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Online Data Analyst Jobs in Springfield, MO (NOW HIRING)

Analyst

Springfield, MO · On-site

$112K/yr

For U.S. applicants, please submit your application through our online portal by our deadline ... We prefer students who have completed at least one internship in business, economics, data analysis ...

Audit Manager

Springfield, MO · Remote

$99K - $165K/yr

Experience with QuickBooks Online, UltraTax, and AdvanceFlow. * Exposure to complex audit ... Experience using audit technology or data analytics tools to improve efficiency and quality. Work ...

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Showing results 1-20

Online Data Analyst information

See Springfield, MO salary details

$30.9K

$75.2K

$123.7K

How much do online data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for online data analyst in Springfield, MO is $75,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,200.00 per year, depending on experience, location, and employer.

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.

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 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 work online as an online data analyst?

Yes, online data analyst roles are common and typically involve analyzing data sets, creating reports, and using tools like Excel, SQL, or data visualization software. These jobs often offer flexible schedules and require strong analytical skills and attention to detail.

Can you become an online data analyst?

Yes, you can become an online data analyst by developing skills in data analysis, statistics, and tools like Excel, SQL, or Python. Many roles require a relevant degree or certification, and remote work opportunities are common in this field.

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's policies.

What are the most commonly searched types of Data Analyst jobs in Springfield, MO?

The most popular types of Data Analyst jobs in Springfield, MO are:

What are popular job titles related to Online Data Analyst jobs in Springfield, MO?

For Online Data Analyst jobs in Springfield, MO, the most frequently searched job titles are:

What job categories do people searching Online Data Analyst jobs in Springfield, MO look for?

The top searched job categories for Online Data Analyst jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Online Data Analyst jobs?

Cities near Springfield, MO with the most Online Data Analyst job openings:

Infographic showing various Online Data Analyst job openings in Springfield, MO as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $75,172 per year, or $36.1 per hour.

Enterprise Data Analyst

Husch Blackwell Llp

Springfield, MO • On-site, Remote

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 26 days ago


Husch Blackwell rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

3rd of 34 rated law firms


Job description

Husch Blackwell LLP is a full-service litigation and business law firm with multiple locations across the United States, serving clients with domestic and international operations.

At Husch Blackwell we believe that diverse, equitable and inclusive teams lead to better outcomes. Husch Blackwell is committed to retaining, recruiting, developing, and promoting talented lawyers and business professionals with diverse backgrounds and experiences. We foster an engaged, diverse, and inclusive team culture of accountability and purpose that makes our Firm and our communities better.

Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation. If you are a motivated professional looking for a long-term fit where you can grow in a role, and will be valued and empowered, then we invite you to apply to our Enterprise Data Analyst position. This position may be filled remotely or in a hybrid capacity in any of our Central and Eastern Time locations. Strong candidates located in Mountain Time will also be considered.

The Enterprise Data Analyst is a firmwide shared-services role within the Firm’s Data Science function. The analyst turns the Firm’s data, client data, and the extensive internal data the Firm maintains into clear, actionable insight, delivered primarily through Power BI dashboards and reports that teams across the Firm rely on. The role will initially support a key business unit, with scope expanding to serve additional practice groups and functions across the Firm over time. The right candidate will be skilled in the visual display of quantitative information and have a passion for high impact data storytelling. Essential functions include:

Data Analysis & Insight

  • Analyze large, complex datasets from client and internal Firm sources to identify trends, patterns, and actionable insights
  • Clean, transform, and structure data to ensure accuracy, consistency, and readiness for analysis
  • Apply statistical and data-modeling techniques to answer business questions and support decision-making
  • Leverage AI and generative-AI tools to accelerate analysis, automate routine tasks, and enhance data products
  • Translate stakeholder questions into clearly defined analytical problems, prioritizing work by impact and urgency

Dashboarding & Reporting

  • Design, build, and maintain Power BI dashboards that serve as the Firm’s primary, everyday reporting tools
  • Build automated, self-service reports and visualizations in Power BI and Tableau, tailored to different audiences across the Firm
  • Use data storytelling to deliver client-facing data presentations and executive-level reports that communicate findings clearly to key partners, clients, and other internal and external stakeholders, and drive action
  • Collaborate with the Data Science Information Design and Engineering function to deliver data visualization and information rich analyses across various media types
  • Streamline and standardize reporting processes to ensure timely, accurate delivery of key metrics

Data Management & Quality

  • Partner with the Data Engineering team to source, integrate, and validate data from across the Firm
  • Develop and apply data quality standards to ensure reliable, trustworthy outputs
  • Document data sources, definitions, and methodologies to support consistency and reuse
  • Maintain and enhance existing datasets, models, and reporting pipelines

Cross-Functional Collaboration

  • Partner with teams across the Firm; including Finance and client-facing groups to gather requirements and align on objectives
  • Work directly with internal stakeholders and, where appropriate, clients to understand needs and deliver solutions
  • Connect analytical findings to business outcomes and Firm priorities

Continuous Improvement & Growth

  • Share knowledge and best practices to elevate data and analytics capabilities across the Firm
  • Identify opportunities to automate, improve, and scale analytics as the function grows
  • Contribute to building out the Firm’s enterprise data and analytics capabilities over time
  • Develop and improve reporting and business intelligence techniques to align the firm with leading edge information and business intelligence delivery
  • Engage in research and study to continuously improve the Firm’s reporting and business intelligence

POSITION REQUIREMENTS

  • Bachelor’s degree in statistics, economics, computer science, information design, or a related quantitative communications field; commensurate professional and educational experience shall also qualify
  • 3+ years in data analysis, business intelligence, or a related analytical role (the role may be filled at more than one level; strong candidates earlier in their careers will also be considered)
  • Advanced, demonstrable proficiency in Power BI is required; including building, publishing, and maintaining production dashboards
  • Strong proficiency in Excel and SQL, with experience querying and working with large, complex datasets
  • Proficiency with basic statistical and analytical tools including the Python statistical ecosystem
  • Experience working with data warehouses, databases, and modern BI/data platforms
  • Strong data storytelling skills, with a proven ability to design clear, effective data visualizations and deliver client-facing presentations to partners, clients, and other internal and external stakeholders
  • Experience with statistical modeling, regression analysis, and null hypothesis significance testing
  • Proven ability to independently scope and lead complex data analysis projects
  • Experience analyzing financial and operational performance metrics and the drivers behind them
  • Fluent in translating complex data into clear implications and actionable recommendations for the business
  • Comfortable working with large, complex datasets and developing data quality standards
  • Experience working directly with senior stakeholders and, where appropriate, clients
  • Operates with a client-service mindset; responsive, proactive, and a trusted advisor
  • Comfortable working at both strategic and tactical levels
  • Thrives in fast-paced environments with shifting priorities
  • Strong attention to detail and ability to maintain accuracy under pressure
  • Eager to contribute beyond assigned tasks and play a key role in the growth of a new, firmwide analytics function
  • Understanding of data confidentiality and the sensitivity of legal and client information

Preferred Qualifications

  • Experience supporting multiple business units or functions in a shared-services or enterprise environment
  • Experience with data pipeline or ETL processes and working alongside data engineers
  • Experience applying AI and generative-AI tools to accelerate and enhance analytics
  • Familiarity and comfort with executive level communication and presentations

The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities, or requirements. The Firm will provide reasonable accommodations as necessary to allow an individual with a disability to apply for and/or perform the essential functions of a position. If you need assistance to accommodate a disability, please contact HR.

COMPENSATION AND BENEFITS

Employees are entitled to compensation commensurate with skill and experience. The exact compensation will vary based on skills, experience, location, and other factors permitted by law. The expected compensation ranges for this position in various states and jurisdictions are as follows:

  • State of California: $116,000 - $237,000
  • State of Colorado: $107,000 - $191,000
  • State of Illinois: $105,000 - $204,000
  • State of Maine: $79,000 - $182,000
  • State of Maryland: $113,000 - $171,000
  • State of Massachusetts: $116,000 - $222,000
  • State of Minnesota: $116,000 - $192,000
  • Jersey City, NJ: $126,000 - $229,000
  • State of New York: $108,000 - $234,000
  • State of Vermont: $115,000 - $220,000
  • State of Virginia: $76,000 - $220,000
  • State of Washington: $113,000 - $214,000
  • Washington, D.C.: $150,000 - $220,000

The above salaries do not include a discretionary bonus, however bonus opportunities are non-guaranteed, and are dependent upon individual and firm performance. Full-time employees receive benefits including: medical and dental coverage; life insurance; short-term and long-term disability insurance; pre-tax flexible spending account for certain medical and dependent care expenses; an employee assistance program; Paid Time Off; paid holidays; participation in a retirement plan program after meeting eligibility requirements; and more.

Please include a cover letter and resume when applying.

EOE/Minority/Female/Disabled/Vet. Principal Applicants Only.

#LI-Remote
#LI-KW1


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