Business Analytics Practice Lead
Pittsburgh, PA - USA
Job Summary
Job Summary
The Business Analytics Practice Lead is responsible to build and lead a consulting practice focused on helping our clients executives leverage analytics to drive measurable business outcomes. This role will define our analytics advisory approach create executive-level insight frameworks and develop reusable analytics content and tools on the Omni and Microsoft BI and Infor Birst platforms.
The ideal candidate combines strong business acumen analytics expertise and consulting leadership experience. The Business Analytics Practice Lead will act as a trusted advisor to senior customer stakeholders while building scalable methodologies while growing a small high-impact team. This role is a business oriented strategic leader and a technical expert.
Key Responsibilities
Practice Development & Strategy
- Design and launch a business analytics consulting practice aligned to customer needs in the mid-market ERP space.
- Define service offerings engagement models and value proposition for executive audiences
- Establish repeatable frameworks methodologies best practices for services delivery.
- Serve as technical lead and mentor for BI developers and analysts
Analytics & Reporting Leadership
- Lead the design development and deployment of analytics solutions using Power BI Birst and Omni
- Partner with business stakeholders to define KPIs metrics and analytics requirements
- Ensure alignment between business definitions semantic models and reporting outputs
- Deliver actionable insights that support executive operational and strategic decision-making
Power BI & Omni Development
- Develop and maintain Power BI dashboards reports and datasets
- Build and manage Omni analytics to ensure consistent metric definitions across tools
- Define business logic centrally in Omni analytics to support governed self-service analytics
- Write and optimize DAX measures and Omni metrics
- Manage Power BI Service workspaces apps permissions and refresh schedules
Data Modeling & Architecture
- Design dimensional and star-schema data models optimized for BI and analytics use cases
- Collaborate with data engineering teams on data pipelines transformations and warehouse design
- Support Omnis semantic layer integration with cloud data warehouses (e.g. Snowflake Big Query Redshift Azure Synapse)
- Ensure performance scalability and reliability of analytics solutions
Governance Security & Best Practices
- Establish analytics governance standards across Power BI and Omni
- Implement and manage row-level security (RLS) and access controls
- Maintain documentation for semantic models KPIs dashboards and data definitions
- Promote best practices for version control deployment and testing
Required Qualifications
- Bachelors degree in Data Analytics Computer Science Information Systems or related field (or equivalent experience)
- 5 years of experience in business intelligence analytics or data roles
- 3 years of hands-on Power BI experience
- Experience building or managing semantic layers (Omni LookML dbt metrics or similar)
- Strong skills in DAX SQL and data modeling
- Experience working with modern cloud data warehouses
- Strong communication skills with the ability to explain data concepts to non-technical audiences
Preferred Qualifications
- Hands-on experience with Omni Analytics
- Experience leading analytics or BI teams in a consulting environment
- Microsoft Power BI certification (PL-300 or equivalent)
- Experience with Snowflake Azure Synapse BigQuery or Redshift
- Familiarity with dbt CI/CD for analytics or modern data stack tooling
- Experience delivering executive and enterprise-level dashboards
Key Competencies
- Strong analytical and problem-solving skills
- Ability to balance hands-on development with strategic leadership
- Passion for data governance metric consistency and trusted analytics
- Collaborative mindset with strong stakeholder engagement skills
Required Experience:
Senior IC
About Company
The top ERP solutions and services partner in the US for over 40 years, specializing in discrete and process manufacturing environments.