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Data Feed Analyst Jobs (NOW HIRING)

blueStone

Sr. Business Analyst

Indianapolis, IN

$88K - $114K/yr

Perform data analysis and business acumen to document the business/technical requirements needed to develop effective data-feed interfaces. * Collaborate with clients and management to enhance the ...

Point72

Market Data Solutions Specialist

New York, NY · On-site

Administer market data feed permissions, manage exchange audits, and ensure the firm's data access and usage is compliant with licensing agreements; monitor and analyze data notifications and policy ...

KANINI

Data Migration Engineer

Nashville, TN · On-site

$110K - $132K/yr

Act as a liaison between business users and the technical team to ensure requirements are clearly understood and translated. 2. Data Feed Assessment & Gap Analysis Review existing data feeds ...

GlobalGiving Foundation

Head of Data & Analytics

$135K - $150K/yr

... analyst bottlenecks * Proactively surface insights about donor behavior, nonprofit partner ... Experience building or evaluating a B2B data product (e.g., an external API or data feed sold to ...

Cushman & Wakefield

Lead Data Engineer

$104K - $138K/yr

... and Change Data Feed strategies. * Own CI/CD processes and infrastructure automation using ... Proficiency in multiple programming languages used in data engineering and analytics (e.g., PySpark ...

Wells Fargo

Market Data Platform Engineer

Iselin, NJ

$116K - $139K/yr

Analyze and resolve issues related to real-time data delivery, including feed gaps, latency, stale data, and symbology mismatches * Design and implement automation using UNIX/Linux scripting to ...

Wells Fargo

Market Data Platform Engineer

Charlotte, NC

$111K - $134K/yr

Analyze and resolve issues related to real-time data delivery, including feed gaps, latency, stale data, and symbology mismatches * Design and implement automation using UNIX/Linux scripting to ...

VDart, Inc.

AI Platform Engineer

Atlanta, GA · On-site

Delta Lake internals : transaction log, time travel, and Change Data Feed (CDF). * SQL and data modeling: comfortable with point-lookup vs analytical query patterns. * CI/CD: GitLab or GitHub Actions ...

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Data Feed Analyst information

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$34K

$82.6K

$136K

How much do data feed analyst jobs pay per year?

As of Jun 11, 2026, the average yearly pay for data feed analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

Is a data analyst a well paid job?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with experience and certifications. Overall, it is considered a well-paying role within the data and analytics field.

What is the difference between Data Feed Analyst vs Data Analyst?

AspectData Feed AnalystData Analyst
Required CredentialsBachelor's in IT, Computer Science, or related field; familiarity with data feeds and e-commerce platformsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentPrimarily in e-commerce, digital marketing, or retail companies managing product data feedsAcross various industries including finance, healthcare, marketing, analyzing diverse data sets
Employer & Industry UsageUsed by online retailers, marketplaces, and digital marketing agenciesUsed across multiple sectors for business insights and decision-making

The main difference is that Data Feed Analysts focus on managing and optimizing product or data feeds for online platforms, while Data Analysts interpret and analyze data to support business decisions across various industries.

Is AI replacing data analysts?

AI tools are automating certain data processing and analysis tasks, but data analysts play a crucial role in interpreting insights, making strategic decisions, and ensuring data quality. The role of a Data Feed Analyst involves managing data feeds and using analytical skills, which remain essential despite advancements in AI automation. Professionals in this field should focus on developing skills in data management, visualization, and AI tools to stay relevant.

How does a Data Feed Analyst typically collaborate with engineering and product teams?

Data Feed Analysts work closely with engineering and product teams to ensure smooth integration and optimal performance of data streams. They help troubleshoot data discrepancies, communicate requirements for new data sources, and provide feedback on data quality issues. Regular cross-functional meetings and shared project management tools are common, enabling analysts to align data feed specifications with product goals and technical capabilities. This collaboration is essential for maintaining accurate, reliable data pipelines that support business decision-making.

What are the top 3 skills for a data analyst?

A data feed analyst, as a type of data analyst, typically needs strong analytical skills to interpret data accurately, proficiency in data management tools like Excel, SQL, or Python, and good communication skills to present findings clearly. Technical expertise in data visualization and understanding of data quality are also important for effective analysis. These skills enable analysts to extract insights and support decision-making processes efficiently.

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

To thrive as a Data Feed Analyst, you need strong analytical skills, attention to detail, and a solid understanding of data management principles, often supported by a degree in computer science, information systems, or a related field. Familiarity with data feed technologies, SQL, scripting languages, and data integration platforms is typically required, along with experience in using tools like Excel or specialized data monitoring systems. Exceptional problem-solving abilities, effective communication, and the capacity to work under pressure help candidates excel in this role. These skills and qualities are essential for ensuring data accuracy, timely delivery, and seamless integration that support business operations and decision-making.

What does a Data Feed Analyst do?

A Data Feed Analyst is responsible for managing, analyzing, and optimizing data feeds that supply information to systems, websites, or applications. They ensure the accuracy, integrity, and timeliness of the data, troubleshoot issues, and work with both technical and business teams to deliver reliable data streams. Their role often involves monitoring feed performance, identifying data discrepancies, and implementing solutions to improve data quality. Data Feed Analysts play a key role in supporting data-driven decision-making within an organization.

Can I be a data analyst in 3 months?

Becoming a data feed analyst or data analyst typically requires several months of training in data management, SQL, Excel, and analytics tools. While intensive bootcamps or courses can provide foundational skills in around 3 months, gaining proficiency and experience usually takes longer for most roles.
More about Data Feed Analyst jobs
What job categories do people searching Data Feed Analyst jobs look for? The top searched job categories for Data Feed Analyst jobs are:
Data Feed Analyst jobs near you
Infographic showing various Data Feed Analyst job openings in the United States as of June 2026, with employment types broken down into 72% Full Time, 7% Temporary, and 21% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Sr. Business Analyst

blueStone

Indianapolis, IN

$88K - $114K/yr

Full-time

Posted yesterday

Job description

Company Description

blueStone Executive Search specializes in technical searches, aligning top IT professionals with superior companies worldwide,

Job Description

We are seeking an experienced Sr. Data or Business Analyst on a full-time, permanent basis for our client, a recognized and viable $350M+ organization, a leader in their vertical - nationally. The Sr. Business Analyst  will serve as a leader in data analysis to collaborate with clients and management to enhance the value of our client's products and services. The qualified candidate will be responsible for the following:
Sr. Business Analyst Essential Duties:

  • Develop data requirements to based on customer feedback and definition.
  • Deliver data products in presentation format to customers.
  • Work on ad-hoc data requests.
  • Explain data pulls and reporting to IT and business users to validate requirements are correct and understood. 
  • Maintain working relationships with internal and external customers and resolve issues that may arise. 
  • Quarterly and monthly analysis, including variance analysis. 
  • Conduct projects and participate in problem solving and improvement team activities.
  • Perform data analysis and business acumen to document the business/technical requirements needed to develop effective data-feed interfaces. 
  • Collaborate with clients and management to enhance the value of our products and services. 
  • Build cross-departmental understanding of the importance of data quality, completeness, and timeliness. 
  • Determine and analyze customer requirements, use system data, and provide input needed by various departments and senior management to produce business and scientific reports. 
  • Research and develop analysis of new product ideas. 
  • Operates with minimal supervision
Qualifications
  • Bachelor's degree.
  • Working knowledge of SQL and Excel required and knowledge of VBA and statistical languages preferred. 
  • Minimum of 4 years in a role of data analysis, statistical analysis, data transformation, data reconciliation and/or sophisticated data presentation. 
  • Proven ability to work independently through analysis of data to identify business trends, opportunities, and anomalies. 
  • Intuition for and experience with predictive modeling a plus.
Additional Information

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