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Data Services Jobs (NOW HIRING)

ManTech International

SAP Data Services Tester

$89K - $148K/yr

The SAP Data Services Tester is responsible for validating the reliability and performance of SAP implementations, ensuring technical processes map flawlessly to business needs. They design test ...

Genpact

Sr. Analyst - Business Data Services 4A

$88K - $111K/yr

Sr. Analyst - Business Data Services Ready to turn bold ideas into real-world impact? At Genpact, we don't just adapt to change, we lead it. AI and digital innovation are transforming the way ...

Genpact

Sr. Analyst - Business Data Services 4A

$88K - $111K/yr

Sr. Analyst - Business Data Services Ready to turn bold ideas into real-world impact? At Genpact, we don't just adapt to change, we lead it. AI and digital innovation are transforming the way ...

Crum & Forster

SQL Developer - Digital Data Services

NY · Remote

$46.25 - $63.50/hr

The Specialty & Surplus Digital Data Services team leverages Agile software development principles to achieve success in its support of the business. We are a dynamic organization always on the ...

Crum & Forster

SQL Developer - Digital Data Services

FL · Remote

$46.25 - $63.50/hr

The Specialty & Surplus Digital Data Services team leverages Agile software development principles to achieve success in its support of the business. We are a dynamic organization always on the ...

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DATA Services information

What are data services?

Data services refer to a range of solutions and processes that manage, process, store, and deliver data within an organization. These services can include data integration, data migration, data analytics, data storage, and data security. Data services help organizations ensure their data is accessible, reliable, and usable for decision-making and business operations. Professionals working in data services often support data quality, governance, and compliance initiatives.

What are the key skills and qualifications needed to thrive in a data services role?

A Data Services professional needs a solid background in data management, analytics, and database technologies, often supported by a degree in computer science or information systems. Familiarity with SQL, data integration tools, cloud platforms, and certifications like AWS Certified Data Analytics or Microsoft Certified: Data Analyst Associate are common requirements. Strong problem-solving, attention to detail, and effective communication skills help standout candidates efficiently interpret and share data insights. These competencies ensure data is accurate, accessible, and valuable for organizational decision-making.

What are some common challenges faced by professionals in data services roles, and how can they be addressed?

Professionals in Data Services often encounter challenges such as managing large volumes of data, ensuring data quality, and integrating data from multiple sources. Staying up-to-date with evolving technologies and best practices is essential to address these challenges. Collaboration with IT, analytics, and business teams is also key to ensuring data solutions meet organizational needs while maintaining data security and compliance standards. Proactively developing strong communication skills and a solid understanding of data governance can help you thrive in this dynamic environment.

What is the difference between Data Services vs Data Analysts?

AspectData ServicesData Analysts
CredentialsTypically requires certifications in data management, database systems, or related fieldsOften requires degrees or certifications in data analysis, statistics, or related areas
Work EnvironmentInvolves working with data infrastructure, databases, and data pipelinesFocuses on analyzing data sets, creating reports, and deriving insights
Employer & Industry UsageUsed across IT, finance, healthcare, and tech companies for data managementCommonly employed in business, marketing, finance, and research sectors for data interpretation

Data Services primarily focus on managing, maintaining, and supporting data infrastructure, while Data Analysts concentrate on analyzing data to generate insights. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

More about DATA Services jobs
What cities are hiring for Data Services jobs? Cities with the most Data Services job openings:
What are the most commonly searched types of Data Services jobs? The most popular types of Data Services jobs are:
What states have the most Data Services jobs? States with the most job openings for Data Services jobs include:
What job categories do people searching Data Services jobs look for? The top searched job categories for Data Services jobs are:
DATA Services jobs near you
Infographic showing various Data Services job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, 1% Temporary, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Client Support Specialist, Data Services

Intercontinental Exchange Holdings, Inc.

Jacksonville, FL • On-site

Full-time

Re-posted 22 days ago

Job description

Overview

Job Purpose 

ICE Data Services, a leading provider of financial market data, is seeking a dynamic Client Support Specialist to join our team. This role is a key part of our global, front-line support organization, delivering high-quality technical support, financial data, and client service to customers worldwide. The position involves troubleshooting client inquiries and collaborating closely with internal teams and stakeholders to ensure timely and effective resolution.

The ideal candidate brings a strong combination of technical expertise, client-facing experience, and an understanding of financial markets. This role requires working closely with global clients and cross-functional support teams on a broad range of critical activities to ensure a seamless and high-quality client experience.

Responsibilities

  • Troubleshoot and resolve client issues efficiently using internal tools, knowledge bases, and financial data knowledge to identify root causes
  • Accurately log, track, and manage all client interactions and case details within the CRM system (Salesforce)
  • Identify and escalate complex, high-impact, or systemic issues to appropriate internal teams, ensuring timely follow-up and clear client communication
  • Support first-contact resolution goals while maintaining high standards of client service and satisfaction
  • Analyze data to validate issues, identify discrepancies, and support resolution efforts
  • Partner with cross-functional teams to drive issue resolution and improve client outcomes
  • Contribute to updating documentation, workflow mapping, and continuous improvement initiatives across client support and data operations
  • Assist in data validation, reconciliation, and quality assurance efforts to ensure accuracy and reliability of financial datasets

Preferred Knowledge and Experience

  • Bachelor's degree in Business, Finance, Economics, Information Technology, or a related field
  • 2+ years of experience in client support, data operations, or financial services preferred
  • Exceptional written and verbal communication skills in English with the ability to clearly convey technical and non-technical information to diverse audiences
  • Strong organizational and time management skills with the ability to prioritize competing tasks and meet deadlines in a fast-paced environment
  • Proven ability to collaborate across teams and adapt quickly in a dynamic, global environment
  • Strong analytical and problem-solving capabilities, particularly in diagnosing data and system-related issues
  • Experience working with CRM or ticketing systems (e.g., Salesforce, ServiceNow)
  • Client-focused mindset with a proactive, detail-oriented approach to issue resolution
  • Proficiency in Microsoft Office Suite, with advanced skills in Excel (data analysis, pivot tables, lookups, etc.)
  • Demonstrate strong familiarity with financial markets and data terminology, including fixed income, equities, derivatives, and market data concepts; effectively interpret and support instrument-level data in a client-facing environment
  • Demonstrate proficiency with AI tools and workflows beyond basic productivity use, including applying AI to automate processes, analyze data, and develop practical business solutions

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----------Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.Employment Type: FULL_TIME

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