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Data Extraction Analyst Jobs (NOW HIRING)

POSITION SUMMARY The Data Analyst supports engagement teams across the Firm with data manipulation, extraction, and reporting. This role also drives internal data analysis for firm operations and ...

Data Analyst

Bethesda, MD · On-site

$80K - $95K/yr

POSITION SUMMARY The Data Analyst supports engagement teams across the Firm with data manipulation, extraction, and reporting. This role also drives internal data analysis for firm operations and ...

Senior Product Data Analyst

Manhattan, NY · On-site +1

$94K - $119K/yr

Data Extraction: Applies advanced SQL skills to extract and transform data, ensuring data integrity and accuracy for reporting and analysis purposes * Strategic Analysis: Design, implement, and ...

Manage the extraction of private markets data from accounting documents and performance reports ... Analytical Skills: Knowledge of financial statements and common financial concepts with a strong ...

Work on a team of developers, analysts, and consultants focused on data acquisition and migration ... Extract data from a wide variety of structured, semi-structured, and unstructured formats * Assist ...

Data Analyst

Northfield, NJ · On-site

$60K - $75K/yr

Work on a team of developers, analysts, and consultants focused on data acquisition and migration ... Extract data from a wide variety of structured, semi-structured, and unstructured formats * Assist ...

... extract and manipulate data. • Identify trends and patterns in sales tax overpayments. • Assist in automating processes to improve data extraction and analysis efficiency. • Communicate ...

... data extraction and transformation to streamline data workflows. • Create and maintain ... hoc analysis and deep dives to address specific business questions and challenges as needed. • ...

Client Data Operations Analyst

Seattle, WA · On-site

$36.88 - $43.39/hr

Manage the extraction of private markets data from accounting documents and performance reports ... Analytical Skills: Knowledge of financial statements and common financial concepts with a strong ...

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Data Extraction Analyst information

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$34K

$82.6K

$136K

How much do data extraction analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data extraction 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.

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

AspectData Extraction AnalystData Analyst
Primary FocusExtracting, cleaning, and preparing data from various sourcesAnalyzing data to identify trends and support decision-making
Skills & ToolsSQL, data scraping, ETL tools, data managementExcel, statistical analysis, visualization tools, SQL
Work EnvironmentData warehouses, databases, ETL pipelinesReporting platforms, dashboards, business intelligence tools
Common IndustriesIT, finance, marketing, e-commerceFinance, healthcare, marketing, consulting

While both roles involve working with data, Data Extraction Analysts focus on retrieving and preparing data for analysis, whereas Data Analysts interpret and analyze data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

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

To thrive as a Data Extraction Analyst, strong analytical skills, attention to detail, and proficiency in data management are essential, often supported by a degree in computer science, information systems, or a related field. Familiarity with ETL (Extract, Transform, Load) tools, SQL databases, and data visualization software is typically required, and certifications in data analytics or database management can be advantageous. Excellent problem-solving abilities, communication skills, and adaptability help analysts effectively interpret data requirements and collaborate with stakeholders. These skills ensure accurate data extraction, support informed decision-making, and maintain data integrity in complex organizational environments.

What is a Data Extraction Analyst?

A Data Extraction Analyst is a professional responsible for collecting, processing, and interpreting data from various sources, such as databases, documents, and websites. They use specialized tools and software to extract relevant data, ensuring its accuracy and integrity. Their work supports business decisions, reporting, and analytics by making data accessible and usable for organizations. Data Extraction Analysts often collaborate with IT, data science, and business teams to streamline data workflows and comply with data privacy regulations.

What are the most common challenges Data Extraction Analysts face when working with unstructured data sources?

Data Extraction Analysts often encounter challenges when dealing with unstructured data, such as inconsistent formats, incomplete records, and noisy or irrelevant information. Extracting reliable data from sources like scanned documents, emails, or social media posts requires advanced tools and techniques, including optical character recognition (OCR) and natural language processing (NLP). Overcoming these challenges typically involves close collaboration with data engineers and subject matter experts, as well as continuous refinement of extraction processes to maintain data quality and accuracy.
More about Data Extraction Analyst jobs
What cities are hiring for Data Extraction Analyst jobs? Cities with the most Data Extraction Analyst job openings:
What states have the most Data Extraction Analyst jobs? States with the most job openings for Data Extraction Analyst jobs include:
What job categories do people searching Data Extraction Analyst jobs look for? The top searched job categories for Data Extraction Analyst jobs are:
Infographic showing various Data Extraction Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

$80K - $95K/yr

Other

Posted 4 days ago


Job description

POSITION SUMMARY

The Data Analyst supports engagement teams across the Firm with data manipulation, extraction, and reporting. This role also drives internal data analysis for firm operations and analyzes industry-relevant datasets (Form 5500s, LM-2s, and similar filings) to generate insights that support client service, business development, and firm strategy. The analyst is responsible for turning large or complex datasets into clean, accurate, and user-friendly outputs that non-technical stakeholders can act on.

Salary Range: $80,000 $95,000 (depending on experience)

KEY RESPONSIBILITIES

Engagement Team Support

  • Assist engagement teams across service lines with data extraction and manipulation tasks including cleansing, reformatting, reconciling, and merging client-provided data files (GL detail, payroll registers, membership rosters, contribution files, AP/AR data, tax data, and other client datasets).
  • Build repeatable data workflows to streamline recurring engagement tasks such as sampling, testing, trend analysis, and reconciliations.
  • Create dashboards and reports that give engagement teams and clients quick visibility into key metrics and trends.
  • Run data analytics to identify miscoded transactions, outliers, duplicates, and other anomalies that warrant follow-up.

Internal Data Analysis

  • Analyze firm operational data including realization, utilization, WIP, billing, collections, staffing, and engagement profitability.
  • Support partners and firm leadership with ad hoc analytics for management committee reporting, engagement profitability, and resource planning.
  • Assist with data extraction and reporting from firm systems.

Industry and External Data Analysis

  • Extract, clean, and analyze publicly available data relevant to Calibre's client base, including Form 5500 filings, LM-2 filings, and other regulatory datasets.
  • Identify trends across labor unions, employee benefit plans, nonprofits, and commercial clients to support business development, proposals, and thought leadership.
  • Build benchmarking tools and comparative analyses that partners can use in client meetings and prospect conversations.

Presentation and Delivery

  • Present findings in clear, user-friendly formats including Excel workbooks, Power BI dashboards, and summary memos tailored to the audience.
  • Ensure outputs are accurate, well-documented, and easy for non-technical users to interpret and reuse.
  • Collaborate with IT and firm operations on data governance, source documentation, and version control.

COMPETENCIES

  • Strong analytical and problem-solving skills
  • Excellent oral and written communication skills, with the ability to translate technical findings for non-technical audiences
  • Attention to detail and commitment to accuracy
  • Ability to manage multiple projects and priorities across service lines
  • Discretion in handling confidential client and firm data
  • Collaborative and service-oriented mindset

POSITION TYPE

This is a full-time permanent position.

WORK ENVIRONMENT

Professional office environment with hybrid flexibility. Occasional travel to other Calibre offices or client sites may be required. Standard office equipment including computers, dual monitors, and collaboration tools.

TRAVEL

Minimal. Occasional local or overnight travel as needed.

REQUIRED EDUCATION AND EXPERIENCE

  • Bachelor's degree in Data Analytics, Accounting, Finance, Information Systems, Statistics, or a related field
  • Two or more years of experience in a data analyst or similar role
  • Proficiency in Excel (advanced formulas, Power Query, pivot tables) and SQL
  • Experience with data visualization tools such as Power BI or Tableau

PREFERRED EDUCATION AND EXPERIENCE

  • Experience working in or with a public accounting firm, professional services firm, or regulated industry
  • Familiarity with accounting systems (e.g., QuickBooks, Sage Intacct, NetSuite) or audit and tax workflows
  • Experience working with public regulatory datasets such as Form 5500, LM-2, or Census data
  • Exposure to Python, R, Alteryx, or other data manipulation platforms
  • Familiarity with AI-enabled analytics tools

WORK AUTHORIZATION

Must have valid work authorization for employment in the United States.

OTHER DUTIES

This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.