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Senior Analytics Developer Jobs in Springfield, PA

C3 Industries

Senior Analytics Engineer

Philadelphia, PA · On-site

$105K - $144K/yr

The Senior Analytics Engineer is responsible for designing, building, and maintaining the enterprise data models that power reporting and analytics across C3 Industries and High Profile Cannabis ...

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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 Sep 7, 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 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.

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 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.

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.

Senior Analytics Developer jobs near you
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 Engineer

C3 Industries

Philadelphia, PA • On-site

$105K - $144K/yr

Full-time

Posted 4 days ago

C3 Industries rating

5.8

Company rating: 5.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

24th of 33 rated cannabis dispensaries

Job description

JOB SUMMARY:

The Senior Analytics Engineer is responsible for designing, building, and maintaining the enterprise data models that power reporting and analytics across C3 Industries and High Profile Cannabis Shops.  Leveraging Snowflake and Power BI, the role transforms raw data into documented, tested, reusable models the business can trust, and pulls the business logic currently embedded in individual reports into a governed transformation layer. This is a hands-on senior individual contributor role with significant influence over how C3 models its data as the company adds business units, systems, and locations.

JOB DUTIES:

Core duties and responsibilities include the following. Other duties may be assigned.

  • Design, build, and maintain transformation models in Snowflake that serve reporting across Retail (High Profile Cannabis Shops), Cultivation, Manufacturing, Marketing, and Finance.
  • Refactor business logic out of Power BI datasets into governed, tested, version-controlled models in the warehouse.
  • Build and maintain ingestion pipelines from C3's source systems, including consolidation of BigQuery marketing and ecommerce data into Snowflake.
  • Define and apply a consistent modeling approach covering naming standards, grain, conformed dimensions, and a shared product and location master.
  • Implement automated data quality testing and monitoring, and own resolution when tests fail.
  • Document models and lineage so analysts can self-serve without relying on tribal knowledge.
  • Partner with analysts and business stakeholders to translate reporting requirements into durable models rather than one-off extracts.
  • Support the semantic layer and BI tooling, and contribute to evaluation of new platform tools such as Microsoft Fabric, dbt, Airbyte, dlt, Omni, and Sigma.
  • Cross-train with the broader team and contribute to shared ownership of critical pipelines and models.
  • Mentor analysts on SQL, modeling practice, and data quality.

SUPERVISORY RESPONSIBILITIES:

None. This role mentors analysts and leads project work without direct reports.

JOB REQUIREMENTS:

  • Bachelor's degree in computer science, information systems, analytics, engineering, or a related field; equivalent experience considered.
  • Minimum four years building production data models and pipelines in a cloud data warehouse; Snowflake experience strongly preferred, BigQuery a plus.
  • Advanced SQL, including window functions, performance tuning, and incremental processing patterns.
  • Demonstrated data modeling depth across dimensional modeling, slowly changing dimensions, and designing for reuse across multiple reporting consumers.
  • Hands-on experience with dbt or an equivalent transformation framework, and with ingestion tooling such as Airbyte, dlt, or Fivetran.
  • Working experience with Power BI, including semantic models and DAX; exposure to Microsoft Fabric, Looker, Omni, or Sigma a plus.
  • Proficiency with Git-based workflows, code review, and CI/CD for data.
  • Python or a comparable scripting language for pipeline and automation work.
  • Clear written documentation habits and the ability to work directly with non-technical stakeholders.
  • Cannabis, retail, CPG, or multi-site manufacturing experience a plus.

What C3 Industries employees say

Hours and flexibility

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