projects without ...

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Analytics information

See Nevada salary details

$65.7K

$127.6K

$182.3K

How much do analytics jobs pay per year?

As of Sep 7, 2026, the average yearly pay for analytics in Nevada is $127,620.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,800.00 and $151,700.00 per year, depending on experience, location, and employer.

What is analytics?

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.

What are the key skills and qualifications needed to thrive in analytics?

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.

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 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 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 and skills in tools like SQL, Python, and Tableau. Compensation varies by industry, location, and level of expertise, but it is considered a lucrative career option for those with strong analytical and technical abilities.

What are the most commonly searched types of Analytics jobs in Nevada?

The most popular types of Analytics jobs in Nevada are:

What are popular job titles related to Analytics jobs in Nevada?

For Analytics jobs in Nevada, the most frequently searched job titles are:

What cities in Nevada are hiring for Analytics jobs?

Cities in Nevada with the most Analytics job openings:

Infographic showing various Analytics job openings in Nevada as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $127,620 per year, or $61.4 per hour.

Commercial Analytics and Forecasting - Life Sciences - Manager - Consulting - Location OPEN

Ernst & Young Oman

Carson City, NV • On-site

$126 - $230/hr

Other

Medical, Dental, Retirement, PTO

Posted 5 days ago


Job description

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

The opportunity

We are seeking an experienced Pharma Forecasting Specialist to join our team. The role involves working as a key stakeholder within a cross-functional team to deliver forecasts at the global, regional, and country levels based on business needs.

The ideal candidate will have 10+ years of pharmaceutical forecasting experience, strong therapeutic area (TA) expertise, and the ability to develop forecasting assumptions, create concept notes, and prepare impactful presentations. Basic proficiency in Python is required to support forecasting and analytical activities.

Your key responsibilities

As a Manager in Commercial analytics and Forecasting, you will work as a key stakeholder within a cross-functional team to deliver forecasts at the global, regional, and country levels based on business needs.

In this pivotal role, you will:
  • Develop and maintain short-term and long-term brand forecasts to support strategic and operational planning.

  • Conduct brand, franchise, regional, and country-level forecasting, providing actionable business insights and recommendations.

  • Apply quantitative and analytical techniques to solve forecasting challenges and perform sensitivity analyses to assess risks and opportunities.

  • Build, validate, and enhance forecasting models, recommending appropriate assumptions and methodologies.

  • Analyze historical performance, market dynamics, and business drivers to improve forecast accuracy.

  • Prepare concept notes, reports, dashboards, and presentations to communicate insights and recommendations effectively.

  • Present findings to internal stakeholders and senior leadership to support decision-making.

  • Leverage Python and analytics tools to automate and optimize forecasting processes.

  • Drive continuous improvement by adopting best practices, innovative methodologies, and emerging forecasting technologies

Overall delivery
  • Perform forecasts across brands, franchises, regions, and countries to drive business decisions.

  • Analyze trends and market drivers to improve forecast accuracy.

  • Develop dashboards, reports, and presentations to communicate insights.

  • Present recommendations to stakeholders and leadership.

Practice development
  • Contribute to the growth and strategic direction of EY’s Pharma Customer practice.

  • Develop thought leadership assets, including POVs, POCs, proposals, and go-to-market materials to support business development.

  • Identify opportunities to expand EY’s capabilities and deliver innovative solutions for pharmaceutical clients.

  • Stay current with pharmaceutical industry trends, market dynamics, and emerging technologies.

  • Identify and support new business opportunities within the life sciences and pharmaceutical sectors

Stakeholder management
  • Collaborate with cross-functional stakeholders, including Marketing, Finance, Market Access, MMD, HHI, and RCL teams, to gather requirements and deliver forecasting solutions.

  • Build and maintain strong client relationships, acting as a trusted advisor and strategic partner.

  • Translate business requirements into scalable, actionable, and sustainable solutions.

  • Drive stakeholder alignment to ensure successful project delivery and client satisfaction

Team and People development
  • Lead, coach, and mentor team members, fostering a culture of continuous learning and innovation.

  • Recruit, develop, and retain high-performing talent with expertise in pharmaceutical forecasting and analytics.

  • Create and execute development plans to support career growth and capability building.

  • Strengthen team expertise in therapeutic areas, pharmaceutical sciences, strategic thinking, project management, and leadership.

  • Foster an inclusive, agile, and high-performance team environment.

  • Evaluate and manage team performance, providing regular feedback and development opportunities

Skills and attributes for success

To excel in this role, you will need:

  • Proven ability to construct and direct technology projects in line with organizational goals.

  • Expertise in project and program delivery methodologies, with the ability to mentor others.

  • Strong analytical skills to develop creative solutions for complex problems.

  • Leadership skills to manage professional staff and supervise teams effectively.

  • Strategic thinking to drive sales, business growth, and client satisfaction.

  • Basic proficiency in Python to support forecasting and analytical activities

Experience:
  • 10+ years of experience in pharmaceutical forecasting, commercial analytics, and business analysis within the life sciences industry.

  • Extensive experience in developing, maintaining, and enhancing forecasting models to support strategic and operational decision‑making across global markets.

  • Strong expertise in Long-Range Forecasting (LRF), forecasting methodologies, scenario planning, and sensitivity analysis.

  • Proven experience in business analysis, including requirements gathering, data management, process optimization, change management, and executive-level presentations.

  • Deep therapeutic area expertise in Oncology, Vaccines, Immunology, Rare Diseases, or other pharmaceutical disciplines.

  • Demonstrated track record of delivering robust forecasts and actionable business insights at global, regional, and country levels.

  • Extensive experience collaborating with cross-functional stakeholders, including Commercial, Finance, Market Access, Medical Affairs, HEOR, and Strategic Planning teams.

  • Proficiency in forecasting and analytics platforms such as SQL, Tableau, Alteryx, Power BI, and other data processing tools.

  • Strong working knowledge of Python for analytics, forecasting, process automation, and advanced modeling applications.

  • Familiarity with Artificial Intelligence (AI), Machine Learning (ML), and advanced statistical techniques applied to forecasting and commercial decision‑making

  • Exceptional analytical and problem‑solving capabilities, with the ability to translate complex data into strategic business recommendations.

  • Excellent communication, presentation, facilitation, and stakeholder management skills, with experience engaging senior leadership and client executives.

  • Proven ability to manage multiple priorities, lead complex projects, and deliver high-quality outcomes in a dynamic, fast‑paced environment.

  • Demonstrated success working with global and cross‑functional teams across geographies and organizational levels.

  • Strong leadership presence, business acumen, and ownership mindset, with a focus on driving client value and delivery excellence.

  • Passion for continuous learning, innovation, and the adoption of emerging technologies and best practices in pharmaceutical forecasting and analytics.

  • Experience leading and mentoring high-performing teams while fostering a culture of collaboration, capability development, and continuous improvement.

  • Track record of contributing to business development, proposal support, thought leadership, and practice‑building initiatives

Skillsets:
  • Data Tools: MS Excel, MS PowerPoint

  • Visualization Tools: Power BI

  • Data Manipulation & Analysis: SQL

  • Programming Languages: Python

  • Data Sources: MIDAS Data, Internal Sales Data

  • Team Management & handling

  • Stakeholder Management

To qualify for the role, you must have
  • Bachelor’s degree in business administration, Data Science, Applied Mathematics, Pharmaceutical Sciences, Business Analytics, Computer Science, Information Systems, or a related quantitative discipline, along with relevant professional experience.

  • Strong therapeutic area expertise across Oncology, Vaccines, Immunology, Rare Diseases, or other pharmaceutical domains.

  • Proficiency in forecasting and analytics tools such as SQL, Tableau, Alteryx, Power BI, and other data processing platforms.

Ideally, you’ll also have
  • Passion for continuous learning, innovation, and the adoption of emerging technologies and best practices in pharmaceutical forecasting and analytics.

  • Experience leading and mentoring high-performing teams while fostering a culture of collaboration, capability development, and continuous improvement.

  • Track record of contributing to business development, proposal support, thought leadership, and practice‑building initiatives

What we look for

The ideal candidate should bring 10+ years of experience in pharmaceutical forecasting, along with strong therapeutic area (TA) expertise. The role requires the ability to develop forecasting assumptions, prepare concept notes, and create impactful presentations. Basic Python proficiency is also required to support forecasting and analytical activities.

What we offer you

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .

  • We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

  • Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.

  • Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.

EY accepts applications for this position on an on-going basis.

For those living in California, please click here for additional information.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com .

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