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Remote Data Jobs in Bloomington, IN (NOW HIRING)

None Potential for Remote Work: ORA_ON_SITE Description We are seeking a highly skilled and experienced Data Analyst Subject Matter Expert (SME) Contractor Support Lead to provide advanced analytical ...

UI/UX SME

Crane, IN · On-site +1

$185K/yr

This position can be fully remote , and any required travel would be reimbursed by the government . The ideal candidate is a highly collaborative UX/UI professional who can work closely with data ...

REMOTE *Annual USD Salary Minimum - Maximum $171,995 - 186,000 Positions require a Master's degree ... or Data Analyst, or related. Alternatively, the employer will accept a Bachelor's degree in ...

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Collect and assess customer data from internal and external sources and compare against historical ... REMOTE *Annual USD Salary Minimum - Maximum $124,488 - 176,400 Positions require a Master's degree ...

New

Collect and assess customer data from internal and external sources and compare against historical ... REMOTE *Annual USD Salary Minimum - Maximum $124,488 - 176,400 Positions require a Master's degree ...

New

Collect and assess customer data from internal and external sources and compare against historical ... REMOTE *Annual USD Salary Minimum - Maximum $124,488 - 176,400 Positions require a Master's degree ...

New

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Remote Data information

See Bloomington, IN salary details

$42.5K

$152.6K

$225.2K

How much do remote data jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote data in Bloomington, IN is $152,642.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $157,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a remote data analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. They are often part-time or flexible, making them accessible to a wide range of job seekers.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Bloomington, IN? The most popular types of Data jobs in Bloomington, IN are:
What job categories do people searching Remote Data jobs in Bloomington, IN look for? The top searched job categories for Remote Data jobs in Bloomington, IN are:
What cities near Bloomington, IN are hiring for Remote Data jobs? Cities near Bloomington, IN with the most Remote Data job openings:
Infographic showing various Remote Data job openings in Bloomington, IN as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 10% Part Time, 3% Temporary, and 3% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $152,642 per year, or $73.4 per hour.

Data Analyst

SAIC

Bedford, IN • Remote

Full-time

Posted 10 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

78th of 223 rated it services


Job description

Job ID: 2614994

Location: Bedford, IN, US

Date Posted: 2026-07-28

Category: Information Technology

Subcategory: Metrics and Data

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: Secret

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description

We are seeking a highly skilled and experienced Data Analyst Subject Matter Expert (SME) Contractor Support Lead to provide advanced analytical expertise in direct support of government programs and initiatives. The Data Analyst SME Contractor Support Lead will serve as the primary contractor technical authority for all data analysis activities, delivering actionable insights, developing analytical frameworks, and advising government stakeholders on data strategy, methodology, and best practices. This role requires deep expertise in data analysis, strong communication skills, and the ability to translate complex data findings into clear, meaningful information for government customers at all levels. The ideal candidate will bring a combination of hands-on analytical proficiency, strategic thinking, and demonstrated experience operating in a government contracting environment to drive informed decision-making in support of government program objectives.

Key Responsibilities:

Government Stakeholder Interface & Reporting

  • Serve as the primary contractor point of contact for all data analysis activities, reporting directly to government stakeholders including program managers, contracting officers, and senior leadership
  • Provide regular status updates, analytical findings, and program reporting to government customers in accordance with contract requirements and government-directed reporting schedules
  • Prepare and deliver formal briefings, technical reports, white papers, and data products to government stakeholders at all levels
  • Respond to government requests for information, data calls, and ad hoc analytical tasking in a timely and accurate manner
  • Maintain transparent and professional communication with government counterparts while operating within appropriate contractor roles and boundaries
  • Support government-led program reviews, technical interchange meetings (TIMs), milestone decision reviews, and data governance forums
  • Assist government stakeholders in understanding analytical findings, data limitations, and recommendations to support informed decision-making

Subject Matter Expertise & Technical Advisory

  • Serve as the recognized contractor technical authority and primary resource for all data analysis-related activities in support of the government program
  • Provide expert guidance to government stakeholders on data analysis methodologies, statistical techniques, and analytical best practices
  • Advise government program leadership and team members on data strategy, data governance, and the appropriate use of analytical tools and techniques
  • Evaluate and recommend analytical approaches, tools, and technologies to improve the quality and efficiency of government data analysis efforts
  • Stay current with emerging trends, technologies, and methodologies in data analytics and apply relevant advancements to government program needs
  • Ensure all analytical recommendations and products align with government standards, policies, and program objectives

Data Collection & Management

  • Identify, acquire, and integrate data from multiple government and contractor sources, including databases, APIs, flat files, and real-time data streams
  • Assess data quality, completeness, and reliability, and implement data cleaning and validation processes to ensure analytical accuracy in support of government requirements
  • Develop and maintain data dictionaries, metadata documentation, and data lineage records in accordance with government data management standards
  • Establish and enforce data management standards and best practices across the contractor team consistent with government direction
  • Collaborate with government data stewards, data engineers, and IT personnel to ensure data pipelines and storage solutions meet government analytical requirements
  • Ensure all data handling, storage, and transfer activities comply with applicable government security and data privacy requirements

Data Analysis & Interpretation

  • Design and execute complex quantitative and qualitative analyses to address government program objectives and stakeholder questions
  • Apply advanced statistical methods, predictive modeling, and machine learning techniques as appropriate to derive meaningful insights in support of government decision-making
  • Conduct trend analysis, pattern recognition, anomaly detection, and root cause analysis across large and complex government datasets
  • Develop and validate analytical models, algorithms, and frameworks to support government program decision-making
  • Interpret and contextualize analytical findings within the broader government program or operational environment
  • Clearly communicate analytical assumptions, limitations, and uncertainties to government stakeholders to ensure appropriate use of findings

Data Visualization & Reporting

  • Design and develop clear, compelling, and intuitive data visualizations, dashboards, and reports tailored to government stakeholder needs and preferences
  • Translate complex analytical results into concise, actionable insights for both technical and non-technical government audiences
  • Develop standardized reporting templates and visualization frameworks for recurring government analytical products and contract deliverables
  • Prepare and submit all required contract data requirements list (CDRL) deliverables related to data analysis on time and in accordance with government-approved formats
  • Utilize industry-leading visualization tools such as Tableau, Power BI, or equivalent platforms approved for use within the government environment

Process Improvement & Innovation

  • Identify opportunities to improve data collection, processing, and analysis workflows to increase efficiency and analytical quality in support of government program objectives
  • Develop and implement repeatable, scalable analytical processes and standard operating procedures (SOPs) consistent with government requirements and approval
  • Introduce and champion innovative analytical approaches, automation, and tools to enhance government program capabilities, subject to government review and approval
  • Conduct lessons learned reviews and incorporate government feedback to continuously improve analytical products and processes
  • Propose process improvements and new analytical capabilities to government stakeholders with supporting justification and implementation plans
     

Qualifications

Minimum Requirements and Education:

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field (Master's degree preferred)
  • Minimum of 7–10 years of experience in data analysis, data science, or a related analytical discipline, with at least 3–5 years in a contractor support role interfacing directly with government customers
  • Demonstrated subject matter expertise in advanced statistical analysis, data modeling, and quantitative methods
  • Proficiency in data analysis programming languages such as Python, R, SQL, or equivalent
  • Experience with data visualization tools such as Tableau, Power BI, matplotlib, or equivalent
  • Strong experience with relational and non-relational database management systems
  • Proven ability to manage and analyze large, complex, and multi-source datasets in a government program environment
  • Thorough understanding of government contracting processes, roles, responsibilities, and reporting requirements
  • Excellent written and verbal communication skills, including the ability to present complex findings to government senior leadership and non-technical audiences
  • Strong critical thinking, problem-solving, and attention to detail
  • Ability to obtain and maintain a secret level security clearance


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