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Data Analytics Jobs in Philadelphia, PA (NOW HIRING)

Kanak Elite Services Inc

Data Analytics

Malvern, PA · On-site

TITLE: MARKETING DATA/EXPERIMENTATION ANALYTICS (LEVEL 3) LOCATION: MALVERN, PA (HYBRID ROLE) RELOCATION IS FINE DURATION: INITIAL 6-12 MONTHS + OPTIONS TO EXTEND - LONG TERM CONTRACT ROLE ...

Lincoln Financial

Specialist, Data Analytics

Radnor, PA · Hybrid

$55/hr

In the Specialist, Data Analytics role you will be a member of an experienced team providing reporting, data, and analytics solutions. You will drive automation and efficiency as you develop ...

New

IQVIA

Data Analytics Analyst II

Philadelphia, PA · Remote

$56K - $140K/yr

Data Analytics Analyst II The Analytics team within IQVIA's Patient Access & Support Services (PASS) group is an exciting and dynamic healthcare practice where you can start or continue your career ...

Barclays

Data Analytics Lead, AVP

Wilmington, DE · Hybrid

Identification and extraction of relevant data from various internal and external sources. * Performing sensitivity analysis and scenario planning. * Monitoring and evaluation of the performance of ...

Munich Re

Technical Architect - Data, Analytics & AI

Exton, PA · Hybrid

$61.50 - $79.25/hr

This role is accountable for proactively leading data, analytics, and AIdriven technology transformation initiatives and enabling measurable business outcomes across the enterprise. The Technical ...

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All JobsData Analytics JobsData Analytics Jobs in Philadelphia, PA

Data Analytics information

See Philadelphia, PA salary details

$23

$52

$90

How much do data analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data analytics in Philadelphia, PA is $52.32, according to ZipRecruiter salary data. Most workers in this role earn between $42.02 and $59.28 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 Philadelphia, PA? The most popular types of Data Analytics jobs in Philadelphia, PA are:
What are popular job titles related to Data Analytics jobs in Philadelphia, PA? For Data Analytics jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Philadelphia, PA look for? The top searched job categories for Data Analytics jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Data Analytics jobs? Cities near Philadelphia, PA with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $108,831 per year, or $52.3 per hour.

Data Analytics

Kanak Elite Services Inc

Malvern, PA • On-site

Contractor

Re-posted 13 days ago

Job description

Hello There,

Wish you a Happy Wednesday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email yashmita@kanakits.com with your updated resume.  

TITLE:  MARKETING DATA/EXPERIMENTATION ANALYTICS (LEVEL 3)

LOCATION: MALVERN, PA (HYBRID ROLE) RELOCATION IS FINE

DURATION: INITIAL 6-12 MONTHS + OPTIONS TO EXTEND - LONG TERM CONTRACT ROLE

Responsibilities:

  • Develop, analyze, and share results of marketing experiments, including both matched-market and randomized A/B across paid and owned channels.
  • Partner with Data Scientists, to enhance MMM/MTA models with experimentation results.
  • Other analyses and data support as needed.

Qualifications (Minimum 5-8 years):

  • Bachelor’s degree and industry certification preferred.
  • 5-8 years’ experience and relevant skill set in the subject matter required. Has extensive knowledge of subject matter and extensive knowledge of the business.