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Senior Data Analyst

524326BE10E0F901EF936F501E5144B0 · CMH Operations Terminal - Dublin, OH 43016; 5725 Avery Road, Dublin, OH, 43016, USA · Hybrid · Active · Paycom ATS

Job facts

FieldValue
Company524326BE10E0F901EF936F501E5144B0
TitleSenior Data Analyst
Normalized title-
Department / team-
LocationDublin, OH, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerPaycom ATS
Posted / first seen2026-06-15 / 2026-06-16
Changed / last seen2026-06-16 / 2026-06-20

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Company jobsActive postings from 524326BE10E0F901EF936F501E5144B0.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Paycom ATS.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Dublin.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

Company524326BE10E0F901EF936F501E5144B0
Source2f6eca88-71a4-46b9-aee8-5e1a8e509087
ATS providerPaycom ATS

Description

Description ESSENTIAL DUTIES Reporting & Dashboard Development Design, build, and maintain Power BI dashboards and reports for operations, finance, sales, and executive stakeholders. Develop and manage semantic data models in Power BI using DAX, including measures, calculated columns, and row-level security (RLS). Analyze and tune underperforming reports and queries to improve load times and reliability. Establish and document self-service BI standards and a shared metrics catalog. Data & SQL Write complex T-SQL queries, CTEs, window functions, multi-table joins against Azure SQL and Microsoft Fabric. Collaborate with data engineers to define data requirements, validate pipeline outputs, and ensure data quality upstream of reporting. Identify data anomalies and inconsistencies; work upstream to resolve at the source rather than patching in reports. Stakeholder Collaboration Partner with department leaders across operations, finance, and customer experience to translate business questions into measurable data products. Lead requirements-gathering sessions and translate ambiguous requests into defined scopes with clear deliverables and timelines. Communicate findings clearly to non-technical audiences — written, visual, and verbal. Contribute to special projects, operational improvement initiatives, and data-driven strategy efforts. Team & Process Recommend and implement process improvements within the analytics function. Uphold data governance, security, and confidentiality standards across all reporting environments. Participate in sprint planning and contribute to team workflows using Azure DevOps or equivalent tooling. Qualifications Qualifications Education Bachelor’s degree preferred in a quantitative field (Computer Science, Statistics, Mathematics, Information Systems). Equivalent professional experience (4+ years) accepted in lieu of degree. Transportation or logistics industry background is a strong plus. Experience Required- 4+ years of hands-on experience in a BI, data analytics, or reporting analyst role. Required- Expert-level Power BI — semantic modeling, DAX (measures vs. calculated columns), RLS, gateways, and deployment pipelines. Required- Strong T-SQL — complex queries, CTEs, window functions, query optimization; experience with Azure SQL Database. Required - Proven ability to work with messy, multi-source operational data — not just clean, pre-modeled datasets. Preferred - Experience with Microsoft Fabric, Azure Synapse Analytics, OneLake architecture and Fabric lakehouses or warehouses or comparable cloud data platform. Preferred - Direct experience with McLeod TMS data preferred (orders, loads, lanes, drivers, invoicing). Preferred - Experience in logistics, transportation, supply chain, or a similarly operations-heavy industry. Knowledge, Skills, & Abilities Ability to communicate complex data findings to non-technical stakeholders clearly and confidently. Ability to adapt and work in a fast-paced, operations-heavy environment. Strong problem-solving skills; comfortable working with ambiguous or incomplete requirements. Experience with ADF or analytics engineering practices for building and testing data models preferred. Python or R for exploratory analysis and data prep preferred. Azure DevOps or Git-based version control for BI asset deployment preferred. Power BI Premium / Fabric capacity management, workspace governance, and admin experience preferred.

Full job record

Job ID30319fcb8e53b36b4731ea202f6528c7d392e60e
Org ID91e9e8ed-f2ca-4f9b-b74f-3b40efeb3276
Source ID2f6eca88-71a4-46b9-aee8-5e1a8e509087
Board ID2f6eca88-71a4-46b9-aee8-5e1a8e509087
Providerpaycom
Provider Job Key346919
TitleSenior Data Analyst
Normalized Title
Statusactive
Activeyes
Location TextCMH Operations Terminal - Dublin, OH 43016; 5725 Avery Road, Dublin, OH, 43016, USA
Department
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionOH
CityDublin
Salary RawDescription ESSENTIAL DUTIES Reporting & Dashboard Development Design, build, and maintain Power BI dashboards and reports for operations, finance, sales, and executive stakeholders. Develop and manage semantic data models in Power BI using DAX, including measures, calculated columns, and row-level security (RLS). Analyze and tune underperforming reports and queries to improve load times and reliability. Establish and document self-service BI standards and a shared metrics catalog. Data & SQL Write complex T-SQL queries, CTEs, window functions, multi-table joins against Azure SQL and Microsoft Fabric. Collaborate with data engineers to define data requirements, validate pipeline outputs, and ensure data quality upstream of reporting. Identify data anomalies and inconsistencies; work upstream to resolve at the source rather than patching in reports. Stakeholder Collaboration Partner with department leaders across operations, finance, and customer experience to translate business questions into measurable data products. Lead requirements-gathering sessions and translate ambiguous requests into defined scopes with clear deliverables and timelines. Communicate findings clearly to non-technical audiences — written, visual, and verbal. Contribute to special projects, operational improvement initiatives, and data-driven strategy efforts. Team & Process Recommend and implement process improvements within the analytics function. Uphold data governance, security, and confidentiality standards across all reporting environments. Participate in sprint planning and contribute to team workflows using Azure DevOps or equivalent tooling. Qualifications Qualifications Education Bachelor’s degree preferred in a quantitative field (Computer Science, Statistics, Mathematics, Information Systems). Equivalent professional experience (4+ years) accepted in lieu of degree. Transportation or logistics industry background is a strong plus. Experience Required- 4+ years of hands-on experience in a BI, data analytics, or reporting analyst role. Required- Expert-level Power BI — semantic modeling, DAX (measures vs. calculated columns), RLS, gateways, and deployment pipelines. Required- Strong T-SQL — complex queries, CTEs, window functions, query optimization; experience with Azure SQL Database. Required - Proven ability to work with messy, multi-source operational data — not just clean, pre-modeled datasets. Preferred - Experience with Microsoft Fabric, Azure Synapse Analytics, OneLake architecture and Fabric lakehouses or warehouses or comparable cloud data platform. Preferred - Direct experience with McLeod TMS data preferred (orders, loads, lanes, drivers, invoicing). Preferred - Experience in logistics, transportation, supply chain, or a similarly operations-heavy industry. Knowledge, Skills, & Abilities Ability to communicate complex data findings to non-technical stakeholders clearly and confidently. Ability to adapt and work in a fast-paced, operations-heavy environment. Strong problem-solving skills; comfortable working with ambiguous or incomplete requirements. Experience with ADF or analytics engineering practices for building and testing data models preferred. Python or R for exploratory analysis and data prep preferred. Azure DevOps or Git-based version control for BI asset deployment preferred. Power BI Premium / Fabric capacity management, workspace governance, and admin experience preferred.
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://www.paycomonline.net/v4/ats/web.php/jobs/ViewJobDetails?job=346919&clientkey=524326BE10E0F901EF936F501E5144B0
Apply URLhttps://www.paycomonline.net/v4/ats/web.php/jobs/ViewJobDetails?job=346919&clientkey=524326BE10E0F901EF936F501E5144B0
First Seen At2026-06-16 10:04:49Z
Last Seen At2026-06-20 09:42:08Z
Last Checked At2026-06-20 09:42:08Z
Last Changed At2026-06-16 10:04:49Z
Inactive At
Source Posted At2026-06-15 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=paycom/board=524326BE10E0F901EF936F501E5144B0/date=2026-06-20/2026-06-20T09-42-06-219Z-8b8f24a44e918371595a90152478b9fbbc6687d21241d90091e7545bd8b9ac40.json
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semantic modeling, DAX (measures vs. calculated columns), RLS, gateways, and deployment pipelines.\\r\\n\\tRequired- Strong T-SQL &mdash; complex queries, CTEs, window functions, query optimization; experience with Azure SQL Database.\\r\\n\\tRequired - Proven ability to work with messy, multi-source operational data &mdash; not just clean, pre-modeled datasets.\\r\\n\\tPreferred - Experience with Microsoft Fabric, Azure Synapse Analytics, OneLake architecture and Fabric lakehouses or warehouses or comparable cloud data platform.\\r\\n\\tPreferred - Direct experience with McLeod TMS data preferred (orders, loads, lanes, drivers, invoicing).\\r\\n\\tPreferred - Experience in logistics, transportation, supply chain, or a similarly operations-heavy industry.\\r\\n\\r\\n\\r\\nKnowledge, Skills, &amp; Abilities\\r\\n\\r\\n\\r\\n\\tAbility to communicate complex data findings to non-technical stakeholders clearly and confidently.\\r\\n\\tAbility to adapt and work in a fast-paced, operations-heavy environment.\\r\\n\\tStrong problem-solving skills; comfortable working with ambiguous or incomplete requirements.\\r\\n\\tExperience with ADF or analytics engineering practices for building and testing data models preferred.\\r\\n\\tPython or R for exploratory analysis and data prep preferred.\\r\\n\\tAzure DevOps or Git-based version control for BI asset deployment preferred.\\r\\n\\tPower BI Premium / Fabric capacity management, workspace governance, and admin experience preferred.\\r\\n\\r\\n\",\"validThrough\":\"-0001-11-30\"}",
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    "qualifications": "<p><span style=\"font-size:11pt\"><span style=\"tab-stops:135.0pt\"><span style=\"font-family:Barlow\"><b><u><span style=\"text-transform:uppercase\">Qualifications</span></u></b></span></span></span></p>\r\n\r\n<p><span style=\"font-size:11pt\"><span style=\"font-family:Barlow\"><i><u>Education</u></i></span></span></p>\r\n\r\n<ul>\r\n\t<li style=\"margin-left:8px\"><span style=\"font-size:12pt\"><span style=\"font-family:Barlow\"><span style=\"font-size:11.0pt\">Bachelor&rsquo;s degree preferred in a quantitative field (Computer Science, Statistics, Mathematics, Information Systems).</span></span></span></li>\r\n\t<li style=\"margin-left:8px\"><span style=\"font-size:12pt\"><span style=\"font-family:Barlow\"><span style=\"font-size:11.0pt\">Equivalent professional experience (4+ years) accepted in lieu of degree.</span></span></span></li>\r\n\t<li style=\"margin-left:8px\"><span style=\"font-size:12pt\"><span style=\"font-family:Barlow\"><span style=\"font-size:11.0pt\">Transportation or logistics industry background is a strong plus.</span></span></span></li>\r\n</ul>\r\n\r\n<p><span style=\"font-size:11pt\"><span style=\"font-family:Barlow\"><i><u>Experience</u></i></span></span></p>\r\n\r\n<ul>\r\n\t<li style=\"margin-left:8px\"><span style=\"font-size:12pt\"><span style=\"font-family:Barlow\"><span style=\"font-size:11.0pt\">Required- 4+ years of hands-on experience in a BI, data analytics, or reporting analyst role.</span></span></span></li>\r\n\t<li style=\"margin-left:8px\"><span style=\"font-size:12pt\"><span style=\"font-family:Barlow\"><span style=\"font-size:11.0pt\">Required- Expert-level Power BI &mdash; 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