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Data Analytics Jobs in Sewell, NJ (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 ...

IQVIA

Associate Director, Data Analytics

Wayne, PA · Remote

The Associate Director of Data Analytics provides technical and people leadership to design, build, and scale data and analytics solutions that support regulatory compliance, operational performance ...

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All JobsData Analytics JobsData Analytics Jobs in Sewell, NJ

Data Analytics information

See Sewell, NJ salary details

$23

$51

$89

How much do data analytics jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data analytics in Sewell, NJ is $51.78, according to ZipRecruiter salary data. Most workers in this role earn between $41.59 and $58.65 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 cities near Sewell, NJ are hiring for Data Analytics jobs?

Cities near Sewell, NJ with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Sewell, NJ as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $107,694 per year, or $51.8 per hour.

Data Analytics

Kanak Elite Services Inc

Malvern, PA • On-site

Contractor

Re-posted 11 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.