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Advanced Analytics Remote Jobs in Warminster, PA

Duracell

Corporate Analytics Advisor

Beverly, NJ · On-site +1

Experience developing advanced analytics (predictive and prescriptive) models is a plus. * Consumer packaged goods (CPG) industry experience is a plus. Benefits * Remote position based in Spain, with ...

YO AI Labs

GIS/Geospatial Expert

Philadelphia, PA · Remote

$80 - $100/hr

Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote sensing, and spatial analytics . * Document advanced technical workflows and problem-solving ...

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All JobsAdvanced Analytics JobsAdvanced Analytics Remote JobsAdvanced Analytics Remote Jobs in Warminster, PA

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 2, 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.

Advanced Analytics Remote jobs near you

GROUP PRODUCT MANAGER, DATA PRODUCTS & ANALYTICS - REMOTE

TE Connectivity

Wayne, PA • On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Re-posted 5 days ago

TE Connectivity rating

7.6

Company rating: 7.6 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

84th of 160 rated electronics manufacturers

Job description

Job Title: GROUP PRODUCT MANAGER, DATA PRODUCTS & ANALYTICS - REMOTE
Posting Start Date: 7/27/26
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
Job Description:
Job Overview
The Group Product Manager, Data and Analytics leads the Digital COE's Data Products Team and owns the strategy, roadmap, and delivery of TE's enterprise data product portfolio. This role transforms customer, marketing, and digital data into scalable products that improve decision-making, customer experiences, and TE's digital ecosystem.
Reporting to the Director, Digital & Data Product Management & UX, this leader manages a multidisciplinary team of data analysts, data engineers, and data scientists. The role partners closely with Product Management, UX, Marketing, business units, enterprise IT, and data platform teams to deliver trusted, actionable data products.
The portfolio includes WAVE, TE's enterprise Customer Intelligence platform, as well as customer data capabilities, digital and marketing analytics, customer experience measurement, and future capabilities such as Customer Data Platforms, Customer 360, AI-powered insights, and personalization.
The ideal candidate combines strong product and people leadership with hands-on technical experience in analytics, data engineering, or data science and a proven ability to translate business strategy into measurable enterprise data products.
Key Responsibilities
Product Strategy and Portfolio Leadership
  • Define and own the vision, strategy, and multi-year roadmap for TE's enterprise data product portfolio
  • Lead discovery with business units, Marketing, Sales, digital teams, and enterprise stakeholders to identify high-value opportunities
  • Prioritize investments based on customer value, business outcomes, technical feasibility, and strategic alignment
  • Simplify and consolidate existing products where possible before investing in new capabilities

Product Delivery and Technical Leadership
  • Lead and develop a multidisciplinary team of data analysts, data engineers, and data scientists
  • Set priorities and allocate resources across multiple products and initiatives to maximize business value
  • Partner with the team to define requirements, evaluate analytical approaches, review solution designs, and guide decisions involving data pipelines, models, cloud platforms, analytics, and AI
  • Apply hands-on knowledge of SQL, Python, analytics, and data science concepts to support high-quality delivery

Enterprise Data and Platform Strategy
  • Partner with enterprise IT and platform teams to shape scalable architecture, governance, integration, and data quality strategies
  • Represent customer, marketing, and digital priorities within broader enterprise data investments
  • Drive strategy for capabilities such as CDPs, Customer 360, advanced analytics, AI-powered insights, and personalization
  • Identify emerging technologies that can improve customer experiences, marketing effectiveness, and business decision-making
  • Promote consistent product management practices across TE's growing data ecosystem

Stakeholder and People Leadership
  • Build trusted relationships with senior business unit, segment, Marketing, digital, Product Management, UX, and IT leaders
  • Translate complex technical topics into clear recommendations, priorities, and product strategies for executive audiences
  • Embed data-driven decision-making into TE's digital products and customer experiences
  • Enable trusted measurement of customer satisfaction, digital engagement, marketing effectiveness, and business performance
  • Coach and develop a high-performing team, establishing clear priorities, performance expectations, and development plans

What your background should look like:
  • 10+ years of experience in product management, data products, analytics, data platforms, or a related technical product leadership role
  • 3+ years of experience leading technical teams that include data analysts, data engineers, data scientists, or similar roles
  • Proven experience defining and delivering enterprise data or analytics product strategies and roadmaps
  • Strong technical foundation in analytics, data engineering, or data science, including professional experience using SQL and Python
  • Experience partnering with engineers and data scientists to deliver scalable data products
  • Ability to participate deeply in architecture and design discussions while balancing customer needs, business priorities, and technical feasibility
  • Experience with cloud data platforms such as Databricks, Snowflake, BigQuery, or similar technologies
  • Demonstrated success leading cross-functional work and influencing stakeholders in complex, matrixed organizations
  • Strong executive communication, stakeholder management, prioritization, and business-case development skills

Competencies
Managing and Measuring Work
Motivating Others
Building Effective Teams
Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
SET : Strategy, Execution, Talent (for managers)
COMPENSATION
• Competitive base salary commensurate with experience: $163,800 - $204,700 (subject to change dependent on physical location)
• Posted salary ranges are made in good faith. TE Connectivity reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as internal and external equity.
• Total Compensation = Base Salary + Incentive(s) + Benefits
BENEFITS
• A comprehensive benefits package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off and voluntary benefits.
EOE, Including Disability/Vets
IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.
Job Locations:
680 E. Swedesford Road
Suite 100 and 200
Wayne, Pennsylvania 19087
United States
Posting City: Wayne
Job Country: United States
Travel Required: 10% to 25%
Requisition ID: 155916
Workplace Type: Remote
External Careers Page: Sales & Marketing

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