1

Data Analyst Data Scientist Jobs in Springfield, OH

DATA ANALYST

Dayton, OH · On-site

$69K/yr

QUALIFICATIONS Bachelor's Degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Criminal Justice, Business Analytics, Public Administration, or a closely related ...

DATA ANALYST

Dayton, OH · On-site

$60 - $80/hr

QUALIFICATIONS Bachelor's Degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Criminal Justice, Business Analytics, Public Administration, or a closely related ...

Associate Data Analyst Job No: 503834 Work Type: Staff Full Time (1500 hours or greater) Location: Dayton, OH Category: Research Institute Staff Department: Sustainment Bus Support Ser - 250723 Pay ...

We are looking for an FCAS to join the American Modern Predictive Analytics team as a Principal Data Scientist and play a key leadership role in advancing pricing model strategy. American Modern ...

Associate Data Analyst

Dayton, OH · On-site

$60 - $80/hr

Support encompasses data analysis of advanced manufacturing process data to improve efficiency and offer solutions for increased productivity. The candidate will be responsible for gathering and ...

Position Summary We are seeking a detail-oriented Data Analyst Intern to join our team. This role is focused on supporting Support Services. As an intern, you will assist in maintaining and improving ...

Position Summary We are seeking a detail-oriented Data Analyst Intern to join our team. This role is focused on supporting Support Services. As an intern, you will assist in maintaining and improving ...

Position Summary We are seeking a detail-oriented Data Analyst Intern to join our team. This role is focused on supporting Support Services. As an intern, you will assist in maintaining and improving ...

Showing results 41-60

Data Analyst Data Scientist information

See Springfield, OH salary details

$41.4K

$148.6K

$219.3K

How much do data analyst data scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analyst data scientist in Springfield, OH is $148,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,200.00 and $153,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.

What are some common challenges data analyst data scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

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

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What job categories do people searching Data Analyst Data Scientist jobs in Springfield, OH look for?

The top searched job categories for Data Analyst Data Scientist jobs in Springfield, OH are:

What cities near Springfield, OH are hiring for Data Analyst Data Scientist jobs?

Cities near Springfield, OH with the most Data Analyst Data Scientist job openings:

Infographic showing various Data Analyst Data Scientist job openings in Springfield, OH as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $148,639 per year, or $71.5 per hour.

DATA ANALYST

Montgomery County, Ohio

Dayton, OH • On-site

$69K/yr

Full-time

Posted 4 days ago


Job description

POSITION DESCRIPTION
Montgomery County Common Pleas Court
Juvenile Division

CLASSIFICATION TITLE: DATA ANALYST
FLSA STATUS: Exempt
EMPLOYMENT STATUS: Full-Time
CIVIL SERVICE STATUS: Unclassified
REPORTS TO: Information Technology
PAY GRADE: A21
WORK SCHEDULE: 40 Hours a week

DISTINGUISHING JOB CHARACTERISTICS
The Data Analyst serves as the Court's subject matter expert in data analytics, reporting, and performance measurement. This position participates in all phases of data collection to include data entry, data management, data cleaning, data training, SQL queries, Data Visualization tools, reporting, statistical analysis, and program evaluation in support of the Court's grant renewals, public records’ requests, operational, administrative, and strategic objectives.

The Data Analyst designs and develops complex SQL queries, dashboards, reports, and visualizations to transform raw data into meaningful information that supports informed decision-making. This position works extensively with the Juvenile Court's case management system and related databases to ensure accurate, timely, and actionable reporting.

The position collaborates with Court leadership, judges, magistrates, directors, managers, and staff to identify reporting needs, develop key performance indicators (KPIs), improve data quality, establish reporting standards, and communicate findings through clear visualizations and presentations.

The Data Analyst also provides technical assistance and training related to data entry standards, reporting procedures, and system enhancements to improve data integrity throughout the organization.

“In this position, you are an At-Will Employee serving at the pleasure of the Administrative Judge.”

ESSENTIAL DUTIES AND RESPONSIBILITIES
Design, develop, maintain, and optimize complex SQL queries, stored procedures, views, and datasets using Oracle SQL and Microsoft SQL Server.

Develop automated reports, dashboards, and interactive data visualizations using Tableau, Microsoft Power BI, Telerik Reporting, .NET reporting tools, or other business intelligence platforms.

Create self-service reporting solutions that enable departments to independently access meaningful operational and statistical information.

Analyze operational, financial, and program data to identify trends, opportunities, risks, and performance improvement initiatives.

Develop, monitor, and maintain Court Key Performance Indicators (KPIs), outcome measures, workload statistics, and operational metrics.

Design research methodologies and analytical approaches to answer business questions, evaluate Court programs, and fulfill internal and external reporting requirements.

Perform statistical analyses using appropriate descriptive and inferential statistical techniques to support evidence-based decision making.

Transform complex datasets into meaningful narratives through effective data storytelling, written reports, dashboards, and presentations.

Present analytical findings to judges, executive leadership, directors, managers, committees, and external stakeholders in a clear and understandable manner.

Collaborate with Court departments to identify reporting requirements, document business processes, and recommend technology or workflow improvements.

Maintain documentation for reports, dashboards, SQL code, data definitions, business rules, and reporting processes.

Ensure the integrity, consistency, and accuracy of Court data by identifying anomalies, performing quality assurance reviews, and recommending corrective actions.

Train and educate staff on proper data entry standards, reporting procedures, and the importance of accurate data collection to improve overall data quality.

Provide technical assistance related to reporting, database structure, data definitions, and business intelligence solutions.

Support software implementations, system upgrades, database conversions, and application enhancements by performing testing, validation, and impact analysis.
Work extensively within the Juvenile Court's case management system and associated relational databases.

Research and recommend emerging technologies, reporting tools, and analytical methods to improve organizational reporting capabilities.
Perform other duties as assigned.

DATA COLLECTION
Possess strong interpersonal skills to inform and coordinate with individuals, teams and groups, internal and external, in reference to Juvenile Court data analysis and program evaluation. Possess the ability to interpret data and to present information effectively. Compile statistical re-occurring reports and relevant Court programs and data analysis.

OTHER DUTIES AND RESPONSIBILITIES
Other duties assigned by the Administrative Judge, Court Administrator, or IT Leadership.

SCOPE OF SUPERVISION
None

EQUIPMENT OPERATED
Computer; Oracle SQL Developer/Toad or equivalent SQL development tools; Microsoft SQL Server tools; Tableau; Microsoft Power BI; Telerik Reporting; Microsoft Office Suite; database management systems; general office equipment; and emerging, evolving, or replacement software, technologies, and data analytics tools as adopted by the Court.

CONFIDENTIAL DATA
Access to confidential juvenile records, personal identifying information, court records, case information, sealed records, financial information, and other non-public information daily.

USUAL PHYSICAL DEMANDS
Must be able to effectively communicate verbally and in writing with Judges, Court Administration, Magistrates, Directors, managers, staff, outside agencies, vendors, and the public. Regular computer usage and prolonged periods of sitting are required.

QUALIFICATIONS
Bachelor's Degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Criminal Justice, Business Analytics, Public Administration, or a closely related field. Master's Degree preferred.

Three (3) to five (5) years of experience in data analytics, business intelligence, database reporting, statistical analysis, or a related field. Experience within a court, criminal justice, government, or public sector environment is preferred.

Equivalent combinations of education, training, certifications, and experience may be considered.

KNOWLEDGE, SKILLS, AND ABILITIES
Demonstrated proficiency writing complex SQL queries in Oracle SQL and/or Microsoft SQL Server.

Experience developing reports using Tableau, Microsoft Power BI, Telerik Reporting, SQL Server Reporting Services (SSRS), .NET reporting tools, or comparable business intelligence software.

Strong understanding of relational database design, data modeling, data validation, and data integrity principles.

Knowledge of statistical concepts, performance measurement, trend analysis, forecasting, and program evaluation.

Ability to transform complex analytical findings into meaningful reports, dashboards, visualizations, and executive presentations.

Excellent data storytelling, written communication, and presentation skills.
Strong analytical, critical thinking, and problem-solving abilities.

Experience in creating automated reporting processes and self-service reporting solutions.

Experience documenting business requirements, report specifications, and technical processes.

Highly proficient in Microsoft Excel, including advanced formulas, pivot tables, and data analysis functions.

Ability to prioritize multiple projects with minimal supervision.

Ability to maintain confidentiality and exercise sound judgment when handling sensitive information.

Strong interpersonal skills with the ability to collaborate effectively across departments and with technical and non-technical stakeholders.

Possession of a valid Ohio Driver's License with an acceptable driving record and proof of insurance.

Ability to document identity and employment eligibility within three (3) days of appointment in accordance with the Immigration Reform and Control Act.