2

Advanced Analytics Remote Jobs in Warminster, PA

Indirect Tax Senior Analyst (Remote)

Philadelphia, PA ยท Remote

$117K - $117K/yr

... advanced tax responsibilities. What You'll Bring: Required * Bachelor's degree in Accounting ... Strong analytical skills with attention to detail * Proficiency in Excel and ability to work with ...

CUDA Developer - Remote

Philadelphia, PA ยท Remote

$60 - $100/hr

Analyze, profile, and optimize GPU kernels using CUDA and profiling tools. * Identify performance ... Advanced C++ development skills. * Hands-on experience with GLSL and WebGPU . * Experience using ...

Analyze, profile, and optimize GPU kernels using CUDA and profiling tools. * Identify performance ... Advanced C++ development skills. * Hands-on experience with GLSL and WebGPU . * Experience using ...

Develop and review advanced mathematical problems, solutions, and proofs. * Work across calculus ... Provide rigorous explanations, technical analyses, and justifications. * Apply research ...

Develop financial models, executive presentations, proposals, reports, and business analyses ... Advanced proficiency in Microsoft Excel, PowerPoint, and Word . * Experience with financial ...

Excel Expert - Remote

Philadelphia, PA ยท Remote

$30 - $50/hr

Develop financial models, executive presentations, proposals, reports, and business analyses ... Advanced proficiency in Microsoft Excel, PowerPoint, and Word . * Experience with financial ...

Word Expert - Remote

Philadelphia, PA ยท Remote

$30 - $50/hr

Develop financial models, executive presentations, proposals, reports, and business analyses ... Advanced proficiency in Microsoft Excel, PowerPoint, and Word . * Experience with financial ...

Pricing Analyst III - Remote

Philadelphia, PA ยท On-site +1

$80K - $120K/yr

Develop and enhance pricing analytics utilizing SAS, Python, Excel and Tableau related to projected ... Advanced knowledge of Python, SAS, or SQL, Snowflake, and AWS or a similar programming language

Our team offerings leverage advanced analytics, machine learning algorithms, and technology platforms for a variety of healthcare applications including finding undiagnosed patients with rare ...

Our team offerings leverage advanced analytics, machine learning algorithms, and technology platforms for a variety of healthcare applications including finding undiagnosed patients with rare ...

Showing results 21-40

Advanced Analytics Remote information

See Warminster, PA salary details

$60.2K

$123.3K

$174.3K

How much do advanced analytics remote jobs pay per year?

As of Sep 3, 2026, the average yearly pay for advanced analytics remote in Warminster, PA is $123,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $152,900.00 per year, depending on experience, location, and employer.

What is an advanced analytics remote job?

An Advanced Analytics Remote job involves using data analysis, statistical modeling, and machine learning techniques to extract insights and support business decisions, all while working from a remote location. Professionals in this role analyze complex datasets, build predictive models, and create data visualizations to help organizations solve problems and identify trends. These positions often require strong skills in programming languages such as Python or R, as well as experience with analytics platforms and data visualization tools.

What are some common challenges faced by professionals in remote advanced analytics roles, and how can they be addressed?

Professionals in remote Advanced Analytics roles often encounter challenges such as effective communication with cross-functional teams, managing data security, and maintaining access to necessary tools and datasets. To address these, it's important to establish clear communication channels, leverage collaboration platforms, and follow strict data governance protocols. Regular virtual meetings and documentation also help ensure alignment and project progress, while proactive engagement with IT teams can resolve technical hurdles quickly.

What are the key skills and qualifications needed to thrive as an advanced analytics professional working remotely, and why are they important?

To excel as an Advanced Analytics professional in a remote setting, a strong background in statistics, data analysis, and a relevant degree (such as in mathematics, computer science, or data science) is essential. Expertise with technical tools like Python, R, SQL, data visualization platforms (such as Tableau or Power BI), and familiarity with cloud analytics services is typically required. Outstanding problem-solving abilities, self-motivation, and effective virtual communication are crucial soft skills for remote collaboration and project delivery. These skills ensure that analytical insights are accurate, actionable, and delivered efficiently in a distributed work environment.

What is the difference between Advanced Analytics Remote vs Data Analyst Remote?

AspectAdvanced Analytics RemoteData Analyst Remote
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; often certifications in analytics toolsBachelor's in Data, Statistics, or related fields; some certifications preferred
Work EnvironmentRemote, often collaborative with data science teamsRemote, typically individual-focused data analysis tasks
Employer & Industry UsageTech, finance, healthcare, and consulting firmsRetail, marketing, finance, and healthcare sectors
Common Search & Comparison IntentUnderstanding roles requiring advanced analytics skills remotelyFinding remote data analysis jobs and differentiating roles

Advanced Analytics Remote involves working with complex data models, machine learning, and predictive analytics, often requiring specialized skills and certifications. Data Analyst Remote focuses on interpreting data, creating reports, and supporting decision-making with less emphasis on advanced modeling. Both roles are remote but differ in complexity and technical depth.

Data Architect

Federal Reserve Bank of San Francisco

Philadelphia, PA โ€ข On-site, Remote

$64.25 - $82.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Job description

CompanyFederal Reserve Bank of St. LouisThe Data Architect will lead the design and modernization of the data architecture that powers the economic data platforms of St. Louis based Research applications such as FRED. These platforms manage massive collections of economic time-series data, historical revisions, digitized archival documents, and research publications.

This role focuses on designing scalable data platforms, data models, and data governance frameworksto support long-term growth, advanced analytics, and global access to economic data. It will leverage in-depth knowledge of modern data technologies, industry frameworks, data security best practices and emerging innovations in AI/ML and data science to accelerate value, delivery and outcomes for the business.

The Data Architect will partner closely with the Application Architectto ensure seamless integration between data platforms and application services.

Key Responsibilities

  • Define and evolve the target data architecturesupporting economic data systems.
  • Design scalable storage architectures capable of supporting billions of time-series observations and historical revisions.
  • Develop metadata schemas supporting dataset discoverability, lineage, and governance.
  • Standardize dataset structures and metadata across multiple platforms.
  • Implement scalable data processing frameworks capable of supporting growing dataset volumes.
  • Improve indexing and metadata strategies that support dataset search and discovery.
  • Enable advanced analytical capabilities for researchers and developers.
  • Partner with the Application Architect to optimize data access patterns for APIs and applications.

Required Qualifications

  • 7-10+ years of experience in data architecture, data engineering or database design and large-scale enterprise cloud data implementations in complex, highly regulated environments. Deep understanding of modern data technology stacks, cloud data platforms (AWS preferred), and enterprise software solutions.
  • Demonstrated experience designing, architecting and supporting external / public-facing applications with a strong emphasis on scalability, security, availability and performance for external customer-facing platforms. Demonstrated knowledge of and leading adoption of industry best practices in the areas of DataOps and modern data stack tools, data governance, SQL and other query tools and knowledge of data privacy regulations. Industry-related certifications in one or more of the above areas are desired. Demonstrated experience in cloud data architecture skills including designing, architecting and delivering modern cloud data platforms to ingest, process, store and expose data across the enterprise. Expert knowledge of data modeling techniques and tools, data lifecycle management and integration patterns to ensure that data flows are consistent, reliable and reusable across services and solutions.
  • Experience with data storage technologies, partitioning strategies, caching, data access patterns, and robust security strategies enforcing privacy and regulatory requirements including designing standardized approaches for data classification, access control, encryption, retention and auditability.
  • Knowledge of data warehousing concepts and tools, big data technologies, machine learning and AI data requirements.
  • Strong recent hands-on experience with PostgreSQL, including schema design, advanced indexing strategies, partitioning, query optimization, and high-availability configurations, ideally in the context of large-scale time-series.
  • Outstanding communication and collaboration skills, including translating technical topics and risks into business teams. Ability to personalize communication to audience from technologists to executive leadership.
  • Extensive, in-depth experience implementing highly complex technology projects in a cross-functional matrix environment with demonstrated ability to drive consensus and deliver results. Examples of leading through influence and successfully resolving conflicting priorities are required.
  • Candidates with less experience may be considered at a lower job grade or salary.

Preferred Qualifications

  • Experience working with time-series data platforms or analytical datasets.
  • Experience with distributed query engines and large-scale data processing systems.
  • Experience with data catalog and metadata management platforms.
  • Familiarity with economic datasets or research data environments.
  • Experience supporting public data access or research-oriented platforms.

Additional Information

Location(s):

  • The selected candidate willresidewithin a reasonable commuting distance, as defined by the employing Reserve Bank, and will work full-time onsite.
  • Locations:Boston, MA- New York, NY- Philadelphia, PA- Cleveland, OH- Richmond, VA- Atlanta, GA- Chicago, IL- St. Louis, MO- Minneapolis, MN- Kansas City, MO- Dallas, TX- San Francisco, CA
  • Remote Eligible: No
  • Current remote employees will not be guaranteed to keep their remote status with their employing bank.

Salary

Salary for St. Louis: $140,000 - $170,000

  • The listed salary is applicabletothe Federal Reserve Bank of St. Louis.Final offers aredeterminedby factors including the candidate's qualifications, internal alignment considerations, district assignment, and geographic location.

Total Rewards

Bring your passion and expertise, and we'll provide the opportunities that will challenge you and propel your growth-along with a wide range of benefits and perks that support your health, wealth, and life.

In addition to competitive compensation, we offer a comprehensive benefits package all brought together in a flexible work environment where you can find balance:

  • Medical (4 options), Prescription, Dental (3 options), and Vision Insurance with no waiting period
  • 401k/Thrift Plan with generous employer match
  • Employer-funded Pension Plan
  • Paid Vacation/Sick Time and Holidays
  • Flexible Spending Accounts and Healthcare Spending Accounts
  • Life Insurance and Long Term Disability Insurance
  • Tuition Reimbursement (undergraduate and graduate)
  • Parental Leave
  • Free onsite 24/7 Fitness Center including training classes, and locker room / shower facilities
  • Onsite Cafeteria and Coffee Shop
  • Additional Convenience Benefits, Discounts and More...

At the Federal Reserve Bank of St. Louis, we are committed to a strong and resilient economy for all. We prioritize inclusion and strive to be a workplace where all employees can thrive. Learn more about Bank'sculture.

The Federal Reserve Bank of St Louis is an Equal Opportunity Employer. #LI-Onsite

Full Time / Part TimeFull timeRegular / TemporaryRegularJob Exempt (Yes / No)YesJob CategoryInformation Technology Family GroupWork ShiftFirst (United States of America)

The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.

Privacy Notice