Columbus, OH

Data Jobs in Columbus, OH

11 jobs found

Include remote jobs

Today

Digital Commerce Data Analyst

Proteam Solutions Columbus, OH

Columbus, OH

Today

$28 - $31/hr Full time Analytics Data Analysis Data Analytics

Apply Now

Job Description

Proteam Solutions is seeking a Digital Commerce Data Analyst to own, validate, and optimize digital product data and imagery across ecommerce channels. This hybrid role in Columbus, Ohio blends deep data work with cross-functional collaboration, requiring advanced Excel expertise and a strong commitment to data quality and readiness of product information.

Responsibilities

Take ownership of digital product data and imagery across ecommerce platforms, ensuring accuracy, completeness, and consistency.
Serve as the subject matter expert for digital product information, guiding and supporting internal stakeholders.
Audit, validate, and reconcile large datasets to identify inconsistencies and uphold data integrity.
Extract, manipulate, analyze, and organize data using advanced Microsoft Excel techniques to support reporting and business needs.
Collaborate with Merchandising, Digital Commerce, Marketing, IT, and other teams to validate product information and resolve data discrepancies.
Investigate data issues, identify root causes, and implement effective solutions.
Support digital product launches by ensuring all required attributes, imagery, and supporting content are complete and accurate.
Maintain and improve processes that promote operational efficiency, scalability, and data quality.
Learn new systems and tools quickly while adapting to changing business priorities.
Independently manage multiple projects and deadlines with minimal supervision.

Requirements

Bachelor's degree or equivalent professional experience.
2–3 years of experience in data analysis, digital commerce, ecommerce operations, merchandising, product information management, or related field.
Advanced Microsoft Excel expertise required, including Pivot Tables, XLOOKUP/VLOOKUP, INDEX/MATCH, Nested IF statements, Data validation, and Conditional formatting; ability to filter and sort large datasets.
Strong reporting and data analysis skills with exceptional attention to detail.

Technologies

Microsoft Excel
SharePoint
Adobe Experience Manager (AEM)
Product Information Management (PIM)
Digital Asset Management (DAM)

What we're looking for

Someone who enjoys solving problems through data, delivering highly accurate work, and using Excel daily.
Proactive, resourceful, and capable of balancing multiple priorities with strong attention to detail.

Experience

Excel: 2 years (Required)
Data analytics: 2 years (Required)

Preferred Qualifications

Experience supporting ecommerce or digital commerce operations.
Experience with SharePoint, Adobe Experience Manager (AEM), or similar content management platforms.
Experience with PIM, DAM, or retail merchandising systems.

Please note

Advanced Microsoft Excel skills are essential. Candidates must be willing to complete an Excel assessment during the pre-screening process and participate in a live Excel evaluation during the hiring manager interview.

Work location

Hybrid remote in Columbus, OH 43230

Pay

$28.00 - $31.00 per hour

View full job page →

5d ago

Jr. Data Analyst - Digital Commerce

Proteam Solutions Columbus, OH

Columbus, OH

5d ago

Contract Analyst Analytics Data Analysis

Apply Now

Job Description

The Jr. Data Analyst - Digital Commerce supports the accuracy and completeness of product data and imagery across digital channels. Serving as a product data expert, the role collaborates with multiple teams to extract insights and enable effective digital activation for partner needs.

Responsibilities

Manage the complete catalog of digital product data and imagery, ensuring precision and alignment with partner specifications.
Offer guidance, troubleshoot, and communicate clearly with partners and internal stakeholders.
Collaborate with cross-functional teams to validate information and maintain smooth workflows.
Proactively identify, investigate, and resolve issues through testing and problem-solving.
Uphold high data integrity by implementing and refining processes for accuracy and scalability.
Extract, analyze, and organize data from multiple sources using advanced Excel capabilities.

Requirements

2+ years of corporate experience
2+ years of Excel experience required
Proficiency with VLOOKUP
Experience with SUM and SUMIF
Experience with COUNT and COUNTIF
Familiarity with Find and Replace
Experience creating and using Pivot Tables
Knowledge of MATCH
Knowledge of CONCAT
Proficiency with Conditional Formatting
Well organized and detail oriented
Strong time management and prioritization in a dynamic environment
Excellent oral and written communication skills
Able to take initiative and collaborate effectively in a cross-functional team
Experience learning new technical applications
Proficient in Microsoft Office with a strong emphasis on Excel
Experience with SharePoint or Adobe Experience Manager strongly preferred

Technologies

Excel
SharePoint
Adobe Experience Manager
Microsoft Office

Core Competencies

Lead with curiosity and humility
Build high performing teams for today and tomorrow
Influence and inspire with vision and purpose
Observe, engage and connect
Strive to achieve operational excellence
Deliver business results

Additional Information

Top skills required: ability to hit the ground running with minimal training, strong Excel skills, and quick learning ability
Interview process: 1-hour virtual round with initial Excel skill testing, possible second round
Typical day: updating data reports, handling troubleshooting requests, and collaborating with cross-functional teams
Contract duration: 6 months with a likely extension
Work environment: Hybrid (Tue – Thur) 9 am to 5 pm office hours
Company computer provided

View full job page →

8d ago

Consumer Banking Data Scientist Director - American Dream

JPMorganChase Columbus, OH

Columbus, OH

8d ago

$162k - $245k/yr Full time Marketing Analytics Artificial Intelligence

Apply Now

Job Description

Senior analytics leader will direct the analytics program for the American Dream Initiative within JPMorganChase's Consumer Banking Customer Data & Analytics team, onsite in Columbus, Ohio.

Responsibilities

Shape and lead the customer analytics strategy for the American Dream Initiative, aligning measurement, prioritization, and outcomes with core business goals.
Build, mentor, and manage a high-performing analytics team to deliver impactful insights across the customer lifecycle, performance metrics, and program effectiveness.
Create and govern a performance measurement framework with KPIs, executive reporting, experimentation, and impact assessment to drive data-informed decision making and program optimization.
Collaborate with Product, Marketing, Research, and business partners to craft data-driven engagement strategies that improve acquisition, deepening, and retention.
Apply emerging AI, machine learning, and analytics capabilities to develop innovative solutions that enhance customer outcomes and advance program objectives.
Translate complex analyses into clear narratives and recommendations for senior leaders, balancing strategic ambition with operational feasibility, risk discipline, and measurable results.

Requirements

Master’s degree or PhD in a quantitative field and 10+ years of analytics experience.
Proven senior leadership experience building and developing multidisciplinary analytics teams within a large enterprise.
Deep expertise in data science and analytics, including hands-on work with predictive modeling, statistical analysis, segmentation, and experimentation.
Track record of delivering AI, ML, and analytics solutions that drive measurable business outcomes, ideally in financial services or consumer products.
Strong business acumen with the ability to frame analytical problems in business terms and translate insights into executive-level recommendations.
Experience leading analytics across multiple concurrent domains, balancing near-term delivery with long-term capability development.
Exceptional stakeholder management and communication skills, with a history of influencing senior leaders and cross-functional partners.
Proficiency in Python and/or R, and experience with modern data platforms such as Snowflake or Databricks.
Solid project and program management capabilities, including defining success metrics, managing risks, and driving execution across complex initiatives.

Technologies

Python
R
Snowflake
Databricks

Benefits

Base salary determined based on the role, experience, skill set and location
Commission-based pay and/or discretionary incentive compensation, paid in cash and/or forfeitable equity
Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

View full job page →

8d ago

Marketing Data Scientist Senior Associate - Consumer Bank

JPMorganChase Columbus, OH

Columbus, OH

8d ago

Full time Marketing Analyst Analytics

Apply Now

Job Description

The Senior Associate Marketing Data Scientist role sits within JPMorgan Chase's Consumer Bank and is based onsite in Columbus, Ohio. The position centers on measuring marketing effectiveness, building present value models, and turning analytical insights into strategic recommendations that support customer acquisition and campaign optimization.

Responsibilities

Develop, maintain, and review present value calculations and underlying assumptions to evaluate acquisition quality and the performance of marketing investments.
Provide analytical support for deposit marketing programs, including campaign insights, recommendations, and strategic direction.
Contribute to portfolio investment optimization and produce business-facing quality assumptions that guide marketing spend decisions.
Support finance processes by delivering inputs for budgeting and forecasting, including return on investment and cost-benefit evaluations.
Advise on experimental design and data collection, collaborating with stakeholders and other Data & Analytics teams to shape strategies.
Interpret analytical results and present findings to stakeholders and senior management in a clear, concise, and actionable manner.
Engage in innovation efforts to advance analytical methods while maintaining a robust controls environment to ensure timely and accurate results.

Requirements

Education: Bachelor's and Master's degrees in quantitative fields such as Data Science, Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related disciplines.
Experience: 3+ years applying statistical methods to real-world problems.
SQL: 3+ years of data analysis experience using SQL.
R: 3+ years of analytics work with R.
Finance workstreams: Experience supporting budgeting, forecasting, and return on investment or cost-benefit evaluations.
Experimental design: Hands-on experience with A/B testing and incrementality testing, including design, statistical significance evaluation, and translating results into business recommendations.
AI-assisted development tools: Proficiency with AI-enabled tools such as GitHub Copilot, Claude Code, or similar to accelerate analysis and coding.
Data visualization: Experience creating visuals for analysis and presentation.
Communication: Strong written, verbal, and presentation skills with the ability to engage effectively across levels and partner groups.

Technologies

SQL
R
Python
GitHub Copilot
Claude Code
Tableau

Benefits

Health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

View full job page →

20d ago

Customer Data Analyst

Express Columbus, OH

Columbus, OH

20d ago

Full time Analyst Analytics Customer Insights

Apply Now

Job Description

Benefits and culture

Express offers a collaborative, data-driven environment within a multichannel retail platform that powers Express and Bonobos worldwide. This onsite role at the Columbus Corporate Headquarters puts you at the center of cross-functional partnerships with Marketing, Digital Media, E-Commerce, and Technology to transform customer data into actionable insights that drive growth and improve the health of the customer base across new and existing segments. You will contribute to campaigns, product initiatives, and leadership decisions while upholding a commitment to data integrity and continuous improvement.

Location: Columbus Corporate Headquarters, onsite

Responsibilities

Analyze and report on core customer file KPIs, including acquisition, retention, reactivation, frequency, spend, and lifetime value
Perform deep-dive analysis to understand the drivers behind customer trends and performance changes
Monitor customer file health over time, identifying risks and opportunities tied to product, channel, and marketing performance
Evaluate the effectiveness of marketing campaigns and product initiatives as they relate to customer growth and loyalty
Partner with Digital Marketing to support ecommerce and marketing analytics
Assist in identifying opportunities to improve marketing ROI and customer engagement through data-driven insights
Develop and maintain dashboards and reporting tools to track customer and marketing performance
Translate complex datasets into clear, actionable insights for marketing, merchandising, and leadership teams
Support the development of standardized reporting frameworks and recurring performance readouts
Partner with Technology and Platform teams to maintain the customer database, ensuring accuracy, consistency, and growth across online and offline channels
Ensure data integrity through validation, cleansing, and ongoing quality checks
Collaborate cross-functionally to support test-and-learn initiatives and continuous improvement

Requirements

Bachelor’s degree in Analytics, Data Science, or a related field; MBA or advanced degree a plus
3-5+ years of experience in data analysis, customer analytics, or marketing analytics
Strong experience working with customer databases and large datasets
Proficiency in data extraction and analysis
Experience with Google Analytics and CRM or marketing automation platforms
Experience with data visualization and BI tools
Advanced Excel skills; familiarity with statistical analysis techniques
Experience in ecommerce or digital-first businesses; fashion retail preferred
Ability to manage multiple workstreams independently in a fast-paced environment
Strong attention to detail with the ability to communicate insights clearly to non-technical stakeholders

View full job page →

24d ago

Educational Systems Data Analyst

Columbus City Schools Columbus, OH

Columbus, OH

24d ago

$36 - $37/hr Full time Analyst Analytics Data Analysis

Apply Now

Job Description

Entry-level Educational Systems Data Analyst I role at Columbus City Schools analyzes, interprets, and validates data from student information and educational management systems and produces reports to support data-driven decisions.

Responsibilities

Under general supervision, perform entry-level analysis, interpretation, and validation of data from student information systems and educational management systems, with related duties as required.
Extract requested data from multiple databases and consolidate it into required file formats.
Review data accuracy and integrity; identify data error patterns and correct issues by researching sources of information.
Monitor data entries for timely and accurate completion; identify issues with data gathering, entry, and reporting by staff and system users, such as duplicates and overlapping dates.
Learn the specialized methods required by state and federal agencies for submission of educational data.
Assist upper level personnel with identifying process improvements to reduce recurring errors; instruct users in new methods.
Write queries and simple programs to collect and compile data needed for reports for local, state, and federal agencies, staff, and users.
Develop routine and ad hoc reports, tables, and graphs; help staff interpret results; develop custom reports as requested.
Review data submitted to external agencies for compliance with applicable laws and regulations.
May participate in developing standards, policies, and procedures for data retrieval and reporting.

Requirements

Location: Columbus, OH (onsite)
Compensation: USD 36 - 37 per hour
Bachelor's degree with substantial coursework (21 semester hours or 32 quarter hours) in computer science, mathematics, or a closely related field, and one year of experience in data analysis and research.
Substitution: Additional years of the specified experience may substitute for the educational requirement on a year-for-year basis.

Technologies

Excel
SAS
SQL
Microsoft Office

Examples of Work

Extracts requested data from a variety of databases and formats data for required files
Reviews data accuracy and integrity; analyzes error patterns and resolves issues by researching information sources
Monitors data entry for timely, accurate completion; identifies problems with data gathering, entry, and reporting by staff and system users
Learns the specialized methods required by state and federal agencies for educational data submission
Assists senior staff in identifying process improvements to reduce recurring errors; trains users on new methods
Writes queries and simple programs to assemble data for reports as required by local, state, and federal agencies, staff and users
Develops routine and ad hoc reports, tables, and graphs; assists staff in interpreting results and creating custom reports
Reviews data submissions to external agencies for regulatory compliance
May participate in establishing standards and procedures for data retrieval and reporting

Department Specific Duties & Qualifications

Demonstrated experience using databases and related technologies; functional understanding of data warehouse concepts
Write SQL queries and simple programs to assemble data for reports, as required by local, state, and federal agencies, staff and users
Collaborate with internal and external departments to gather user requirements and document the design of deliverables (reports, dashboards, alerts, visualizations) and obtain feedback on effectiveness
Candidates must be willing to work in person and have reliable transportation

Knowledge, Skills, and Abilities

General knowledge of data analysis processes and data quality assurance procedures
General knowledge of relational databases and data retrieval methods
General knowledge of research and problem-solving techniques
General knowledge of documentation and report writing procedures
General knowledge of Microsoft Office software, including Excel
General knowledge of techniques used to write queries and simple programs
Ability to retrieve and manipulate data sets to identify patterns, problems, and errors
Ability to use logic and analysis to solve problems
Ability to organize and summarize information in written format
Ability to communicate effectively, both orally and in writing
Ability to develop and maintain effective working relationships with others

View full job page →

24d ago

Education Systems Data Analyst I (SY26-27)

Columbus City Schools Columbus, OH

Columbus, OH

24d ago

$36 - $36/hr Full time Analyst Data Analysis Data Analytics

Apply Now

Job Description

Columbus City Schools in Columbus, Ohio is seeking an entry‑level Education Systems Data Analyst I (SY26-27) to join its data operations team. This onsite role centers on extracting, validating, and reporting data from student information systems and educational management information systems, ensuring accuracy and compliance with state and federal reporting requirements. The position provides a hands‑on introduction to data analysis within an educational context and supports district reporting needs with reliable data delivery.

Location: Columbus, OH onsite. Compensation is hourly at $36. This entry‑level opportunity requires at least a bachelor’s degree in computer science, mathematics, or a closely related field, plus one year of data analysis experience. Candidates should be prepared to work in person and have their own transportation as needed.

Responsibilities

Under general supervision, perform entry‑level analysis, interpretation, and validation of data from student information and educational management information systems; perform related duties as required.
Extract requested data from various databases and integrate it into required file formats.
Review data accuracy and integrity; identify and analyze error patterns; correct errors by researching sources of information.
Monitor data entries for timely and accurate completion; identify issues with data gathering, entry, and reporting by staff and system users, such as duplicates or overlapping dates.
Learn the specialized methods required by state and federal agencies for educational data submissions.
Assist senior staff in identifying ways to reduce recurring errors and instruct users in new methods.
Write queries and simple programs to collect and compile data needed for reports for local, state, and federal agencies, staff, and users.
Develop routine and ad hoc reports, tables, and graphs; help staff interpret results and develop custom reports as requested.
Review data submitted to external agencies for compliance with applicable laws and regulations.
May participate in developing standards, policies, and procedures for data retrieval and reporting.

Minimum Qualifications

Bachelor's degree with significant coursework (21 semester or 32 quarter hours) in computer science, mathematics, or a closely related field, and one year of experience in data analysis and research.
Substitution: Additional years of the specified experience may substitute for the educational requirement on a year‑for‑year basis.
Official college transcript or degree must be attached for educational credit before submitting the application.
30 semester hours or 45 quarter hours equals 1 academic year.

Preferred Qualifications

Intermediate to advanced experience with Microsoft Excel.
Previous experience working in the education sector.
Familiarity with transitioning SAS queries to SQL.

Department Specific Duties & Qualifications

Demonstrated experience using databases and related technologies; working knowledge of data warehouse concepts and deliverables.
Write SQL queries and simple programs to collect and compile data for reports as required by local, state, and federal agencies, staff, and users.
Collaborate with internal and external departments to document requirements and design deliverables (reports, dashboards, alerts, visualizations) and gather feedback on effectiveness.
Candidates must be willing to work in person and have their own transportation.

Knowledge, Skills, and Abilities

General knowledge of data analysis processes and data quality assurance.
Understanding of relational databases and data retrieval methods.
Familiarity with research and problem‑solving techniques and documentation practices.
Proficiency with Microsoft Office, particularly Excel, and the ability to write queries and simple programs.
Ability to retrieve and manipulate data sets to identify patterns, problems, and errors; use logic and analysis to solve problems; organize and summarize information in writing.
Strong communication skills, both oral and written, and the ability to collaborate effectively with colleagues.

Technology and Tools

SQL, SAS
Microsoft Excel and Microsoft Office

Definition and Work Arrangement

This posting is for a noncompetitive position and will create a new eligible list. The hiring department will perform an initial screening to determine interviewees. This is an on‑site role in Columbus, not remote.