Application Consultant

Zilliant

$90K — $120K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in business information systems, business analytics, management information systems, or related STEM field
  • 1 year of experience in technical consulting or similar role
  • Experience with Salesforce implementation in a consulting context
  • Proficient in SQL Server or similar RDBMS with Big Data Technologies
  • Familiarity with Tableau or other data visualization tools
  • Experience with APIs (Soap or Rest)
  • Knowledge of pricing solutions and digital transformation strategies.

Responsibilities

  • Implement and optimize Zilliant's pricing and revenue management software
  • Translate client business needs into data-driven solutions
  • Engage with stakeholders to provide product configuration guidance
  • Execute data transformations using SQL, Python, and ETL tools
  • Design relational data models and schemas for analytics
  • Apply advanced analytics techniques for pricing optimization
  • Build data visualizations and dashboards in Tableau.

Benefits

  • 100% telecommuting from anywhere in the United States
  • Opportunity to bridge business and technology in a consultative role
  • Engagement with enterprise clients in diverse sectors
  • Involvement in leading-edge pricing and analytics solutions
  • Focus on iterative enhancements for long-term client success.
Full Job Description
Zilliant Inc. in Austin, TX seeks Application Consultant. Responsible for the implementation, configuration, and optimization of Zilliant's pricing and revenue management software applications for enterprise clients. Acts as the bridge between business users and technical teams by translating complex client requirements into scalable data-driven solutions. Engage with client stakeholders to understand business objectives and provide guidance on the configuration of pricing and analytics applications based on in-depth product knowledge. Execute extensive data transformations including cleansing, preparation, normalization, enrichment, and formatting using SQL (T-SQL), Python, and ETL tools to prepare structured datasets for use in analytics models and application workflows. Design and implement relational data models and schemas in SQL Server and NoSQL environments, including ER modeling, foreign key relationships, and data indexing for performance. Apply advanced analytics techniques such as non-linear regression, resampling methods, and predictive modeling (e.g., demand forecasting, customer segmentation) using Python, leveraging libraries like pandas, scikit-learn, and NumPy, to support pricing optimization and margin analysis. Develop, configure, and tune pricing models and business rules in Zilliant's platform to automate pricing logic, simulate pricing scenarios, and improve pricing precision. Build and deploy data visualizations and dashboards in Tableau, enabling stakeholders to monitor key metrics, validate pricing outcomes, and interpret model behavior through data storytelling. Implement and troubleshoot customer-specific configurations, managing deployment and adoption lifecycles. Maintain continuous documentation of transformation logic, configuration decisions, and analytics workflows to ensure transparency, reproducibility, and successful knowledge transfer. Actively support client adoption and long-term success through iterative enhancements, data quality validation, and performance optimization of deployed applications. 100% telecommuting from home allowed from anywhere in the United States.

Must possess a Bachelor's Degree in business information systems, business analytics, management information systems, or a related STEM field and 1 year of experience in the job offered or a related systems or technical consulting role. Must also possess course work or work experience with: (i) Salesforce implementation in a consulting capacity working directly with clients or stakeholders; (ii) leading technical discussions with a variety of customer profiles in the Distribution and manufacturing sectors; (iii) emerging technology to counsel clients on digital transformation strategies; (iv) SQL Server or similar RDBMS development skills with Big Data Technologies including writing queries and optimizing database performance; (v) developing and implementing pricing and technical pricing solutions; (vi) Tableau, AWS Quicksight, QlikSense, DOMO or ReDash; (vii) working with Soap or Rest APIs; and (viii) data or analytics solutions and applying them in AWS services.

Similar Jobs

More Enterprise Technology Jobs

Find similar Application Consultant jobs: