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Senior Analytics Developer Jobs in Springfield, PA

Senior Data Engineer - Analytics

Bristol, PA ยท Remote

$165K - $190K/yr

Senior Data Engineer - Analytics Senior Data Engineer, Analytics Location: 100% Remote Position Overview We are seeking an experienced Analytics Engineer to join our data team and build reliable ...

Senior Data Engineer - Analytics

Bristol, PA ยท Remote

$165K - $190K/yr

Senior Data Engineer - Analytics Senior Data Engineer, Analytics Location: 100% Remote Position Overview We are seeking an experienced Analytics Engineer to join our data team and build reliable ...

Senior DevOps Engineer

Newtown Square, PA ยท Remote

$125K - $165K/yr

Chief Technology Officer About Alivia Analytics Alivia Analytics is transforming healthcare payment integrity through advanced analytics and AI. Our mission is to eliminate fraud, waste, and abuse in ...

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Senior Analytics Developer information

See Springfield, PA salary details

$14

$58

$82

How much do senior analytics developer jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for senior analytics developer in Springfield, PA is $58.23, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $65.29 per hour, depending on experience, location, and employer.

What is the difference between Senior Analytics Developer vs Data Analyst?

AspectSenior Analytics DeveloperData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; often certifications in SQL, Python, or TableauBachelor's degree in Statistics, Mathematics, or related field; certifications in Excel, SQL, or data visualization tools
Work EnvironmentDevelops complex analytics solutions, works with data engineering teams, and builds dashboardsAnalyzes data sets, prepares reports, and visualizes data for business insights
Employer & Industry UsageUsed in tech, finance, and consulting firms for advanced analytics projectsCommon across various industries for business reporting and decision-making

In summary, a Senior Analytics Developer focuses on creating advanced analytics solutions and dashboards, often requiring programming skills and technical expertise. A Data Analyst primarily interprets data, prepares reports, and visualizes insights for business teams. While both roles work with data, the Senior Analytics Developer typically handles more complex technical tasks.

What are the key skills and qualifications needed to thrive as a senior analytics developer, and why are they important?

To thrive as a Senior Analytics Developer, you need expertise in data analysis, programming (such as Python or SQL), and a strong understanding of statistical methodologies, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with advanced analytics platforms (like Tableau or Power BI), big data tools (such as Hadoop or Spark), and relevant certifications (e.g., Microsoft Certified Data Analyst) is often required. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate complex data insights into actionable business solutions. These skills and qualifications are crucial for delivering high-impact analytics projects that drive decision-making and business growth.

How does a senior analytics developer typically collaborate with other teams during a data project?

Senior Analytics Developers frequently collaborate with cross-functional teams such as data engineers, business analysts, and product managers. They work closely with data engineers to ensure data pipelines are robust and with business stakeholders to translate complex analytics findings into actionable insights. Regular meetings and agile ceremonies are common to align on project goals, troubleshoot challenges, and refine deliverables. This collaborative environment ensures analytics solutions are both technically sound and aligned with business priorities.

What is a senior analytics developer?

A Senior Analytics Developer is a professional who designs, builds, and maintains complex data analytics solutions to help organizations make data-driven decisions. They are responsible for developing advanced data models, creating dashboards and reports, and ensuring data quality and accuracy. Typically, they work with large datasets, use programming languages like SQL or Python, and collaborate closely with data scientists, business analysts, and other stakeholders. Senior Analytics Developers also mentor junior team members and help set best practices for analytics projects. Their work is crucial in providing actionable insights that drive business strategy.
Infographic showing various Senior Analytics Developer job openings in Springfield, PA as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $121,126 per year, or $58.2 per hour.

Senior Analytics Developer

Conner Strong & Buckelew

Camden, NJ โ€ข Remote

$95K - $110K/yr

Other

Medical, Dental, Retirement, PTO

Re-posted 4 days ago


Job description

Role Overview

The Senior Analytics Developer is responsible for transforming enterprise data into actionable insights through reporting, analytics, visualization, and business intelligence solutions. This role partners with business stakeholders, Information Technology, and Data Analytics teams to deliver trusted data products that support operational efficiency and strategic decision-making.

The position will support both traditional business intelligence initiatives and emerging AI-driven analytics capabilities, including document intelligence, knowledge management, and enterprise search solutions. The ideal candidate combines strong analytical thinking with hands-on experience across modern data platforms, visualization tools, Python/ SQL along with low-code applications and information management technologies.

Key Responsibilities

  • Collaborate with business and technology teams to understand requirements and translate them into reporting, analytical, and data-driven solutions.
  • Design, develop, and maintain dashboards, scorecards, semantic models, and self-service reporting capabilities.
  • Create data models, metrics, and key performance indicators that provide consistent and meaningful business insights.
  • Develop and optimize queries, transformations, and analytical datasets to support reporting and decision-making.
  • Build Power Apps and workflow solutions that improve business reporting and analytics processes, user experience, and data accessibility.
  • Integrate and prepare data from multiple business systems, databases, files, APIs, and cloud-based platforms.
  • Support data quality, validation, reconciliation, and governance activities to ensure confidence in reporting outputs.
  • Organize, classify, and enrich information stored within enterprise content repositories through metadata and information management practices.
  • Assist with AI and knowledge-management initiatives by preparing structured and unstructured information for analytics, search, and retrieval solutions.
  • Create and maintain business glossaries, metric definitions, data dictionaries, and support documentation.
  • Develop testing plans and coordinate user acceptance testing for reporting and analytics solutions.
  • Present findings, recommendations, and solution designs to technical and non-technical audiences.
  • Identify opportunities to improve operational efficiency, reporting automation, and enterprise data utilization.
  • Provide ongoing support and enhancement of existing analytical solutions through structured management processes.

Qualifications

  • Bachelor's degree in computer science, Information Systems, Data Analytics, Statistics, Business Analytics, or equivalent practical experience.
  • Minimum 4 years of experience in business intelligence, analytics, reporting, or data-focused solution development.
  • Demonstrated ability to gather business requirements and independently deliver analytical solutions.
  • Experience working throughout the full solution lifecycle, including analysis, design, development, testing, deployment, and support.
  • Strong problem-solving skills with the ability to manage multiple priorities in a fast-paced environment.
  • Excellent verbal and written communication skills with the ability to explain complex concepts to business users.
  • Proven ability to learn new technologies and adapt to evolving business needs.
  • Strong ability to manage multiple initiatives, prioritize work, and deliver within deadlines
  • Proven ability to rapidly learn and evaluate new platforms and technologies
  • Strong communication skills with the ability to explain technical solutions to business users

Technology Skills

Required

  • Power BI (semantic models, DAX, Power Query, dashboards, and reporting)
  • SQL Server, Azure SQL, or similar relational database platforms
  • Python for data analysis, automation, visualization, or reporting
  • Power Apps and Power Automate
  • Microsoft Excel (advanced formulas, Power Query, PivotTables, and data analysis)
  • SharePoint Online and Microsoft 365
  • Dataverse and Power Platform data integrations
  • Data modeling, visualization, and analytical design
  • API and file-based data integration concepts

Preferred

  • Microsoft Azure data and analytics services
  • Microsoft Fabric
  • Experience supporting enterprise reporting within insurance, employee benefits, healthcare, or financial services organizations
  • SharePoint-based document management and content repositories
  • Metadata management, information architecture, and content classification
  • AI-powered search, document intelligence, and knowledge management solutions
  • Experience working with unstructured data, OCR outputs, or document extraction platforms
  • Familiarity with embeddings, vector databases, semantic search etc.
  • Exposure to enterprise data governance, data catalog, and master data management concepts

Compensation:

Salary for this position ranges from $95,000.00 - $110,000.00. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

Qualifying positions will also be eligible for comprehensive benefits, such as participation in family medical and dental insurance programs, 401K plan, and PTO.
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