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Data Insight Jobs in Philadelphia, PA (NOW HIRING)

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA

Performs analyses of historical data to surface trends and insights using advanced analytical methods. Validates analytical techniques employed by other analysts. * Prepares and delivers expert level ...

Athenago

Data Science Intern

Wilmington, DE

Build and refine matching models to evaluate Athena's Executive Partners (XPs) and clients, ensuring optimal pairings between them based on data insights. * Analyze large and diverse datasets (e.g ...

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All JobsData Insight JobsData Insight Jobs in Philadelphia, PA

Data Insight information

See Philadelphia, PA salary details

$46.4K

$166.5K

$245.7K

How much do data insight jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data insight in Philadelphia, PA is $166,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,700.00 and $171,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Insight vs Data Analyst?

AspectData InsightData Analyst
Required CredentialsTypically a degree in data science, analytics, or related fields; certifications like Tableau, Power BIOften a degree in statistics, mathematics, or related fields; certifications in Excel, SQL, or analytics tools
Work EnvironmentCollaborates with business teams to provide strategic insights; may work in tech, finance, marketingAnalyzes data sets, prepares reports, and visualizations; works across various industries
Employer & Industry UsageUsed by companies seeking actionable insights for decision-makingEmployed in diverse sectors for data analysis and reporting

Data Insight professionals focus on deriving strategic insights from data to inform business decisions, often working closely with stakeholders. Data Analysts primarily analyze data sets, create reports, and visualize data to support operational and strategic needs. While both roles require analytical skills and familiarity with data tools, Data Insights roles tend to emphasize strategic thinking and business impact, whereas Data Analysts focus on data processing and reporting.

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

To thrive as a Data Insight professional, you need strong analytical skills, statistical knowledge, and a background in data science or a related field. Proficiency in data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI, along with relevant certifications, is typically required. Exceptional problem-solving abilities, business acumen, and effective communication skills help translate complex data into actionable insights. These capabilities are critical for driving data-driven decisions and generating measurable business value.

What are Data Insight professionals?

Data Insight professionals are experts who analyze and interpret data to uncover valuable trends, patterns, and actionable information that help organizations make informed decisions. They use various analytical tools and techniques to transform raw data into meaningful insights that can drive business strategies, optimize operations, and solve complex problems. Their work typically involves collecting, cleaning, and processing data, as well as presenting findings to stakeholders in a clear and impactful way.

How does a Data Insight professional typically collaborate with other departments within an organization?

Data Insight professionals frequently work cross-functionally, partnering with teams such as marketing, product, finance, and operations to translate raw data into actionable business strategies. They often participate in meetings to understand stakeholder goals, gather requirements, and present their findings through clear reports or visualizations. Effective communication and the ability to tailor insights for non-technical audiences are crucial, as these professionals help bridge the gap between data analysis and strategic decision-making across the company.
What are popular job titles related to Data Insight jobs in Philadelphia, PA? For Data Insight jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Data Insight jobs in Philadelphia, PA look for? The top searched job categories for Data Insight jobs in Philadelphia, PA are:
Data Insight jobs near you
Infographic showing various Data Insight job openings in Philadelphia, PA as of June 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $166,518 per year, or $80.1 per hour.
Data Insight & Reporting Analyst

Data Insight & Reporting Analyst

Apex Informatics

Philadelphia, PA • On-site

Contractor

Posted 2 days ago

Job description

Job Title- Data Insight & Reporting Analyst
Location- Philadelphia, PA (Hybrid)
Duration- 10 Months (C2H Role)
Job Details:
Senior Data Insight & Reporting Analyst consults with cross-functional teams to identify data and analytical needs, gather the necessary data, conduct detailed analyses, review actionable insights/findings with leadership to assist in their decision-making and facilitate related process/data improvement efforts.
This position is within the Operations Reporting & Analytics team and supports operational improvement initiatives.
Responsibilities:
• Derive insights from data analysis, conduct root-cause analysis of operational issues identified by the data, and provide recommendations to remediate operational issue
• Transform raw data and analysis into data visualizations and interactive dashboards using dashboard tools
• Drive understanding of our members and their interaction with our call center, through in-depth analyses of user interaction, engagement, and transcribed calls
Skills/Qualifications:
• Bachelor's Degree (e.g., Statistics, Engineering, or Economics)
• 5+ years of experience in Data Analytics
• Manage, transform, and analyze data using SQL
• Experience with data visualization tools, such as Power BI and Tableau
• Comfortable with ambiguity with the ability to challenge traditional thinking to solve problems

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