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Senior Analytics Engineer Jobs in Pennsylvania (NOW HIRING)

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 ...

New

Vanscoy Rare Pharmacy

$110 - $150/hr

... Data Analytics Manager. The Sr. Analyst, Data & Analytics Engineering works directly with Vanscoy Rare Pharmacy teams to determine reporting requirements, develop data pipelines, and distribute ...

New

Amazon

Senior Industrial Analytics Engineer

Pittsburgh, PA · On-site

$41.50 - $56.75/hr

The Senior Industrial Engineering Analytics Engineer will lead the development and application of advanced analytical models to drive manufacturing efficiency, capacity planning, and cost ...

PNC Bank

Bus Analytics Lead

Pittsburgh, PA · On-site

Serves as a senior individual contributor and subject-matter expert responsible for leading complex ... developers, risk partners, and end-users to identify opportunities, define requirements, and ...

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Senior Analytics Engineer information

See Pennsylvania salary details

$59.6K

$126.9K

$183.9K

How much do senior analytics engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for senior analytics engineer in Pennsylvania is $126,861.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 and $143,800.00 per year, depending on experience, location, and employer.

What is a senior analytics engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

How does a senior analytics engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.

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

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

What is the difference between Senior Analytics Engineer vs Data Engineer?

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

What are the most commonly searched types of Analytics Engineer jobs in Pennsylvania?

The most popular types of Analytics Engineer jobs in Pennsylvania are:

What are popular job titles related to Senior Analytics Engineer jobs in Pennsylvania?

For Senior Analytics Engineer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Senior Analytics Engineer jobs in Pennsylvania look for?

The top searched job categories for Senior Analytics Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Senior Analytics Engineer jobs?

Cities in Pennsylvania with the most Senior Analytics Engineer job openings:

Senior Analytics Engineer jobs near you
Infographic showing various Senior Analytics Engineer job openings in Pennsylvania as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $126,861 per year, or $61 per hour.

Senior Analytics Engineer

C3 Industries

Philadelphia, PA • On-site

$105K - $144K/yr

Full-time

Posted 2 days ago

New

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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