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Senior Analyst Jobs in Goodyear, AZ (NOW HIRING)

Sr. Analyst, Data Science

Tempe, AZ · On-site

$85.90K - $143.17K/yr

Senior Analyst, Data Science Where ambition meets innovation Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative ...

Senior Consulting Analyst

Phoenix, AZ

$87.40K - $115.70K/yr

As a Senior Analyst, you will have the opportunity to: * Contribute to delivering projects for a wide range of clients, including water, electric, and gas utilities, oil and gas clients, data centers ...

Epic Taperstry Benefits Sr. Analyst

Tempe, AZ · On-site

$69K - $90.50K/yr

As an experienced Epic Tapestry Benefits Sr. Analyst, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project ...

As a CBRE Facilities Sr. Analyst, you will be responsible for a combination of advanced facilities work in regulated spaces. This job is a part of the Facilities Management functional area which ...

The Senior Analyst performs preparation and review activities, supports client deliverables, and provides guidance to junior analysts while operating with limited supervision. The role supports the ...

The Senior Analyst performs preparation and review activities, supports client deliverables, and provides guidance to junior analysts whileoperatingwith limited supervision.The role supports the ...

The Senior Analyst performs preparation and review activities, supports client deliverables, and provides guidance to junior analysts while operating with limited supervision. The role supports the ...

Sr. Analyst, Data Science

Tempe, AZ · On-site

$85.90K - $143.17K/yr

Job Overview We are seeking a curious and analytically rigorous Senior Analyst, Data Science to uncover key insights that drive strategic decisions and product development for Growth Strategy ...

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Senior Analyst information

See Goodyear, AZ salary details

$47.4K

$100.2K

$127.5K

How much do senior analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for senior analyst in Goodyear, AZ is $100,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $113,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Analyst, and why are they important?

To thrive as a Senior Analyst, you need advanced analytical skills, strong problem-solving abilities, and a relevant degree in fields such as finance, business, or data science. Expertise in data analysis tools like Excel, SQL, and business intelligence platforms, along with certifications such as CFA or CBIP, is often expected. Superior communication, critical thinking, and project management skills help Senior Analysts present insights clearly and collaborate effectively with stakeholders. These competencies ensure accurate data-driven decisions and drive organizational success in a competitive business environment.

How does a Senior Analyst typically collaborate with cross-functional teams within an organization?

Senior Analysts frequently work alongside teams such as finance, IT, marketing, and operations to gather data, analyze trends, and provide actionable insights. They often act as a bridge between technical experts and business stakeholders, translating complex data findings into clear recommendations. This collaborative environment requires strong communication skills and the ability to manage multiple priorities while ensuring stakeholders’ needs are met. Regular meetings, presentations, and collaborative problem-solving sessions are common aspects of the role.

What are Senior Analysts?

Senior Analysts are experienced professionals who collect, process, and interpret complex data to help organizations make informed decisions. They often lead analysis projects, develop strategies based on their findings, and may mentor junior analysts. Senior Analysts typically specialize in a particular field, such as finance, business, or data analytics, and are valued for their expertise in identifying trends and providing actionable recommendations. Their work supports organizational goals and can drive improvements in efficiency and profitability.

What is the difference between Senior Analyst vs Data Analyst?

AspectSenior AnalystData Analyst
Required CredentialsBachelor's degree, often some certifications or specialized trainingBachelor's degree, often certifications in data tools
Work EnvironmentCorporate, consulting, finance, or tech industriesBusiness, marketing, healthcare, and tech sectors
Employer & Industry UsageUsed across industries for complex analysis rolesCommon in data-driven roles across industries

The main difference between a Senior Analyst and a Data Analyst lies in experience level and scope. Senior Analysts typically handle more complex projects, provide strategic insights, and may mentor junior staff. Data Analysts focus on collecting, processing, and analyzing data to support business decisions. Both roles require similar educational backgrounds and certifications, but Senior Analysts usually have more experience and responsibilities.

What are the most commonly searched types of Analyst jobs in Goodyear, AZ? The most popular types of Analyst jobs in Goodyear, AZ are:
What are popular job titles related to Senior Analyst jobs in Goodyear, AZ? For Senior Analyst jobs in Goodyear, AZ, the most frequently searched job titles are:
What job categories do people searching Senior Analyst jobs in Goodyear, AZ look for? The top searched job categories for Senior Analyst jobs in Goodyear, AZ are:
What cities near Goodyear, AZ are hiring for Senior Analyst jobs? Cities near Goodyear, AZ with the most Senior Analyst job openings:
Infographic showing various Senior Analyst job openings in Goodyear, AZ as of May 2026, with employment types broken down into 1% As Needed, 91% Full Time, 5% Part Time, and 3% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution, with an average salary of $100,174 per year, or $48.2 per hour.
Sr. Analyst, Data Science

Sr. Analyst, Data Science

LPL Financial

Tempe, AZ • On-site

$85.90K - $143.17K/yr

Other

Medical, Retirement, PTO

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


LPL Financial rating

7.6

Company rating: 7.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

106th of 138 rated financial services


Job description

Senior Analyst, Data Science

Where ambition meets innovation

Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you'll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.

Job Overview

We are seeking a curious and analytically rigorous Senior Analyst, Data Science to uncover key insights that drive strategic decisions and product development for Growth Strategy & Enablement (GS&E). This role is ideal for a data scientist who is equally comfortable writing code, building models, and communicating findings to non-technical stakeholders. You'll be part of the growing GS&E Data Science team.

You'll closely collaborate with the team and other key business partners to frame analytical problems, design and execute analyses, and translate results into actionable recommendations. This is a high-impact, hands-on role for someone who wants to apply classical data science methods—machine learning, statistics, and causal inference—in a fast-moving, mission-driven environment.

Key Responsibilities
  • Design and execute end-to-end analyses that surface meaningful business insights, from data extraction and cleaning through modeling and interpretation.
  • Apply statistical methods—including hypothesis testing, regression, and causal inference—to answer business questions with rigor and clarity.
  • Translate complex analytical outputs into clear narratives and visualizations for business stakeholders and senior leadership.
  • Build, validate, and deploy supervised and unsupervised machine learning models to support segmentation, prediction, and optimization use cases.
  • Evaluate model performance using appropriate metrics and communicate trade-offs and assumptions to both technical and non-technical audiences.
  • Stay current on advances in applied ML and bring emerging methods to bear on relevant business problems.
  • Design and analyze A/B tests and observational studies to identify causal relationships and measure the impact of business initiatives.
  • Apply quasi-experimental methods when randomized experiments are not feasible.
  • Partner with business teams to build a culture of evidence-based decision-making.
  • Work closely with data engineers, product managers, and business stakeholders to access, understand, and leverage data assets across the enterprise.
  • Document analytical workflows, assumptions, code and findings to ensure reproducibility and knowledge sharing across the team.
  • Contribute to building a scalable data science practice by identifying opportunities to improve tools, processes, and methodologies.
What Are We Looking For?

We're looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.

Requirements
  • 2–4 years of experience in a data science, quantitative analysis, or applied research role in a business setting.
  • Proficiency in Python for data manipulation, statistical analysis, and machine learning, that goes beyond Jupyter notebooks; strives for clean, Git version-controlled code.
  • Solid grounding in statistics, probability, and machine learning fundamentals.
  • Hands-on experience with causal inference methods and experimental design.
  • Experience working with large-scale data in SQL & Snowflake; comfortable building and maintaining clean, reproducible data pipelines as needed to support modeling and analysis work.
  • Data visualization skills and ability to communicate findings clearly to non-technical stakeholders; note this role will not be focused on developing dashboards.
  • Financial services experience is a plus but not required.
  • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field required; Master's degree preferred.

Pay Range: $85,902.00 - $143,170.00 Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play – such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!

LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace, LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses.

At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.

Join LPL Financial: Where Your Potential Meets Opportunity

At LPL Financial, we believe that everyone deserves objective financial guidance. As the nation's leading independent broker-dealer, we offer an integrated platform of cutting-edge technology, brokerage, and investment advisor services.

  • Innovative Environment: We foster creativity and growth, providing a supportive and responsive leadership team.
  • Limitless Career Potential: Your career at LPL has no limits, only amazing potential.
  • Unified Mission: We are one team on one mission—taking care of our advisors so they can take care of their clients.
  • Impactful Work: Our size is just right for you to make a real impact.
  • Commitment to Equality: We support workplace equality and embrace diverse perspectives and backgrounds.
  • Community Focus: We care for our communities and encourage our employees to do the same.
  • Benefits and Total Rewards: Our Total Rewards package goes beyond just compensation and insurance. It includes a mix of traditional and unique benefits, perks, and resources designed to enhance your life both at work and at home.

Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.

Information on Interviews:

LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant's bank or credit card. Should you have any questions regarding the application process, please contact LPL's Human Resources Solutions Center at (855) 575-6947.


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