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Online Data Analyst Jobs in Indiana (NOW HIRING)

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 ...

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 ...

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 ...

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports ...

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

The Data Analyst - Manufacturing is responsible for analyzing production and operational data to support efficient, cost-effective, and high-quality manufacturing processes. This role combines data ...

The Data Analyst - Manufacturing is responsible for analyzing production and operational data to support efficient, cost-effective, and high-quality manufacturing processes. This role combines data ...

The Data Analyst - Manufacturing is responsible for analyzing production and operational data to support efficient, cost-effective, and high-quality manufacturing processes. This role combines data ...

Data Analyst City: West Lafayette Job Summary College of Science | Purdue University | West Lafayette, Indiana The College of Science is seeking a detail-oriented and collaborative Data Analyst to ...

Analyze, document, and validate program operational needs, reporting requirements, and data governance requirements for evaluating outcomes. * Facilitate stakeholder discussions, working sessions ...

Data analyst Location: WARSAW, IN Full time position with PHARMA industry TRAVEL: Global travel if applicable would be extremely minimal. Some domestic travel may be required but very little. This ...

Analyze, document, and validate program operational needs, reporting requirements, and data governance requirements for evaluating outcomes. * Facilitate stakeholder discussions, working sessions ...

Analyze, document, and validate program operational needs, reporting requirements, and data governance requirements for evaluating outcomes. * Facilitate stakeholder discussions, working sessions ...

Data analyst Location: WARSAW, IN Full time position with PHARMA industry TRAVEL: Global travel if applicable would be extremely minimal. Some domestic travel may be required but very little. This ...

Data Analyst DEPARTMENT: St. Joseph County Department of Health WORK SCHEDULE: 8:00 a.m. - 4:30 p.m. M-F JOB CATEGORY: PAT (Professional, Administrative, Technological) SALARY: Up to $63,945/yr.

DWD - Data Analyst Location: Indianapolis, IN Job Type: Full-Time * Gather, clean, and organise large datasets from various sources. * Validate and verify data accuracy, consistency, and completeness ...

Job Title: Data Analyst (HEDIS) Location: Remote Duration: Contract - 10 months Pay Range: $51/hr - $55/hr (W2) Job ID: 406936 About BCforward BCforward is a leading global IT consulting and ...

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Online Data Analyst information

See Indiana salary details

$32.4K

$78.6K

$129.4K

How much do online data analyst jobs pay per year?

As of Aug 3, 2026, the average yearly pay for online data analyst in Indiana is $78,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an online data analyst?

To thrive as an Online Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, or a related field. Familiarity with tools such as SQL, Excel, Python, and data visualization platforms like Tableau is commonly required, along with certifications in analytics or data science. Attention to detail, problem-solving ability, and effective communication are vital soft skills for translating data insights to stakeholders. These skills ensure accurate data-driven decision-making and effective communication of trends and recommendations to support business goals.

What are some common challenges faced by online data analysts, and how can they be addressed?

Online Data Analysts often encounter challenges such as managing large and complex datasets, ensuring data accuracy, and meeting tight deadlines for reporting. Addressing these requires strong attention to detail, proficiency with analytical tools (like SQL, Python, or Excel), and effective time management skills. Collaborating closely with data engineers and stakeholders also helps clarify requirements and ensures the analysis aligns with business objectives. Regular training and staying updated with the latest data analysis techniques can further help overcome these challenges.

What is an online data analyst?

Online data analysts are professionals who collect, process, and interpret data from digital sources to help organizations make informed decisions. They use various analytical tools and techniques to identify patterns, trends, and insights from large datasets. Their work often involves cleaning and organizing data, creating reports, and presenting findings to stakeholders. Online data analysts play a crucial role in improving business strategies, marketing efforts, and operational efficiency.

Can you work remotely as an online data analyst?

Online data analysts often have the opportunity to work remotely, as their tasks primarily involve analyzing digital data using tools like Excel, SQL, or data visualization software. Many companies offer remote positions for data analysts, requiring strong communication skills and proficiency with data management tools. However, some roles may require on-site presence or specific certifications depending on the employer.

Can I work online as an online data analyst?

Yes, online data analysts can work remotely, often collaborating with teams through cloud-based tools and data analysis software like Excel, SQL, or Python. Many companies offer remote positions that require strong analytical skills, attention to detail, and the ability to communicate findings effectively.

Are remote online data analyst jobs legit?

Remote online data analyst jobs are legitimate positions that involve analyzing data using tools like Excel, SQL, or data visualization software. However, job seekers should verify the employer's credibility and be cautious of scams that request upfront payments or personal information. Conducting research and reviewing company reviews can help ensure the job's legitimacy.

What is the difference between Online Data Analyst vs Data Scientist?

AspectOnline Data AnalystData Scientist
Required CredentialsBachelor's degree in data analysis, statistics, or related field; proficiency in Excel, SQL, and data visualization toolsBachelor's or master's degree in computer science, statistics, or related; knowledge of programming languages like Python or R
Work EnvironmentRemote or office-based; primarily focused on data reporting and analysisOften in research or tech companies; involved in complex data modeling and predictive analytics
Employer & Industry UsageBusiness, marketing, e-commerce, and retail sectorsTechnology, finance, healthcare, and research sectors

Online Data Analysts focus on interpreting data, creating reports, and supporting decision-making with existing data sets. Data Scientists build models, develop algorithms, and perform advanced analytics. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise and handle more complex data projects.

Can I become an online data analyst?

Online data analysts analyze data to help organizations make informed decisions and often work remotely. They typically need skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree or certification. Entry-level positions may require some experience or training in data management and visualization.
What are the most commonly searched types of Data Analyst jobs in Indiana? The most popular types of Data Analyst jobs in Indiana are:
What job categories do people searching Online Data Analyst jobs in Indiana look for? The top searched job categories for Online Data Analyst jobs in Indiana are:
What cities in Indiana are hiring for Online Data Analyst jobs? Cities in Indiana with the most Online Data Analyst job openings:
Infographic showing various Online Data Analyst job openings in Indiana as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $78,637 per year, or $37.8 per hour.

Data Analyst

SAIC

Bedford, IN • Remote

Full-time

Posted 6 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

75th of 221 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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