1

Data Analytics Jobs in Lancaster, PA (NOW HIRING)

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 ...

Data Analyst

Yocumtown, PA ยท On-site

$65 - $90/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 ...

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 ...

Data Analyst

Yocumtown, PA ยท On-site

$65 - $95/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 ...

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 ...

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 ...

Senior Maintenance Analyst

Reading, PA ยท 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 ...

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

next page

Showing results 1-20

Data Analytics information

See Lancaster, PA salary details

$23

$53

$91

How much do data analytics jobs pay per hour?

As of Sep 3, 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 cities near Lancaster, PA are hiring for Data Analytics jobs?

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

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

Amphenol TCS

Yocumtown, PA โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a world leader in interconnect solutions for Communications, Mobile, RF, Optics, and Commercial electronics markets. Amphenol Corporation is one of the world’s largest designers and manufacturers of electrical, electronic and fiber optic connectors and interconnect systems, antennas, sensors and sensor-based products and coaxial and high-speed specialty cable. ACS has an expansive global presence in research and development, manufacturing, and sales. We design and manufacture a wide range of innovative connectors as well as cable assemblies for diverse applications including server, storage, data center, mobile, RF, networking, industrial, business equipment, and automotive.


Position: Data Analyst

Location: Etters, PA

Amphenol High Speed Products Group is the market leader for high-speed, high-bandwidth electrical connectors, cables, and systems for the Datacom/Telecom market (AI, ML, GPUs, Servers, Switches, Routers, Storage). Our products help to enable the artificial intelligence revolution by helping major Tier 1 Hyperscale Data Centers, their OEMs and break-out AI customers to innovate globally. Our global headquarters is in Nashua, NH and we have engineering, sales, and manufacturing locations globally. We are currently seeking detail-oriented, technically skilled Data Analysts to join our engineering team. We're hiring across experience levels, from junior to senior.

RESPONSIBILITIES:

The Data Analyst will support engineering teams by transforming raw operational data into reliable reporting and analysis that drives decision-making. Working alongside data scientists and software engineers, you will gather requirements, build and maintain dashboards, and improve the accuracy and consistency of data across multiple systems. Scope and level of ownership will be tailored to the candidate's experience.

KEY RESPONSIBILITIES:

  • Collect, clean, and validate data from multiple engineering systems, reconciling inconsistencies across sources
  • Partner with engineering stakeholders to understand reporting needs and translate them into clear, actionable dashboards and reports
  • Build and maintain SQL queries and Python scripts to automate recurring data pulls and reduce manual reporting work
  • Conduct root-cause and trend analysis to surface issues and opportunities for improvement
  • Maintain documentation for data sources, definitions, and reporting logic so outputs are consistent and repeatable across the team
  • Perform data quality checks, flagging and resolving discrepancies before they reach stakeholders
  • For more senior candidates: lead requirements-gathering on complex initiatives and mentor junior analysts

QUALIFICATIONS:

A good candidate should have 3+ years of experience as a Data Analyst or in a similar analytics role; required experience will scale with the level of the role.

  • 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, reconciling, and validating across multiple sources
  • Strong communication skills, able to gather requirements from non-technical stakeholders and explain findings clearly to mixed audiences
  • Experience mentoring or reviewing the work of others is a plus for more senior candidates

TECHNICAL EXPERTISE:

  • SQL skills, with the ability to write queries beyond pulling pre-built reports
  • Proficiency in Python (pandas or similar) for data cleaning, transformation, and automation
  • Experience with a BI/visualization tool (e.g., Tableau, Looker, Power BI)

Amphenol Corporation is proud of our reputation as an excellent employer. Our focus is to provide the highest level of support and responsiveness to both our employees and our customers, the world's largest technology companies. Amphenol Corporation offers the opportunity for career growth within a global organization. We believe that Amphenol Corporation is unique in that every employee, regardless of his or her position, has the ability to positively impact the business.

Amphenol is an “Equal Opportunity Employer” - Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity/National Origin. For additional company information please visit our website at https://www.amphenol-cs.com/


Amphenol TCS logo

About Amphenol TCS

Sourced by ZipRecruiter

Industry

Electrical equipment, appliance, and component manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Nashua, NH, US

Year founded

1968