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Data Recovery Analyst Jobs in Texas (NOW HIRING)

Prescott Group

Asset Management Analyst

Dallas, TX · On-site

Build and maintain financial models, valuation analyses, recovery analyses, and downside case ... Basic programming or data analysis skills (Python, SQL, Power BI, Tableau, or similar tools) are a ...

System One

Be Seen First

Archaeology Field Technician

Dallas, TX · On-site

$20 - $26/hr

Identify, document, and analyze prehistoric and historic artifacts and features * Accurately record ... Minimum 3 months of archaeological field experience , including survey, testing, or data recovery

Phillips 66

Advisor I, Cybersecurity

Houston, TX · On-site

$96K - $117K/yr

... recovery, cloud infrastructure, IT testing, technical documentation, threat assessment, and data collection and analysis Compensation Range This position has a base salary range of $96,300 - $117,700.

Phillips 66

Advisor I, Cybersecurity

Houston, TX · On-site

$96K - $117K/yr

... recovery, cloud infrastructure, IT testing, technical documentation, threat assessment, and data collection and analysis Compensation Range This position has a base salary range of $96,300 - $117,700.

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Data Recovery Analyst information

What does a data recovery analyst do?

A Data Recovery Analyst specializes in retrieving lost, corrupted, or inaccessible data from various types of storage devices such as hard drives, SSDs, USB drives, and servers. They use specialized software and hardware tools to recover data caused by accidental deletion, hardware failure, malware, or other issues. These professionals also analyze the cause of data loss and advise clients on how to prevent future incidents, often working with both individuals and organizations. Their expertise is crucial for minimizing downtime and preventing permanent data loss.

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

To thrive as a Data Recovery Analyst, you need expertise in file systems, storage devices, and data retrieval techniques, often supported by a degree in computer science or information technology. Familiarity with specialized data recovery software, forensic imaging tools, and certifications such as CompTIA Security+ or EnCE is typically required. Attention to detail, problem-solving skills, and strong communication abilities set top analysts apart. These skills are crucial for accurately recovering lost data, maintaining data integrity, and effectively assisting clients facing critical data loss situations.

What are some common challenges a data recovery analyst faces when working with damaged or corrupted storage devices?

Data Recovery Analysts often encounter challenges such as dealing with physically damaged hardware, complex file system corruption, or encrypted data. Each case can require a unique approach and specialized tools to recover as much information as possible without causing further damage. Collaboration with IT teams and clients is essential to understand the context of data loss and to set realistic expectations for recovery outcomes. Staying current with the latest recovery techniques and software is also important, as storage technologies continue to evolve.

What cities in Texas are hiring for Data Recovery Analyst jobs?

Cities in Texas with the most Data Recovery Analyst job openings:

Asset Management Analyst

Dallas, TX • On-site

Prescott Group
See more jobs at Prescott Groupexternal

Other

Posted 10 days ago

Job description

Now Hiring an Asset Management Analyst to support the firm’s investment, asset management, and strategic initiatives. The successful candidate will play an active role in evaluating, monitoring, and managing investments, with a particular focus on distressed, special situations, and value-oriented opportunities. The role provides direct exposure to senior investment professionals and meaningful participation in investment decision-making.

Key Responsibilities
  • Conduct fundamental research and financial analysis on existing and prospective real estate investments.
  • Evaluate distressed, special situations, and value-oriented investment opportunities.
  • Analyze complex capital structures, restructurings, recapitalizations, asset sales, bankruptcies, and other event-driven transactions.
  • Build and maintain financial models, valuation analyses, recovery analyses, and downside case scenarios to support investment decisions.
  • Monitor portfolio performance, liquidity, covenant compliance, business plans, and key investment metrics.
  • Prepare investment memoranda, due diligence materials, portfolio reviews, and presentations for senior management and the Investment Committee.
  • Partner with acquisitions, asset management, accounting, legal, and executive leadership to support investment and portfolio management initiatives.
  • Leverage artificial intelligence and modern analytical tools to enhance investment research, financial analysis, reporting, and operational efficiency.
  • Develop and refine AI-assisted workflows for market research, financial modeling, document review, and knowledge management.
  • Evaluate emerging technologies and recommend practical solutions that improve investment analysis, reporting, and decision-making.
  • Assist in building and maintaining internal databases, dashboards, and analytical tools that support portfolio management and strategic initiatives.
  • Promote best practices for the responsible, accurate, and compliant use of AI and technology across the investment platform.
Qualifications
  • 2–5 years of experience in asset management, restructuring, distressed investing, special situations, private credit, investment banking, turnaround consulting, or a related field.
  • Strong financial statement analysis, valuation, and financial modeling skills.
  • Solid understanding of capital structures, credit analysis, bankruptcy processes, and distressed investment strategies.
  • Demonstrated ability to leverage AI tools and emerging technologies to improve productivity, research quality, financial analysis, and decision-making.
  • Advanced proficiency in Microsoft Excel, PowerPoint, and financial research platforms.
  • Experience evaluating distressed debt, stressed credit, special situations, restructurings, or opportunistic investments is preferred.
  • Familiarity with bankruptcy proceedings, creditor negotiations, and restructuring transactions is preferred.
  • Experience with generative AI platforms, workflow automation tools, data visualization software, or business intelligence applications is preferred.
  • Basic programming or data analysis skills (Python, SQL, Power BI, Tableau, or similar tools) are a plus.
  • CFA designation or progress toward CFA certification is preferred.
  • Exceptional analytical, problem-solving, and critical thinking skills with strong attention to detail.
  • Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment.
  • Excellent written and verbal communication skills, with the ability to present complex analyses clearly and effectively.
  • Demonstrates intellectual curiosity, sound judgment, professionalism, and a collaborative approach to problem-solving.
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