Sales Engineer and Data Analytics Professional

Skilled Sales Engineer with a strong technical background in digital marketing, data analytics, and solution engineering. Proven expertise in supporting sales teams, leading proof-of-concept projects, and simplifying complex technical concepts for diverse audiences. Focused on driving business growth through innovative technology and delivering exceptional client value.

Sales & Engineering Skills

💼⚙️💡

  • Cloud Sales Engineer at Actian

  • MEDDIC Sales Methodology

  • Pre/Post Sales Engineers

  • Partner Relationship Management

  • Solution Implementation

  • Partner Sales Engineer at Actian

Data & Analytics Skills

📊🔍📈

  • Data Integration

  • Data Governance

  • Data Analytics

  • Data Visualization

  • SQL (5 endorsements)

  • Data Mining (2 endorsements)

  • Microsoft Power BI

  • Looker (Software)

  • Kronos

  • Skyward

  • Datasets

  • Analytical Skills

Technical & Software Skills

💻🔧🖥️

  • Java (2 endorsements)

  • JIRA

  • HTML (3 endorsements)

  • CSS (3 endorsements)

  • PHP (1 endorsement)

  • Microsoft SQL Server

  • Microsoft Access (1 endorsement)

  • C# (1 endorsement)

  • Tableau

  • Microsoft Excel (2 endorsements)

  • Visual Basic

Experience

〰️

Experience 〰️

  • Actian, Austin, TX

    August 2023 - Present

    • Serve as a technical guide on all aspects of the Actian data platform and product portfolio, supporting partners and customers in understanding its capabilities.

    • Collaborate with the Partner Sales team to identify and close new business opportunities, providing pre-sales support like needs analysis, technology review, and solution scoping.

    • Deliver compelling product presentations, demonstrations, and proof-of-concept projects tailored to prospect, partner, or internal needs in competitive environments.

    • Maintain expertise in competitive and complementary technologies, advising on positioning Actian solutions effectively and assisting with technical challenges as they arise.

    • Build and maintain strong partner relationships through proactive customer support, ongoing collaboration with Product Management, Engineering, and Marketing, and research-driven insights into customer needs and market trends.

  • Austin, TX

    April 2022 - August 2023

    • Own the transformation layer that standardizes business rules, defines data quality metrics and helps ensure the reliability of data for all teams using dbt.

    • Work with business leaders to evaluate constantly changing needs for these data models and provide creative solutions to solve these problems in a scalable & generic way.

    • Identify gaps in the existing data and work with data engineers to fill them.

    • Collaborate with various departments to translate business requirements into scalable, trusted, well-documented data products that can be leveraged for self-service analytics.

    • Work with the business to educate them on data availability, meaning and usage to enable users to service their own needs.

    • Utilize tools and create processes to map data lineage and data quality. Implement and maintain key business metrics definitions.

    • Contribute to the data discovery process by defining and maintaining data models built by data engineers for analytics and business intelligence usage.

  • Austin, TX

    November 2021 - April 2022

    • Develop reports, dashboards and interactive visualizations using different components of Microsoft Power BI.

    • Create ad-hoc analysis in support of department leadership.

    • Continuously monitor performance to identify improvements in data models.

    • Create and interpret analytics to share findings and recommendations with the internal team and other stakeholders.

    • Collaborate with Stakeholders to understand priorities, business needs, and functions.

    • Collaborate with the Analytics Engineering team to determine and address data and reporting needs for various company projects.

  • Leander, TX

    July 2021 - November 2021

    • Design, create, modify, implement and manage electronic data solutions to meet the computing and reporting needs of the district business data

    • Consult with end users to determine system and functional specifications related to the district's various business database systems, including ERP system and applicable integration

    • Design, develop, and implement custom solutions to provide reports, dashboards, and analytical tools for campus and district staff members

    • Analyzes data using standard statistical tools, methods, and techniques

    • Identifies data gaps, errors, anomalies, inconsistencies, and redundancies by analyzing the content, structure, and relationships within data

    • Prepares concise, comprehensive technical reports to present and interpret data, identify alternatives, and make and justify recommendations on data revisions

  • Austin, TX

    December 2018 - July 2021

    • Write complex SQL queries from the SIS database to interpret and implement data patterns

    • Collaborate and consult with district departments to resolve data management and integrity issues

    • Support users in the use of the district’s Information System (Skyward)

    • Develop, execute, and create technical documentation for appropriate test scripts regarding quality assurance measures

    • Manage the automation and data migration of district third party software imports/exports

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