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Overnight Data Analyst Ibm Jobs (NOW HIRING)

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 ...

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

Description Senior Data Analyst Req ID 001-25 v1.0 HazeGrayCyber, LLC is focused on delivering ... IBM Data Engineering Professional Certificate * Google Cloud Certification: Cloud Data Engineer ...

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

Senior Data Analyst Req ID 001-25 v1.0 HazeGrayCyber, LLC is focused on delivering Cyber Security ... IBM Data Engineering Professional Certificate * Google Cloud Certification: Cloud Data Engineer ...

OB SUMMARY That Data Analyst will be responsible for developing database solutions in accordance ... IBM DB2. Microsoft SQL Server is preferred. Additional Information All your information will be ...

Data Analyst Senior

Lexington, KY

$81K - $103K/yr

The analyst will locate novel data sources, apply rigorous statistical methods, and deliver ... Tool & Platform Utilization Leverage IBM Cloud Pak for Data, Oracle/SQL Server, SAP, DeltekCOBRA ...

Mainframe Data Analyst Location: Brooklyn NY (Hybrid: 2/3 days onsite) Long term Mandatory ... Minimum of three (3) years of recent experience developing applications using IBM DataStage ETL . * ...

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Overnight Data Analyst Ibm information

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$34K

$82.6K

$136K

How much do overnight data analyst ibm jobs pay per year?

As of Aug 10, 2026, the average yearly pay for overnight data analyst ibm 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 are the key skills and qualifications needed to thrive as an overnight data analyst at IBM?

To thrive as an Overnight Data Analyst at IBM, you need strong analytical skills, proficiency in data interpretation, and a relevant degree in fields such as computer science, statistics, or mathematics. Familiarity with data analysis tools like SQL, Python, and IBM’s proprietary analytics platforms, as well as experience with reporting systems, is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for managing overnight workflows and collaborating with global teams. These competencies are important to ensure accurate, timely insights that support business decisions during off-hours operations.

What does an overnight data analyst at IBM do?

An Overnight Data Analyst at IBM is responsible for analyzing and processing large sets of data during overnight hours to support business operations and decision-making. Their tasks typically include monitoring data flows, running scheduled reports, identifying anomalies, and providing actionable insights to teams that operate across different time zones. Working overnight ensures that data is prepared and available for teams in the morning, helping IBM maintain its global operations efficiently. They may also collaborate with other analysts and IT staff to troubleshoot issues and ensure data integrity.

What are the unique challenges faced by an overnight data analyst at IBM, and how can I prepare for them?

As an Overnight Data Analyst at IBM, you'll often be responsible for monitoring data pipelines, ensuring data integrity, and generating reports that support business operations by the next business day. Working overnight can present challenges such as limited in-person collaboration and the need for strong self-motivation and problem-solving skills. To prepare, familiarize yourself with IBM's data tools and communication platforms, and develop effective strategies for remote collaboration with daytime teams. Building a strong handover process and being proactive in flagging issues will help you succeed in this role.
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Infographic showing various Overnight Data Analyst Ibm job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

$80K - $95K/yr

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Job description

POSITION SUMMARY

Please Note: Applicants must currently reside within the Washington, DC metropolitan area to be considered for this position. At this time, we are only considering candidates who are authorized to work in the United States without current or future employer sponsorship.

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).
  • Design, build, and maintain reusable datasets by integrating data from APIs, firm systems, databases, and external sources to support analytics, dashboards, and reporting.
  • 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.

EEO: Calibre is an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under federal, state, or local law.