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Senior Analytics Developer Jobs in Springfield, PA

Cybercoders

Senior Data Engineer - Analytics

Bristol, PA · Remote

$103K - $140K/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 ...

Cybercoders

Senior Data Engineer - Analytics

Philadelphia, PA · Remote

$107K - $145K/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 ...

Cybercoders

Senior Data Engineer - Analytics

Bristol, PA · Remote

$103K - $140K/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 ...

Alivia Analytics

Senior DevOps Engineer

Newtown Square, PA · 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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All JobsAnalytics Developer JobsSenior Analytics Developer JobsSenior Analytics Developer Jobs in Springfield, PA

Senior Analytics Developer information

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$14

$58

$82

How much do senior analytics developer jobs pay per hour?

As of Jul 15, 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 jobs make $1,000,000 a year?

Senior Analytics Developers typically do not earn $1,000,000 annually; such high salaries are usually found in executive roles, successful entrepreneurs, or highly specialized fields like investment banking, hedge fund management, or tech company founders. In rare cases, top-tier professionals with equity, bonuses, or profit-sharing arrangements can reach or exceed this level. Most high-paying jobs require advanced skills, extensive experience, and often ownership stakes or performance-based compensation.

What engineers make $500,000?

Senior Analytics Developers and other highly experienced data professionals can earn $500,000 or more annually, especially with advanced skills in data modeling, programming, and tools like SQL, Python, or cloud platforms. Such compensation often includes bonuses, stock options, or other incentives in competitive industries or senior roles.

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.

Is 40 too late for data science?

Age is not a barrier to becoming a senior analytics developer or entering data science. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience, continuous learning, and practical skills are more important than age in this field.

What jobs pay 200,000 a year in the USA?

Senior Analytics Developers with extensive experience, advanced skills in data modeling, programming, and tools like SQL, Python, or R can reach or exceed a $200,000 annual salary, especially in high-demand industries or senior roles. Other high-paying jobs include data scientists, software engineers, and IT managers, often requiring specialized certifications and a strong professional track record.

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.
Senior Analytics Developer jobs near you
Senior Analytics Developer

Senior Analytics Developer

Conner Strong & Buckelew

Camden, NJ • On-site

$55 - $72.50/hr

Full-time

Posted 13 days ago

Job description

Job Summary:
Conner Strong & Buckelew is seeking a Senior Analytics Developer responsible for transforming enterprise data into actionable insights through reporting, analytics, visualization, and business intelligence solutions. The role involves collaborating with various teams to deliver data products that enhance operational efficiency and strategic decision-making.
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:
Required:
• 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
• 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
Company:
Conner Strong & Buckelew is an insurance brokerage, employee benefits and risk management consulting firm. Founded in 1959, the company is headquartered in Camden, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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