Analyst, Data & Insights

OMNIA PartnersFranklin, TN
Onsite

About The Position

OMNIA Partners is seeking a polished and detail-oriented Analyst, Data & Insights to support reporting and spend analysis for one of our largest and most visible customer relationships. This role is ideal for a mid-career analyst who combines solid technical reporting skills with strong communication and presentation ability, and who takes pride in delivering clean, accurate, decision-ready analysis to a sophisticated and demanding audience. In this role, you will be the analytical backbone behind a strategic customer account—turning purchasing and spend data into clear insights, recurring reports, and business review materials that the customer trusts. You will partner closely with internal business and operations leaders and serve as a key contributor to how OMNIA presents value and performance to this customer. If you are an analyst who is equally comfortable writing a SQL query and standing in front of a critical stakeholder to walk them through the numbers, we encourage you to apply.

Requirements

  • Bachelor's degree in Data Science, Statistics, Analytics, Business, Finance, or a related field.
  • 3–6 years of experience in data analysis, reporting, or business intelligence, including experience preparing and presenting analysis to business stakeholders or external customers.
  • Solid working proficiency in SQL and Snowflake is required.
  • Strong skills in Tableau for dashboard and report development.
  • Advanced Excel skills and strong PowerPoint skills are essential.
  • Exceptional communication and presentation skills are essential.
  • The successful candidate is comfortable and credible presenting data to a critical, detail-oriented audience, can explain technical findings to non-technical stakeholders in plain language, and consistently produces clean, professional, well-organized deliverables.
  • Composure and professionalism under questioning are key to success.
  • Exceptional attention to detail, accountability, and a customer-service orientation are critical.
  • The Analyst must be self-directed, dependable, relentlessly curious, responsive to shifting priorities, and motivated to deliver high-quality, trustworthy work that reflects well on OMNIA in front of an important customer.

Nice To Haves

  • An advanced degree is a plus but not required.
  • Experience in a client-facing, account-support, or customer reporting capacity is strongly preferred.
  • Comfort working in Figma is preferred: while this is not a design role, the successful candidate will navigate existing Figma files to make routine design updates and export assets that feed into customer-facing reporting and presentation materials.
  • Familiarity with Salesforce reporting and data structures is helpful or can be developed quickly.
  • Exposure to R or Python is a nice-to-have, not a requirement.

Responsibilities

  • Prepare and deliver clear, professional, executive-ready spend analyses, recurring reports, and business review materials for a strategic customer account.
  • Present findings directly to a detail-oriented customer with poise and credibility, anticipate the questions a critical stakeholder will ask, and respond to ad hoc data requests with accuracy, responsiveness, and a high standard of polish.
  • Analyze purchasing and spend data across suppliers, categories, and time periods to surface contract utilization, savings, trends, and opportunities.
  • Provide context and a clear narrative that helps the customer understand performance and act on it.
  • Build, maintain, and continuously refine dashboards and recurring reporting in Tableau that are accurate, easy to read, and aligned to what the customer actually cares about.
  • Ensure reporting assets are reliable, repeatable, and well-organized over time.
  • Pull and combine data from Snowflake and other internal and external systems into clean, analysis-ready datasets.
  • Write accurate, reliable SQL and reconcile data across sources so that the numbers presented externally hold up to scrutiny.
  • Validate outputs, investigate discrepancies, and ensure the figures shared with the customer are trustworthy.
  • Identify the root cause of data issues and partner with internal teams to resolve them before they reach the customer.
  • Streamline recurring reporting to reduce manual effort and improve turnaround.
  • Manage multiple concurrent requests with disciplined prioritization, clear communication of timelines, and consistent, on-time delivery.
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