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
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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
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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
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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
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Experience 〰️
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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.
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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.
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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.
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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
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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