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Spss Data Jobs

5 jobs found

1d ago

Data Analyst - Work From Home

Qureos Inc Los Angeles, CA 🇺🇸 Remote

Los Angeles, CA

1d ago

$45 - $55/hr Full time Analyst Analytical Skills Analytics

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Job Description

Qureos Inc invites you to join as a Data Analyst in a remote work setup anchored in Los Angeles, California. This role offers an hourly rate of USD 45 to 55 and the flexibility to collaborate with teams across North America while translating data into actionable insights that optimize logistics and supply chain operations.

Benefits

Competitive pay
Annual bonus tied to performance
Comprehensive medical, dental, and vision coverage
401(k) with company match
Paid vacation, sick leave, and company holidays
Company-paid life insurance
Employee Assistance Program (EAP)
Professional development and training opportunities
Career advancement opportunities
Remote work flexibility
Company-provided laptop and equipment

Responsibilities

Interpret data and apply statistical methods to generate ongoing business reports
Design and maintain databases and data collection processes; develop analytics strategies to improve statistical efficiency and data quality
Source data from primary and secondary sources and uphold the integrity of data systems
Identify trends and patterns in complex datasets related to transportation, supply chain, and contract logistics
Clean and curate data by reviewing reports and performance indicators to locate and fix problems
Collaborate with management and operational teams to understand priorities and translate them into data requirements
Build informative data visualizations, dashboards, and reports to communicate insights to stakeholders
Identify opportunities to streamline processes and reduce costs based on data-driven insights

Requirements

Proven experience as a Data Analyst or Business Data Analyst
Strong knowledge of reporting tools, databases (SQL), and programming is desirable
Technical expertise in data models, database design, data mining, and segmentation techniques
Proficiency in statistics and experience with statistical packages (e.g., Excel, SPSS, SAS)
Excellent analytical skills with the ability to collect, organize, analyze, and disseminate substantial amounts of information with high attention to detail
Adept at writing queries, preparing reports, and presenting findings clearly
Bachelor's degree in Mathematics, Economics, Computer Science, Information Management, or Statistics preferred
Previous experience in logistics or transportation is advantageous

Technologies

SQL
Excel
SPSS
SAS

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14d ago

Data Engineer

Office of Statewide Pretrial Services Springfield, IL

Springfield, IL

14d ago

$92k - $116k/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

The Data Engineer position with the Office of Statewide Pretrial Services is based onsite in Springfield, Illinois. The role focuses on analyzing pretrial data, producing reports and dashboards, and supporting data integrations and research to improve OSPS programs across Illinois. The position reports to the Deputy Chief Information Officer. The annual salary range is USD 91,848 to 116,184.

Responsibilities

Develops code in SQL, R, and Python to access data, generate reports, evaluate operations, and identify trends.
Conducts statistical analysis of pretrial data and builds dashboards for senior executive management and community stakeholders.
Ensures data integrity in pretrial reports produced by OSPS.
Evaluates data on pretrial operations to identify trends and insights.
Leads integrations with third party vendors on data integrations and reporting platforms.
Implements special research projects related to pretrial functions and operations.
Develops best practices for data collection, integration, review, and quality assurance.
Fosters productive working relationships with third-party software vendors, county pretrial departments, other government agencies, and community agencies regarding pretrial activities.
Maintains up-to-date knowledge of pretrial services and related criminal justice and community corrections issues.
Performs other duties as assigned.

Requirements

Bachelor’s Degree from an accredited institution.
At least three years of proficient experience with MSSQL, R, and Python.
At least three years of experience working with qualitative and quantitative methods.
Ability to be LEADS (Law Enforcement Agencies Data System) certified.
Proficient in Microsoft Office products (Word, Excel, Access, PowerPoint, Outlook).
A valid Illinois Driver’s License and proof of automobile insurance to operate a personal vehicle on state business, with a safe driving record.

Technologies

SQL (MSSQL)
R
Python
Microsoft Office
LEADS
Power BI
Tableau
SAS
SPSS
ArcGIS
GIS

Benefits

401(k)
Dental insurance
Employee assistance program
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Parental leave
Retirement plan
Vision insurance

Other Knowledge/Skills/Abilities

Strong analytical abilities, problem solving skills, and project management skills.
Effective oral and written communication, presentation, facilitation, and interpersonal skills, with the ability to communicate complex data in an actionable way.
Exceptional technical writing skills.
Understanding of data security and compliance requirements.
Ability to contextualize and present data in graphics for senior and executive management and community stakeholders.
Ability to plan, organize, implement, and maintain multiple functions and projects simultaneously to meet deadlines.
Ability to positively and professionally interact with co-workers.

Physical Requirements

Ability to sit for extended time periods.
Professional office environment requiring telephone usage and ability to process written documents.
Ability to travel, including overnight stays, as required.

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26d ago

Sr. Data Analyst, Data Science Analytics

Home Depot / THD Atlanta, GA

Atlanta, GA

26d ago

Full time Senior Analyst Analytical Skills

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Job Description

Based in Atlanta, GA on site, this Sr. Data Analyst role sits within Home Depot's supply chain analytics efforts. You will synthesize complex analytical tasks into data driven stories, apply analytics across diverse datasets, and deliver timely reporting while continually developing technical skills under limited supervision. This onsite position offers opportunities to grow your technical capabilities and contribute to meaningful supply chain insights.

Responsibilities

30% Leverages data analytics tools to create new dashboards, reports, and any additional ad hoc requests
20% Executes existing reporting and analytical responsibilities
20% Ensures the quality of work output by displaying a keen attention to detail
20% Presents findings in easily understood ways, focusing on how the data analytics fits into the bigger picture
10% Develops additional technical competencies and subject matter expertise within the core functional group

Requirements

Must be eighteen years of age or older
Must be legally permitted to work in the United States
Minimum Years of Work Experience: 2

Technologies

SQL
MS Access
VBA
Python
R
SAS
.NET
C++
Java
Excel
JMP
Mathematica
SPSS
Tableau
SQL Server
Teradata
Oracle

Reporting structure

This position reports to Manager or Sr Manager
This position has no Direct Reports

Travel Requirements

Typically requires overnight travel less than 10% of the time

Physical Requirements

Most of the time is spent sitting in a comfortable position with frequent opportunity to move about; on rare occasions there may be a need to move or lift light articles

Working Conditions

Located in a comfortable indoor area; any unpleasant conditions are infrequent and not objectionable

Minimum Education

Bachelor's degree or equivalent

Preferred Education

No additional education

Minimum Years of Work Experience

Preferred Years of Work Experience

No additional years of experience

Minimum Leadership Experience

None

Preferred Leadership Experience

None

Certifications

None

Competencies

Critical thinking to evaluate strengths and weaknesses of alternative solutions and anticipate implications for future problems
Strong intellectual curiosity to uncover the underlying story within the data
Clear written and verbal communication, with the ability to persuade and inform others based on findings
Excellent interpersonal skills and a collaborative approach to teamwork
Ability to quickly learn and adapt to new technologies, tools, and techniques

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1mo ago

Senior Data Analyst

Charlotte-Mecklenburg Schools Charlotte, NC

Charlotte, NC

1mo ago Closed

$6,395 - $6,395/mo Full time Senior Analyst Analytical Skills

This position is no longer accepting applications (closed Jul 5, 2026).

Job Description

Charlotte-Mecklenburg Schools seeks a Senior Data Analyst to lead the design, development, and deployment of analytics dashboards and reports that inform district decision-makers about initiative effectiveness, drawing on research, evaluation, and strategic planning to support student-outcomes governance. This onsite role is based in Charlotte, North Carolina.

Role Summary

The Senior Data Analyst provides data-driven governance support by delivering dashboards, reports, and analytic insights to inform district leadership. The role operates under general supervision and collaborates across departments to support initiatives that advance student outcomes through evidence-based decision making.

Responsibilities

Adhere to applicable state, federal, and local laws, policies, and procedures.
Develop and implement advanced data analytics models to identify key insights and actionable policy recommendations for district leadership.
Design, build, and maintain dashboards and reports on metrics aligned with the district's strategic goals and priorities.
Develop, build, and maintain data dashboards in Power BI.
Extract, clean, and compile data using data analysis tools such as SQL and Excel.
Produce ad hoc data analysis reports as needed.
Collaborate with CMS senior staff and educators to identify data analysis and visualization priorities.
Query, collect, review, and analyze data for district leadership and staff.
Work with colleagues to support data quality control and governance to ensure data accuracy, completeness, and adherence to established processes and protocols.
Analyze and report on data from external entities including the North Carolina Department of Public Instruction, the College Board, and ACT.
Participate in cross-functional teams as needed.
Support the selection and monitoring of school and district performance measures to foster continuous improvement.
Assist the research and evaluation team in developing systems and processes for collecting, organizing, and managing student- and school-level data for research and program evaluation.
Apply descriptive and inferential statistics to summarize and analyze data.
Consult on and provide feedback on the analytic work of other departments.
Support the reporting of district-wide surveys.
Remain current in the field of data visualization and analytics.
Perform related work as assigned or required.

Requirements

Comprehensive knowledge of public school system policies and data use, including related principles and procedures.
Strong understanding of data analytics and visualization best practices.
Knowledge of data governance policies and procedures.
Familiarity with quantitative research methods and statistical methodologies such as descriptive and inferential statistics.
Proficiency in data visualization tools including Power BI and Tableau.
Proficient in compiling, manipulating, and analyzing data using SQL.
Experience with statistical and graphical software such as SAS, Stata, SPSS, and Excel.
Ability to integrate and prepare large, varied datasets from internal and external sources for analysis and visualization.
Strong logical thinking, problem-solving skills, and ability to develop innovative solutions.
Ability to analyze and interpret data and turn it into actionable insights for decision-making.
Ability to work interdepartmentally to determine priorities, define metrics, and share data through dashboards and reports.
Strong organizational skills to manage multiple projects independently and meet deadlines in a fast-paced environment.
Ability to document and maintain complete, accurate records.
Self-starting attitude with initiative and persistence; able to work with minimal direction.
Collaborative approach to work with people from diverse backgrounds and perspectives.
Willingness to reflect on and improve performance and professional practice.

Technologies

PowerBI
Tableau
SQL
Excel
SAS
Stata
SPSS

Special Requirements

Possess and maintain a valid driver’s license or have the ability to provide own transportation.
Travel to school district buildings and professional meetings as required.

Location

Charlotte, NC onsite

Compensation

Salary: USD 6,395 per month

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2mo ago

Title III Research & Data Analyst

Kansas City Kansas Community College Kansas City, KS

Kansas City, KS

2mo ago Closed

$56k - $77k/yr Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Jun 11, 2026).

Job Description

At Kansas City Kansas Community College, the Title III Research & Data Analyst plays a pivotal role in strengthening Institutional Effectiveness and Enrollment Management by turning data into actionable insights. This onsite position collaborates with Title III leadership to deliver precise reporting, CFR-aligned performance data, and strategic analyses that inform planning across academic and administrative initiatives.

Key Details

Location: Kansas City, KS (onsite)
Salary: USD 55,778 - 76,693 per year
Education: Bachelor's degree
Experience: Minimum 3 years

Responsibilities

Collaborate with the Title III Project Director to maintain accurate, timely data submissions in line with federal Title III requirements.
Support Title III Annual Performance Reporting and ensure alignment with CFR standards.
Assist in collecting, analyzing, and communicating data related to grant outcomes and institutional priorities.
Extract, analyze, and validate institutional data to inform decision-making and reporting processes.
Conduct quantitative analyses focused on institutional effectiveness, student success, and key performance indicators.
Create summary reports and insights to support planning, policy discussions, and strategic initiatives.
Develop and maintain dashboards and reports to back enrollment management, institutional planning, and departmental operations.
Prepare and maintain reports used in academic and administrative program reviews.
Ensure data accuracy, consistency, and usability across reporting tools and outputs.
Manage the course evaluation process.
Design and administer internal surveys for institutional and Title III data collection.
Analyze survey results and provide actionable insights to campus stakeholders.
Respond to ad hoc data requests from faculty, staff, and administrators.
Collaborate on interdepartmental and cross-campus data projects.
Communicate findings clearly to both technical and non-technical audiences.
Perform other duties as assigned by the Executive Director of Institutional Effectiveness or Title III Project Director.

Requirements

Bachelor’s degree in statistics, analytics, mathematics, computer science, behavioral or social sciences, information technology, or a related field.
Three years of experience in data collection, conducting research studies, and analysis.
Demonstrated experience with large datasets or data warehouses.
Proficiency with data tools and systems such as databases, spreadsheets, SPSS, SQL, and business intelligence/reporting tools.

Technologies

SPSS, SQL, Tableau, Power BI
Colleague, Banner, Ellucian Insights
Microsoft Office 365, CRM systems

To Apply

Read the job announcement carefully, noting the initial screening date, minimum qualifications, and required information.
Recognize that information in your application materials will be used to determine qualification.
Submit all documents listed as required.
If a transcript is required, unofficial transcripts may be submitted initially; official transcripts are required upon selection for hire.
Ensure transcripts show the awarded degree if you claim it as your highest education completed.
Foreign degrees are acceptable if translated or shown to be equivalent to a U.S. degree at the appropriate level.
Attach documentation verifying degree completion or coursework electronically with your application.
Provide three professional references with phone numbers and email addresses.
A college selection committee will review applications, with final hiring decisions made by the hiring manager.
Successful background checks are required for recommended hires; pre-employment tests may be used.

Working Conditions

Regularly requires standing, talking, listening, walking, and sitting.
Occasional pushing or lifting of items may be required.

Work Schedule

40 hours per week, Monday through Friday, 8:00 AM – 4:30 PM. A variable schedule may be needed to meet operational needs, and evening or weekend hours may be required.

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Spss Data Jobs

Data Analyst - Work From Home

Data Engineer

Sr. Data Analyst, Data Science Analytics

Senior Data Analyst

Title III Research & Data Analyst

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