Transform Your Career
We deliver unparalleled opportunities for growth and career advancement. Our dynamic, entrepreneurial culture supports your journey every step of the way.
Embrace new challenges and deliver real value to some of the world’s most influential Fortune 100 brands, growth companies transforming their industries, and mid-market firms that need help navigating the defining moments of their lifecycle. Work side by side with business leaders to solve complex client challenges and make a true impact. Love what you do as part of a diverse organization committed to collaboration and continuous learning.
The Team – Data & Analytics
Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients maximize the value of their data by designing modern data platforms, building scalable pipelines, and delivering analytics and reporting solutions that enable better decision-making. Our consultants are hands-on problem solvers who partner closely with clients in fast-paced, project-based environments.
Your Impact
As a Senior Consultant, Data & Analytics, you will:
- Design and build modern data warehouses and analytics-ready data models
- Develop scalable, reliable data pipelines using cloud-based data platforms
- Implement analytics, reporting, and visualization solutions that translate complex data into clear, actionable insights for client stakeholders
- Partner with client teams to understand business objectives, data challenges, and success metrics through interviews and working sessions
- Manage discrete project workstreams, balancing technical execution with client communication and delivery timelines
- Present findings, recommendations, and solution designs to both technical and non-technical audiences
- Leverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code
- Support broader data transformation initiatives, including system implementations, migrations, and modernization efforts
- Actively participate in internal knowledge sharing, mentoring, and career development activities
At a Minimum, You Will Have:
- Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related field
- 2+ years of relevant experience delivering data, analytics, or data engineering solutions in a consulting or project-based environment
- Strong proficiency in SQL and Python for data transformation, analysis, and pipeline development
- Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, or similar technologies
- Experience building dashboards and reports using BI tools such as Power BI, Tableau, Sigma, or equivalent
- Experience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor) to accelerate and improve code quality
- Demonstrated ability to manage workstreams, prioritize tasks, and deliver high-quality, client-facing solutions under tight timelines
- Strong communication skills and comfort engaging with client stakeholders at varying levels of technical depth
- Ability to work independently while collaborating effectively within cross-functional teams
- Flexibility for travel, as needed
Preferably, You Will Have:
- Experience designing data architectures and analytics solutions in cloud-native environments
- Familiarity with modern data engineering and analytics best practices, including version control and collaborative development workflows
- Exposure to Agile or other iterative delivery methodologies
- Experience supporting enterprise data transformation initiatives across finance, operations, or other core business functions
- A demonstrated interest in continuously learning new tools, platforms, and analytics techniques
Determining compensation for this role (and others) at Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law, Highspring believes that the following salary range reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure to be between the range below. The individual may also be eligible for a variety of bonus and financial incentives based on individual and company performance.
Skills Required
- Bachelor's degree in Information Systems, Computer Science, Data Analytics, Engineering, or related field
- 2+ years delivering data, analytics, or data engineering solutions in consulting or project-based environments
- Strong proficiency in SQL and Python for data transformation, analysis, and pipeline development
- Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, or Redshift
- Experience building dashboards and reports using BI tools such as Power BI, Tableau, or Sigma
- Experience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor)
- Demonstrated ability to manage workstreams, prioritize tasks, and deliver client-facing solutions under tight timelines
- Strong communication skills and comfort engaging with client stakeholders at varying technical levels
- Ability to work independently while collaborating within cross-functional teams
- Flexibility for travel as needed
- Experience designing data architectures and analytics solutions in cloud-native environments
- Familiarity with version control and collaborative development workflows
- Exposure to Agile or other iterative delivery methodologies
- Experience supporting enterprise data transformation across finance, operations, or other business functions
- Demonstrated interest in continuous learning of new tools and analytics techniques
MorganFranklin Consulting Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about MorganFranklin Consulting and has not been reviewed or approved by MorganFranklin Consulting.
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Fair & Transparent Compensation — Pay is considered competitive for a mid‑market consultancy, with compensation often characterized as good or comparable relative to expectations. Feedback suggests pay is generally above average within its segment rather than top‑of‑market.
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Healthcare Strength — Health coverage is frequently described as solid, with medical, dental, and vision plans complemented by wellness resources. Feedback suggests healthcare benefits are a relative strength within the overall package.
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Pay Growth & Progression — Compensation shows clear upside with seniority, with wide ranges across levels and materially higher totals at advanced roles. Feedback suggests advancement and strong performance can meaningfully increase total pay.
MorganFranklin Consulting Insights
What We Do
MorganFranklin Consulting is a management advisory firm that works with leading businesses to address complex and transformational finance, technology and business objectives. Areas of expertise include: • Accounting & Risk Advisory • Technology Enablement • Cybersecurity • Transaction Services • Strategic Transformation & Program Execution • Supply Chain Planning MorganFranklin is headquartered in the Washington D.C. area with regional offices in Atlanta, New York, San Francisco, Los Angeles, Raleigh, Nashville and Charlotte. The company supports clients across the globe
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