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Data Infrastructure Analyst Jobs (NOW HIRING)

Infrastructure Analyst Posting Start Date: 7/13/26 Job Location (Short): Milwaukee, Wisconsin, USA ... and data. * Conduct regular security assessments, vulnerability scans, and patch management.

$95K - $130K/yr

Evaluate historical infrastructure and facility transition data from prior ship class changes (e.g ... Analytical & Problem-Solving: Strong analytical abilities to translate ship technical ...

We are seeking a detail-oriented and technically skilled Sales Operations Manager to lead data infrastructure, analytics, and sales planning operations for the SEA B2B Display Division. This role ...

Infrastructure Analyst

Saint Louis, MO · On-site

$65K - $78K/yr

The Infrastructure Analyst role will perform problem resolution in support of the management and ... data systems, network security, operating systems, computer system architecture and virtual ...

Data Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

Ability to work across the stack, from analyzing data to designing the systems around it * Willingness to travel to customer sites Preferred * Data infrastructure in a robotics, autonomy, or ...

Data Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

Ability to work across the stack, from analyzing data to designing the systems around it * Willingness to travel to customer sites Preferred * Data infrastructure in a robotics, autonomy, or ...

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Data Infrastructure Analyst information

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How much do data infrastructure analyst jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for data infrastructure analyst in the United States is $46.24, according to ZipRecruiter salary data. Most workers in this role earn between $37.02 and $54.57 per hour, depending on experience, location, and employer.

What is a data infrastructure analyst?

Data Infrastructure Analysts are professionals who design, maintain, and optimize the systems and architecture that store, process, and manage an organization's data. They work with databases, data warehouses, and cloud storage solutions to ensure data is accessible, reliable, and secure. Their role often involves collaborating with data engineers, IT teams, and business analysts to support data-driven decision-making. Data Infrastructure Analysts also monitor system performance, troubleshoot issues, and recommend improvements to enhance data management processes.

What are the key skills and qualifications needed to thrive as a data infrastructure analyst?

To thrive as a Data Infrastructure Analyst, you need a solid background in database management, data modeling, and systems analysis, often supported by a degree in computer science or a related field. Familiarity with SQL, ETL tools, cloud platforms (such as AWS or Azure), and certifications like AWS Certified Data Analytics or Google Cloud Data Engineer are commonly required. Strong problem-solving abilities, attention to detail, and effective communication help analysts collaborate across technical and business teams. These skills are crucial for ensuring robust, scalable data systems that support organizational decision-making and operational efficiency.

What are some common challenges data infrastructure analysts face when managing large-scale data systems?

Data Infrastructure Analysts frequently encounter challenges such as ensuring data integrity across distributed systems, optimizing data pipelines for performance, and maintaining system scalability as data volumes grow. Balancing security requirements with accessibility, especially in environments with sensitive information, is also a key concern. Additionally, collaborating with data engineers, database administrators, and business teams to align infrastructure with organizational goals requires strong communication and adaptability.

What is the difference between Data Infrastructure Analyst vs Data Engineer?

AspectData Infrastructure AnalystData Engineer
Required CredentialsBachelor's in IT, Computer Science, or related field; certifications like Microsoft Certified Data AnalystBachelor's or higher in Computer Science, Software Engineering; certifications like AWS Certified Data Analytics
Work EnvironmentCorporate offices, data centers, cloud platformsDevelopment environments, cloud platforms, data pipelines
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, finance, e-commerce, large enterprises
Common Search & ComparisonYesYes

The Data Infrastructure Analyst focuses on maintaining and optimizing existing data systems, ensuring data accessibility and quality. In contrast, Data Engineers design, build, and implement data pipelines and infrastructure from scratch. Both roles require similar credentials and often work in overlapping environments, but their core responsibilities differ in scope and focus.

What cities are hiring for Data Infrastructure Analyst jobs?

Cities with the most Data Infrastructure Analyst job openings:

What states have the most Data Infrastructure Analyst jobs?

States with the most job openings for Data Infrastructure Analyst jobs include:

What are popular job titles related to Data Infrastructure Analyst jobs?

For Data Infrastructure Analyst jobs, the most frequently searched job titles are:

Investment Infrastructure Analyst

Manhattan, NY • Hybrid

$140K - $185K/yr

Other

Posted 2 days ago

New


Job description

Investment Infrastructure Analyst

Career Launch AI Talent Network
Location: New York, NY (Hybrid)
Type: Full-Time
Compensation: $140,000 – $185,000 total compensation (varies by employer)


About This Role

This Investment Infrastructure Analyst description represents the type of early-career investment operations, analytics, and infrastructure-focused roles featured on the Career Launch AI Private Job Board.
It is not a direct job opening with a specific employer.

Members of our platform gain access to exclusive roles that sit at the intersection of investing, data, and systems—positions that often support investment teams behind the scenes and may not appear on public job boards. Career Launch AI provides tools and support to help candidates reach hiring managers, prepare for interviews, and pursue high-caliber finance opportunities.

More information is available at careerlaunch.ai.


About the Opportunity

Firms within the Career Launch AI network—including private equity, growth equity, venture capital, and alternative asset managers—may seek an analytically strong Investment Infrastructure Analyst to support the systems, data, and processes that power investment decision-making.

Individuals in roles like this help maintain and improve the infrastructure used for deal tracking, portfolio monitoring, performance reporting, and investment committee workflows. The role provides broad exposure to how investment teams operate end-to-end, with a focus on scalability, accuracy, and efficiency.

The work environment is typically lean and collaborative, offering meaningful insight into both investment processes and operational execution.


Day-to-Day ResponsibilitiesInvestment Systems & Data Infrastructure
  • Support and maintain investment tracking systems, databases, and dashboards

  • Ensure accuracy and consistency of deal, portfolio, and performance data

  • Help improve data workflows across sourcing, diligence, portfolio monitoring, and exits

Reporting & Analytics Enablement
  • Assist with recurring investment and portfolio reporting for internal teams and stakeholders

  • Support KPI dashboards, performance summaries, and data visualizations

  • Translate raw investment data into clear, structured outputs

Process & Workflow Support
  • Help document, standardize, and optimize investment-related processes

  • Support investment committee workflows, including materials preparation and data validation

  • Assist in improving tools used for diligence tracking and decision documentation

Portfolio & Deal Support
  • Maintain portfolio company data, operating metrics, and financial inputs

  • Support analysis related to follow-on investments, capital events, and exits

  • Coordinate with investment and finance teams to ensure data integrity

Cross-Functional Collaboration
  • Work closely with investment professionals, finance, operations, and external service providers

  • Support implementation or enhancement of investment technology tools

  • Serve as a bridge between analytical needs and operational execution


What Makes This Work Engaging
  • Exposure to the full lifecycle of investment activity without being siloed

  • Hands-on experience with the systems and processes that drive investment firms

  • Opportunity to improve how data and tools support better investment decisions

  • Accelerated learning across investing, analytics, and operational strategy


Ideal Candidate Profile

This profile reflects competencies commonly sought for investment infrastructure and analytics roles.

Education & Technical Skills
  • Bachelor’s degree in Finance, Economics, Accounting, Engineering, Information Systems, Mathematics, or related field

  • Strong Excel skills; comfort working with structured datasets

  • Familiarity with financial concepts, reporting, and performance metrics

  • Interest in investment systems, data workflows, or analytics tools

Experience (Formal or Informal)
  • Prior internships or experience in investment banking, private equity, consulting, fund operations, or financial analytics is beneficial

  • Exposure to dashboards, reporting tools, or process improvement initiatives is a plus

Soft Skills & Mindset
  • Highly detail-oriented with strong organizational skills

  • Process-driven mindset with an interest in improving efficiency and accuracy

  • Clear written and verbal communication skills

  • Ability to operate in fast-paced, evolving environments

  • Coachability, curiosity, and a willingness to learn new tools and systems


How Career Launch AI Helps Candidates Access Roles Like This

Career Launch AI is a career acceleration platform supporting candidates pursuing competitive finance and investment-related roles.

AI-Powered Job Search Automation
  • Automated applications to a large volume of relevant roles with tailored resumes

  • Targeted search across private equity, venture capital, investment operations, and analytics

Recruiter & Hiring Manager Outreach
  • Human-led outreach to relevant recruiters and decision-makers

  • Support in initiating warm conversations beyond traditional job portals

Execution & Tracking Support
  • Streamlined systems to manage applications and outreach

  • End-to-end administrative support throughout the job search

Interview & Case Preparation
  • Assistance with investment analytics, systems-focused cases, and technical interviews

  • Support with behavioral and role-specific interview readiness

Continued Support
  • Ongoing guidance throughout the hiring process


Learn More or Apply

To access roles of this kind through the Career Launch AI platform, visit:
careerlaunch.ai

Career Launch AI offers access to a curated job board, personalized outreach support, automated application tools, interview preparation, and continued assistance until placement.

Career Launch AI — Powered by Initio Capital
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