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Data Insight Jobs in Philadelphia, PA (NOW HIRING)

Data Analyst

Dresher, PA · On-site

$65 - $90/hr

Derive and communicate data insights * Stay updated on industry trends, emerging technologies, and best practices related to data analysis and BI Expectations of qualified candidates: * Have a ...

Derive and communicate data insights * Stay updated on industry trends, emerging technologies, and best practices related to data analysis and BI Expectations of qualified candidates: * Have a ...

... data, insight, and reporting support. * Strengthen internal controls by reviewing accounting practices, refining procedures, and promoting compliance with established policies and regulations.

Partners with stakeholders (Product, Data Management, Analytics & Insights teams, Wealth Management, Client Experience) in the delivery of analytics to strengthen enrichment products and reduce ...

Partners with stakeholders (Product, Data Management, Analytics & Insights teams, Wealth Management, Client Experience) in the delivery of analytics to strengthen enrichment products and reduce ...

How You 'll Contribute Responsible for analyzing and transforming aggregated financial data into actionable insights for advisors, enterprises and partners. Develops analysis to enable better ...

How  You 'll  Contribute Responsible for analyzing and transforming aggregated financial data into actionable insights for advisors, enterprises and partners. Develops analysis to enable better ...

Showing results 21-40

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 Sep 7, 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 a data insight professional?

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 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 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 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:

Infographic showing various Data Insight job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $166,518 per year, or $80.1 per hour.

Data Visualization Senior Associate

JPMorgan Chase & Co.

Wilmington, DE • On-site

$90 - $130/hr

Other

Re-posted 9 hours ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 175 rated banks


Job description

As a Data Visualization Senior Associate on the CCB Finance Data & Insights Auto Team, you will be part of an agile product team focused on developing, producing, and transforming financial data and reporting for the Auto product. Leveraging your analytical skills and passion for turning raw data into actionable insights, you will create impactful data visualizations and intelligence solutions that support key strategic initiatives across the organization.

You will assist in identifying and evaluating opportunities to streamline manual processes and implement automation tools such as Alteryx, Tableau, and/or ThoughtSpot to deliver efficient, automated solutions. Your responsibilities will include extracting, analyzing, and summarizing data for ad hoc stakeholder requests, as well as contributing to the ongoing modernization of our data environment, including migration to cloud platforms.

Job Responsibilities
  • Responsible for end-to-end preparation of intelligent solutions by development of dashboards using Tableau, Alteryx, ThoughtSpot and SQL. Your work will support analysis delivered to senior management and various stakeholders for the LOB.
  • Develop and enhance Alteryx workflows, collecting data from disparate data sources and summarizing the data as defined in requirements gathering with the stakeholders. Follow best practices to ensure that data is sourced from authoritative data sources.
  • Develop and enhance data visualizations utilizing Tableau/Thoughtspot to provide intuitive insights and help with decision support to our key stakeholders.
  • Conduct thorough validation of each component of the intelligence solution providing evidence that all data and visualizations are reporting accurate insights and evidence in the control process
  • Engage in testing and meetings for related server upgrades, data source changes, and other technology components that we source data from.
  • Leverage firm-supported AI and GenAI tools such as Copilot, LLM Suite, and other approved AI platforms to enhance productivity, accelerate analytics development, improve documentation quality, automate repetitive tasks, and support data-driven decision making.
  • Become a subject matter expert in these responsibilities and mentor team members in becoming more proficient themselves
Required qualifications, capabilities, and skills
  • Bachelor’s degree in MIS or Computer Science, Mathematics, Engineering, Statistics or other quantitative subjects, or Financial subjects
  • Minimum 3 years’ experience working with data analytics projects, preferably related to financial services domain.
  • Minimum 3 years’ experience developing advanced data visualization and presentations, preferably with Tableau.
  • Experience with business intelligence analytic and data wrangling tools such as Alteryx, Tableau Prep, or other data preparation tool.
  • Experience with relational databases optimizing SQL to pull and summarize large datasets, report creation and ad-hoc analyses.
  • Demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data.
  • Self-starter who can provide thought leadership and drive results in a dynamic and fast evolving environment.
Preferred qualifications, capabilities and skills
  • Experience with Spark SQL, Databricks, Snowflake or other big-data query tools
  • Strong written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions
  • Experience in reporting development and testing, and ability to interpret unstructured data and draw objective inferences given known limitations of the data
  • Experience with other data wrangling tools such as SAS or Python.
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