Market Data Analyst Resume Austin, TX - Hire IT People

SUMMARY

4+ experienced analyst specializing in data analysis (collection, cleaning, mining, interpolation), project management, and client management.
Proven track record of leading project teams to deliver R&D products in a variety of tech - related industries.

TECHNICAL SKILLS

Software and Programming: Python, R, and SQL (SQL server). Microsoft Office tools (Word, PowerPoint, Excel (vlookup, hlookup, pivot tables)), SAS, LIMS, Azure, Talend, Tableau, gretl, PowerBI, and SDLC (Agile).

Core Skills: Data Analysis (extraction, munging, visualization, mining, and interpolation), Machine Learning, Statistics (regression analysis, correlation, population variance, t-tests, p-values, confidence intervals, etc), Technical data presentation in both trade conferences and pre-sales environment, Primary and secondary market research, project management, client management.

PROFESSIONAL EXPERIENCE

Confidential, Austin, TX

Market Data Analyst

Responsibilities:

Data Analysis: Collect key points using primary and secondary data collection methods on B2B sales methodology and CRM philosophy. Synthesize and Munge data and translate analysis for teh development team.
Quality Assurance: Develop and implement user-test cases to determine if requirements are met, convey findings to teh development team. Used Python and R scripts to validate user data to fine-tune analytics engine.
Client Management: Main point of contact with digital customers and company. Collect client needs and synthesize their requirements and related metrics to share with teh development team.
Technical Support: Act as lead liaison between development team and clients in all technical support issues.
Skills: Data Analysis (Excel, Python, R), Power BI, Azure, Market research, Client Interaction, Technical data presentation.

Confidential, Colege Station, TX

Research Associate

Responsibilities:

Data Analysis: Synthesized and munged experimental data and analyzed using standard statistical methods in Python and Excel (regression analysis, correlation, population variance, t-tests, p-values, confidence intervals, etc) to establish validation standards and set user acceptance criteria. Created models from validation data to establish feasible metrics for products using Excel and R. Visualized experimental data using Python packages for technical presentations. Validated data to determine if met requirements.
Project Management: Responsible for planning, execution, and delivery of short-term contract molecular research project (6-9 months) through requirement gathering from upper management, analyzing previous documentation and developing validation steps to ensure final product fulfills requirements. Experienced in leading teams and delivering in agreed-upon timelines.
Client Management: Experienced with interacting and maintain client relationships, acting as a point of contact with clients. Presenting to clients in a high technical format with bi-monthly updates to client leadership. Provided technical help to clients after project completion. Represented company at trade conferences to find new customers.
Operations Management: Responsible for inventory, purchasing, and supplies for teh laboratory while within budget. Conducting budgetary analysis and creating forecasts.
Technical Training: Trained junior team-members in conducting data analysis.
Projects: Participated in and lead putative research opportunity evaluations, conducting primary and secondary molecular research to monitor competitor R&D.
Skills: Data Analysis (Excel, Python, R), LIMS, shell scripting, Bioinformatics, Technical data presentation in both trade conferences and pre-sales environment

Confidential, Austin, TX

R&D Intern

Responsibilities:

Data Analysis: Synthesized and munged experimental data and analyzed using standard statistical methods (regression analysis, correlation studies, population variance, etc.) on SAS software to establish validation standards and set user acceptance criteria. Validated data to determine if it met requirements.
Research: Determined market opportunity for a customizable molecular assay on Confidential flow cytometry technology for food safety. Performed secondary analysis to determine sequence targets.
Key Achievements: Developed a customizable molecular serotyping assay to test food samples for microbial contamination using DNA amplicons and fluoresce tags for teh Confidential 200 Platform.
Skills: Data Analysis (SAS), Technical Data Presentation.

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Market Data Analyst Resume

Austin, TX

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