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Data Analytics Jobs in Reading, PA (NOW HIRING)

Mondo

Senior Maintenance Analyst

Reading, PA · On-site

$55 - $58/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 ...

Aspect Resources

HR Data Analyst - SC

Reading, PA

£30 - £31.50/hr

HR Data Analyst - SC Location: Reading Contract Duration: 6 Months Daily Rate: 31.50/hr (Umbrella - Maximum) IR35 Status: Inside IR35 Security Clearance: SC Top 3 Evaluation Criteria Strong ...

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 ...

Penske

Data Scientist

Reading, PA

Analyze vehicle, supplier, cost, market, maintenance, telematics, resale, and operational data to identify planning opportunities, cost savings, and process improvements. Identify data sources ...

Penske

Data Scientist

Reading, PA · On-site

Supports Penske's Procurement & Fleet Planning team by developing and delivering advanced analytics, reporting, and data science solutions that support fleet planning, vehicle acquisition ...

Penske

Data Scientist

Reading, PA

Analyze vehicle, supplier, cost, market, maintenance, telematics, resale, and operational data to identify planning opportunities, cost savings, and process improvements. Identify data sources ...

Penske

Senior Business Analyst

Reading, PA · On-site

$88K - $114K/yr

Minimum 7+ years of experience working in diverse areas with a focus on data/business analytics, sales data management, and management interactions for driving profit improvement initiatives.

Penske

Senior Business Analyst

Reading, PA

$88K - $114K/yr

Minimum 7+ years of experience working in diverse areas with a focus on data/business analytics, sales data management, and management interactions for driving profit improvement initiatives.

Penske

Senior Business Analyst

Reading, PA · On-site

$88K - $114K/yr

Minimum 7+ years of experience working in diverse areas with a focus on data/business analytics, sales data management, and management interactions for driving profit improvement initiatives.

DaVita

Reporting Analyst (ROPS)

Bowers, PA

Reporting & Analytics: Automated reporting, dashboard maintenance, data quality, and actionable insights * Business Partnership: Requirements gathering, stakeholder communication, and project ...

Vinsari LLC

Data Architect

Reading, PA · On-site

$61.25 - $78.75/hr

Design scalable cloud-based data platforms, data warehouses, and data lake solutions to support business intelligence, analytics, and AI initiatives. Lead the design and implementation of data ...

New

Varsity Tutors

Data Science Tutor

Reading, PA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Generis TEK Inc.

Data Architect-Hybrid

Reading, PA · On-site

$55 - $60/hr

Design scalable cloud-based data platforms, data warehouses, and data lake solutions to support business intelligence, analytics, and AI initiatives. * Lead the design and implementation of data ...

New

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Showing results 21-40

All JobsData Analytics JobsData Analytics Jobs in Reading, PA

Data Analytics information

See Reading, PA salary details

$23

$52

$90

How much do data analytics jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data analytics in Reading, PA is $52.58, according to ZipRecruiter salary data. Most workers in this role earn between $42.26 and $59.57 per hour, depending on experience, location, and employer.

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, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

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.

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 jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

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.

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.

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 are the most commonly searched types of Data Analytics jobs in Reading, PA? The most popular types of Data Analytics jobs in Reading, PA are:
What job categories do people searching Data Analytics jobs in Reading, PA look for? The top searched job categories for Data Analytics jobs in Reading, PA are:
What cities near Reading, PA are hiring for Data Analytics jobs? Cities near Reading, PA with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Reading, PA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $109,358 per year, or $52.6 per hour.

Senior Maintenance Analyst

Mondo

Reading, PA • On-site

$55 - $58/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 24 days ago

Job description

Apply now: Senior Maintenance Analyst, location is Onsite. The start date is ASAP for this contract-to-hire position.

Job Title: Senior Maintenance Analyst Location-Type: Onsite (Reading, PA) Start Date Is: ASAP Duration: 6-Month Contract-to-Hire Compensation Range: $55-$58 per hour W2 Benefits: Eligible for Health, Dental, Vision, 401K Must be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description: Seeking a Senior Maintenance Analyst to support the development of scalable data products, analytics solutions, and reporting capabilities that drive operational decision-making across multiple business functions.

Day-to-Day Responsibilities:

  • Develop and maintain scalable, reusable data products for cross-functional business teams
  • Build and optimize SQL queries, ETL processes, and data transformation workflows
  • Develop analytics solutions using Python and PySpark
  • Support data pipeline design, validation, and governance initiatives
  • Partner with stakeholders to gather requirements and translate business needs into data solutions
  • Collaborate with data science, engineering, and reporting teams to deliver standardized data products
  • Evaluate and recommend appropriate technologies based on business requirements, cost, and scalability
  • Support data visualization and reporting initiatives
  • Ensure data quality, integrity, and governance standards are maintained
  • Analyze large-scale datasets and provide actionable business insights

Minimum Requirements:

  • 3-5 years of data analytics, data engineering, or related experience
  • Expert-level SQL skills including joins, CTEs, window functions, and complex query development
  • Experience with ETL processes and data cleansing
  • Strong Python development experience
  • Experience developing solutions using PySpark
  • AWS cloud services experience
  • Experience working with large datasets and enterprise-scale data environments
  • Strong analytical and problem-solving abilities
  • Excellent communication and stakeholder management skills
  • Ability to work independently and take ownership of projects

Preferred Qualifications:

  • Experience with Tableau, Qlik Sense, or similar visualization tools
  • Experience with SQL Server, Oracle, IBM DB2, or related databases
  • Power Platform experience
  • Exposure to data science, forecasting, or predictive analytics initiatives
  • Knowledge of geospatial analysis or ESRI/ArcGIS concepts
  • Experience supporting cloud and on-premises data ecosystems