Mid Level Data Consultant Jobs
Mid level data consultant jobs go to professionals ready to own analytical workstreams end to end, guide junior teammates, and translate complex findings into decisions without heavy oversight. Across on-site, remote, and hybrid settings, hiring runs through Technology & Software, Consulting & Professional Services, and Distribution & Wholesale, with employers like Amazon Web Services, ZS, and Esri competing for consultants at this level now.
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INTRODUCTION
Join Deloitte's SAP practice and build a career at the forefront of business transformation, where innovation, industry insight, and leading technology come together to solve complex challenges. You'll work with dynamic teams and leading organizations to modernize core processes, enable digital transformation, and help clients unlock lasting value through SAP-enabled solutions.
In this SAP AI Transformation role, you'll contribute to Agentic ERP transformations that help clients advance toward the autonomous enterprise. Combining SAP expertise with AI-enabled delivery approaches, cross-functional collaboration, and industry insight, you'll help address complex business challenges and create measurable client impact.
Recruiting for this role ends on 01/15/2027.
Work you'll do
As a Senior Consultant in Deloitte's SAP practice, with a focus on SAP Data and Analytics, you will work side by side with functional and technical client team members to rapidly prototype and deliver high-impact solutions that support Agentic ERP transformations. With Deloitte Ascendâ„¢, you'll leverage AI accelerators and SAP capabilities to help clients modernize business processes and advance toward the autonomous enterprise.
This role requires a highly motivated professional who moves with speed and precision, builds practical solutions, and engages confidently with senior stakeholders and delivery teams to help generate measurable business impact.
- Lead SAP Data & Analytics workstreams, coordinating milestones, dependencies, risks, team responsibilities, and quality across delivery teams.
- Translate complex business questions into data models, semantic layers, reusable data products, and analytics solutions.
- Facilitate client workshops that translate business needs into practical, scalable designs and validate insights with senior stakeholders.
- Design and deliver solutions using SAP Business Data Cloud, SAP Datasphere, SAP Analytics Cloud, SAP BW/4HANA, S/4HANA embedded analytics, and SAP HANA Cloud.
- Build repeatable patterns for data acquisition, integration, transformation, modeling, reporting, and performance management across SAP and non-SAP environments.
- Analyze data to identify meaningful business insights, improve data quality and process performance, and support informed client decisions.
- Coach team members, contribute to proposals and reusable assets, and help advance Deloitte's SAP Data & Analytics capabilities.
Qualifications
Required:
- Bachelor's degree; or an associate degree and 6+ years of SAP, enterprise resource planning (ERP), or consulting experience in lieu of a bachelor's degree.
- 5+ years of experience in SAP consulting, enterprise resource planning (ERP) implementation, or SAP/ERP technology transformation in a consulting or industry environment.
- Experience supporting at least two full-lifecycle SAP implementations from project initiation through go-live and hypercare, including lead responsibility for an SAP Data & Analytics workstream or workstream area on at least one implementation, and experience supporting an SAP S/4HANA implementation.
- 2+ years of hands-on functional or technical experience with SAP Data & Analytics toolsets, including one or more of the following: SAP Business Data Cloud, SAP Datasphere, SAP Analytics Cloud (SAC), or Joule copilot/SAC compass.
- Experience implementing or configuring SAP data and analytics solutions-such as data integration, data or semantic modeling, dashboards, reporting, or planning-using SAP Datasphere, SAP Analytics Cloud, SAP BW/4HANA, or S/4HANA embedded analytics.
- Experience working directly with client stakeholders to gather or validate data and analytics inputs.
- Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Preferred:
- Experience applying AI tools-including generative AI, intelligent automation, machine learning, conversational AI, or AI agents-to enterprise transformation initiatives, such as solution design, implementation, or testing.
- Experience with SAP BW/4HANA, S/4HANA embedded analytics, SAP HANA Cloud modeling, SAP Databricks, Business Data Cloud Connect, SAP Smart Data Integration, SAP Landscape Transformation (SLT), or Datasphere replication flows.
- Experience supporting SAP cloud programs or SAP transformations deployed across multiple countries.
- Experience applying SAP Activate, Agile, or Waterfall methodologies on SAP implementation programs.
- Experience contributing to proposals, estimates, solution designs, or client presentations; or coaching and mentoring junior team members.
- One or more SAP certifications, such as SAP Business Data Cloud, SAP Datasphere/BW/4HANA, or SAP Analytics Cloud.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,700 to $218,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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Mid Level Data Consultant Jobs: Frequently Asked Questions
How do I get a mid level data consultant job?
Lead with ownership, not just contribution. Highlight projects where you shaped the analytical approach, interpreted results for stakeholders, or solved problems with limited direction. Tailor your resume to show progression in complexity, not just tenure. Mid level hiring managers look for evidence of independent judgment, so emphasize decisions you drove and outcomes you can quantify, even from a single project.
Which companies hire mid level data consultants?
Companies hiring mid level data consultants right now include Amazon Web Services, ZS, and Esri, based on current listings on Migrate Mate as of November 2026. Both large consulting firms and mid-size technology and finance companies are active at this level, often hiring for project-based engagements where consultants take on client-facing work with meaningful autonomy.
Are there remote mid level data consultant jobs?
Yes, and the share is substantial. About 55% of mid level data consultant openings are remote or hybrid as of November 2026, reflecting how broadly consulting work has shifted toward flexible arrangements. Client-facing roles may require occasional on-site travel, so check each listing for any in-person expectations before applying.
How do I move up to a mid level data consultant role?
The path from entry level to mid level is built on deepening ownership over time. Start by taking full responsibility for discrete deliverables, then seek projects where you define the approach, not just execute it. Build proficiency in a second or third tool, develop a specialty in an industry or method, and demonstrate that stakeholders trust your recommendations without requiring close supervision.
Which industries hire the most mid level data consultants?
Mid Level data consultant roles concentrate in Technology & Software, Consulting & Professional Services, and Distribution & Wholesale, based on current listings on Migrate Mate as of November 2026. These sectors drive demand because they generate large, complex datasets that require experienced consultants who can move between analysis and decision-making without constant guidance from senior staff.