Pay
$122K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 321 postings in the last year. Stated ranges, not salaries paid.
Analytics Engineer - Enterprise Analytics
Harrisburg, PA, US
Open 3 months, first seen by us 98 days ago- Pay
- Pay not listedSimilar roles state $122K–$190K
- Work setting
RemoteLocation limits apply — work setting source
Analytics Engineer – Enterprise Analytics This is a fully remote position. D H is growing! Join 100+ year old Employee-Owned technology distributor, offering end-to-end solutions for today's resellers, retailers, and the clients they serve across the SMB and Consumer markets. We are empowered by our employee Co-Owners who provide the industry’s best service, and we promote a collaborative culture. We offer an Employee Stock Ownership Plan, 401k, Paid Time Off, Medical, Prescription, Dental and Vision benefits as well as Gym Reimbursement, Work from Home Reimbursement, Employee Purchase Program, Tuition Assistance and much more! As a D H Co-Owner you receive numerous discounts on services. We feel strongly about giving back to the community and promoting sustainable, eco-friendly business practices. Summary: We are seeking an Analytics Engineer – Enterprise Analytics for our Data Science Insights Department. This position is responsible for developing, optimizing, and governing reporting and planning solutions within SAP Analytics Cloud (SAC). This role supports enterprise dashboard initiatives, planning models, and governed self-service analytics. The Analytics Engineer partners closely with the Analytics Systems Lead to ensure SAC solutions are scalable, secure, and aligned to enterprise data standards and semantic models. Responsibilities : Designs, builds, and maintains dashboards, stories, and analytic applications within SAP Analytics Cloud. Develops SAC data models that align to certified enterprise datasets and semantic standards. Supports planning and performance management use cases where applicable. Implements role-based access controls and adhere to defined security models. Collaborates with SAP BDC/Datasphere and Data Engineering teams to ensure reliable data connectivity. Optimizes SAC performance, data refresh strategies, and model efficiency. Supports transport, lifecycle management, and controlled content deployment processes. Contributes to documentation, standards, and best practices for SAC development. Assists in troubleshooting production issues and participate in platform support processes. Requirements: Bachelor’s degree in Information Systems, Data Analytics, Finance Systems, or related field required. 3–6 years of experience in analytics engineering, BI development, or enterprise reporting roles required. Hands-on experience developing in SAP Analytics Cloud (Stories, Models, Planning, or Applications) required. Experience integrating SAC with SAP Datasphere or other SAP data sources preferred. Strong understanding of data modeling concepts and semantic layer principles and working knowledge of SQL and relational data concepts required. Experience implementing role-based access and governance within analytics platforms required. Strong collaboration skills across technical and business teams and the ability to translate business requirements into scalable analytic solutions required. Exposure to enterprise planning or financial performance management workflows, familiarity with Tableau or Power BI environments and experience working in modernization or platform transition initiatives preferred. EOE
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingDesign, build, and maintain dashboards, stories, and analytic applications in SAP Analytics Cloud
Develop SAC data models that align to certified enterprise datasets and semantic standards
Implement role-based access controls and follow defined security models
Optimize SAC performance, data refresh strategies, and model efficiency
Support transport, lifecycle management, and controlled content deployment
From the employer’s posting
Designs, builds, and maintains dashboards, stories, and analytic applications within SAP Analytics Cloud.
Develops SAC data models that align to certified enterprise datasets and semantic standards.
Implements role-based access controls and adhere to defined security models.
Optimizes SAC performance, data refresh strategies, and model efficiency.
Supports transport, lifecycle management, and controlled content deployment processes.
Posting record
Report an errorOpen 3 monthsWe first saw this posting 98 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 30, 202698 days ago
- Recorded sightings
- 180
- Last seen by us
- Nov 6, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 98
Up longer than most. Similar jobs usually come down between day 6 and day 48.
From 1,457 similar postings that came down. Coming down is not always a hire.
D&H Distributing is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- Power BI
- SAP
- Tableau
Where the posting names them
Analytics Engineer – Enterprise Analytics This is a fully remote position. D H is growing! Join 100+ year old Employee-Owned technology distributor, offering end-to-end solutions for today's resellers, retailers, and the clients they serve across the SMB and Consumer markets. We are empowered by our employee Co-Owners who provide the industry’s best service, and we promote a collaborative culture. We offer an Employee Stock Ownership Plan, 401k, Paid Time Off, Medical, Prescription, Dental and Vision benefits as well as Gym Reimbursement, Work from Home Reimbursement, Employee Purchase Program, Tuition Assistance and much more! As a D H Co-Owner you receive numerous discounts on services. We feel strongly about giving back to the community and promoting sustainable, eco-friendly business practices. Summary: We are seeking an Analytics Engineer – Enterprise Analytics for our Data Science Insights Department. This position is responsible for developing, optimizing, and governing reporting and planning solutions within SAP Analytics Cloud (SAC). This role supports enterprise dashboard initiatives, planning models, and governed self-service analytics. The Analytics Engineer partners closely with the Analytics Systems Lead to ensure SAC solutions are scalable, secure, and aligned to enterprise data standards and semantic models. Responsibilities : Designs, builds, and maintains dashboards, stories, and analytic applications within SAP Analytics Cloud. Develops SAC data models that align to certified enterprise datasets and semantic standards. Supports planning and performance management use cases where applicable. Implements role-based access controls and adhere to defined security models. Collaborates with SAP BDC/Datasphere and Data Engineering teams to ensure reliable data connectivity. Optimizes SAC performance, data refresh strategies, and model efficiency. Supports transport, lifecycle management, and controlled content deployment processes. Contributes to documentation, standards, and best practices for SAC development. Assists in troubleshooting production issues and participate in platform support processes. Requirements: Bachelor’s degree in Information Systems, Data Analytics, Finance Systems, or related field required. 3–6 years of experience in analytics engineering, BI development, or enterprise reporting roles required. Hands-on experience developing in SAP Analytics Cloud (Stories, Models, Planning, or Applications) required. Experience integrating SAC with SAP Datasphere or other SAP data sources preferred. Strong understanding of data modeling concepts and semantic layer principles and working knowledge of SQL and relational data concepts required. Experience implementing role-based access and governance within analytics platforms required. Strong collaboration skills across technical and business teams and the ability to translate business requirements into scalable analytic solutions required. Exposure to enterprise planning or financial performance management workflows, familiarity with Tableau or Power BI environments and experience working in modernization or platform transition initiatives preferred. EOE
Your next step
Complete your application on dandh.csod.com. The employer’s form will show what is required.
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Demand for Analytics Engineer roles
New Analytics Engineer postings at the employers we follow are down 9% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Analytics Engineer – Enterprise Analytics This is a fully remote position. D H is growing! Join 100+ year old Employee-Owned technology distributor, offering end-to-end solutions for today's resellers, retailers, and the clients they serve across the SMB and Consumer markets. We are empowered by our employee Co-Owners who provide the industry’s best service, and we promote a collaborative culture. We offer an Employee Stock Ownership Plan, 401k, Paid Time Off, Medical, Prescription, Dental and Vision benefits as well as Gym Reimbursement, Work from Home Reimbursement, Employee Purchase Program, Tuition Assistance and much more! As a D H Co-Owner you receive numerous discounts on services. We feel strongly about giving back to the community and promoting sustainable, eco-friendly business practices. Summary: We are seeking an Analytics Engineer – Enterprise Analytics for our Data Science Insights Department. This position is responsible for developing, optimizing, and governing reporting and planning solutions within SAP Analytics Cloud (SAC). This role supports enterprise dashboard initiatives, planning models, and governed self-service analytics. The Analytics Engineer partners closely with the Analytics Systems Lead to ensure SAC solutions are scalable, secure, and aligned to enterprise data standards and semantic models. Responsibilities : Designs, builds, and maintains dashboards, stories, and analytic applications within SAP Analytics Cloud. Develops SAC data models that align to certified enterprise datasets and semantic standards. Supports planning and performance management use cases where applicable. Implements role-based access controls and adhere to defined security models. Collaborates with SAP BDC/Datasphere and Data Engineering teams to ensure reliable data connectivity. Optimizes SAC performance, data refresh strategies, and model efficiency. Supports transport, lifecycle management, and controlled content deployment processes. Contributes to documentation, standards, and best practices for SAC development. Assists in troubleshooting production issues and participate in platform support processes. Requirements: Bachelor’s degree in Information Systems, Data Analytics, Finance Systems, or related field required. 3–6 years of experience in analytics engineering, BI development, or enterprise reporting roles required. Hands-on experience developing in SAP Analytics Cloud (Stories, Models, Planning, or Applications) required. Experience integrating SAC with SAP Datasphere or other SAP data sources preferred. Strong understanding of data modeling concepts and semantic layer principles and working knowledge of SQL and relational data concepts required. Experience implementing role-based access and governance within analytics platforms required. Strong collaboration skills across technical and business teams and the ability to translate business requirements into scalable analytic solutions required. Exposure to enterprise planning or financial performance management workflows, familiarity with Tableau or Power BI environments and experience working in modernization or platform transition initiatives preferred. EOE
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Harrisburg, PA, US
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- Work authorization
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