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Data Analytics Jobs in Lancaster, PA (NOW HIRING)

Robert Half

Data Analyst

New Holland, PA · On-site

$100K - $110K/yr

This role will be responsible for maintaining trusted data assets, identifying and resolving data quality issues, and supporting ongoing modernization initiatives through advanced analytics and ...

New

Penske

Data Analyst

Reading, PA

This position partners across Payroll, HR, Finance, and IT to develop scalable analytics and automation solutions that elevate payroll from a transactional function to a data-driven business ...

Amphenol TCS

Data Analyst

Yocumtown, PA · On-site

Bachelor's degree in Data Science, Applied Mathematics, Statistics, Analytics, or a related field required. MS preferred. * Comfort working with messy, real-world data, including cleaning ...

Amphenol TCS

Data Analyst

Yocumtown, PA · On-site

Bachelor's degree in Data Science, Applied Mathematics, Statistics, Analytics, or a related field required. MS preferred. * Comfort working with messy, real-world data, including cleaning ...

Amphenol Corporation

Data Analyst

Yocumtown, PA · On-site

$80 - $100/hr

Bachelor's degree in Data Science, Applied Mathematics, Statistics, Analytics, or a related field required. MS preferred. * Comfort working with messy, real-world data, including cleaning ...

Amphenol ICC

AI Data & Business Analyst

Yocumtown, PA · On-site

$100 - $125/hr

AI Data & Business Analyst Location: Etters, PA Amphenol High Speed Products Group is the market ... Initial priorities include cost-modeling and capacity analytics, followed by NPI knowledge ...

Amphenol TCS

AI Data & Business Analyst

Yocumtown, PA · On-site

AI Data & Business Analyst Location: Etters, PA Amphenol High Speed Products Group is the market ... Initial priorities include cost-modeling and capacity analytics, followed by NPI knowledge ...

Amphenol TCS

AI Data & Business Analyst

Yocumtown, PA · On-site

AI Data & Business Analyst Location: Etters, PA Amphenol High Speed Products Group is the market ... Initial priorities include cost-modeling and capacity analytics, followed by NPI knowledge ...

Mondo

Senior Maintenance Analyst

Reading, PA · On-site

$55 - $70/hr

Develop analytics solutions using Python and PySpark * Support data pipeline design, validation, and governance initiatives * Partner with stakeholders to gather requirements and translate business ...

Cleveland Brothers

Data Steward

Harrisburg, PA · On-site

Helps to identify, report, analyze, and resolve data issues related to uniqueness, integrity, accuracy, consistency, and completeness * Establishes and enforces data standards, naming conventions ...

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All JobsData Analytics JobsData Analytics Jobs in Lancaster, PA

Data Analytics information

See Lancaster, PA salary details

$23

$53

$91

How much do data analytics jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data analytics in Lancaster, PA is $53.21, according to ZipRecruiter salary data. Most workers in this role earn between $42.74 and $60.29 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Lancaster, PA?

The most popular types of Data Analytics jobs in Lancaster, PA are:

What are popular job titles related to Data Analytics jobs in Lancaster, PA?

For Data Analytics jobs in Lancaster, PA, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Lancaster, PA look for?

The top searched job categories for Data Analytics jobs in Lancaster, PA are:

What cities near Lancaster, PA are hiring for Data Analytics jobs?

Cities near Lancaster, PA with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Lancaster, PA as of August 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 100% In-person job distribution, with an average salary of $110,667 per year, or $53.2 per hour.

Data Analyst

Robert Half

New Holland, PA • On-site

$100K - $110K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Our client is seeking an experienced Senior Data Operations Analyst to play a key role in transforming enterprise data into actionable business intelligence. This individual will help drive informed decision-making across underwriting, pricing, claims operations, fraud prevention, and customer experience initiatives while ensuring the organization's reporting environment remains accurate, reliable, and scalable.
The successful candidate will serve as a critical liaison between business stakeholders and technical teams, overseeing data validation, reporting accuracy, and data governance efforts across the organization. This role will be responsible for maintaining trusted data assets, identifying and resolving data quality issues, and supporting ongoing modernization initiatives through advanced analytics and reporting solutions.
Key Responsibilities
Maintain and validate centralized data repositories, ensuring data integrity, consistency, and timely availability.
Reconcile and verify data across source systems, data warehouses, semantic models, and reporting platforms.
Investigate data discrepancies and partner with Data Engineering and QA teams to implement sustainable solutions.
Design, develop, and support operational dashboards and reporting solutions using Power BI.
Assist with migration of legacy reporting processes to modern business intelligence platforms.
Manage datasets, semantic models, report distributions, and reporting governance processes.
Collaborate with business leaders to define reporting requirements and establish data standards.
Monitor reporting environments and batch processing activities, including month-end, quarter-end, and year-end operations.
Drive continuous improvement initiatives focused on operational efficiency, data quality, and reporting effectiveness.
Qualifications
Experience within the Property & Casualty insurance industry is required
Bachelor's degree in Data Science, Statistics, Actuarial Science, or a related discipline preferred.
8+ years of data analytics, data operations, or business intelligence
Strong technical skills in SQL, Python, Excel, ETL processes, data warehousing, and Power BI.
Experience with Microsoft Fabric and Medallion Architecture methodologies.
Working knowledge of insurance operations, rating structures, actuarial concepts, risk modeling, and regulatory requirements.
Ability to partner effectively with technical teams, business stakeholders, and cross-functional leadership groups.
Experience with Origami and/or DXC Assure Claims is a plus.Data Analysis, Data Warehousing, SQL, Python, Insurance Companies, Property Casualty Insurance, Business operations
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About Robert Half

Sourced by ZipRecruiter

Founded in 1948, Robert Half pioneered the idea of professional talent solutions to connect opportunities at great companies with highly skilled job seekers. As business needs changed, we evolved to offer specialized talent solutions for finance and accounting, technology, administrative and customer support, creative and marketing, and legal fields. In 2002, we introduced our subsidiary, Protiviti, a global independent risk consulting and internal audit service, to support companies as they faced more strategic business challenges.

Industry

Recruiting and staffing services

Company size

10,000+ Employees

Headquarters location

San Ramon, CA, US

Year founded

1948

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