Jonathan Tran Email & Phone Number
@santander.us
2 phones found area 408
LinkedIn matched
Who is Jonathan Tran? Overview
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Jonathan Tran is listed as Founding Machine Learning Engineer at Hyperbound, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at santander.us, phone signal with area code 408, and a matched LinkedIn profile for Jonathan Tran.
Jonathan Tran previously worked as Manager of Data Analytics at Leandata and Sr. Data Analyst at Leandata. Jonathan Tran holds Master'S Degree, Information And Data Science from University Of California, Berkeley.
Email format at Hyperbound
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AeroLeads found 1 current-domain work email signal for Jonathan Tran. Compare company email patterns before reaching out.
About Jonathan Tran
Experienced Senior with a demonstrated history of working in the banking industry. Skilled in Microsoft Word, Databases, Event Management, Data Science, and Teamwork. Strong research professional with a Master of Science - MS focused in Business Analytics from Northeastern University.
Listed skills include Public Speaking, Internet, Online Gaming, Event Planning, and 26 others.
Jonathan Tran's current company
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Jonathan Tran work experience
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Manager Of Data Analytics
- Collaborate with executive & senior leadership to perform quantitative analysis and make recommendations for FP&A, forecasting, goal setting, product improvement, and M&A
- Lead a team of two analysts; prioritize data requests & initiatives; and manage stakeholderexpectations from managers and execs across product, marketing, sales, and engineering
- Implement an open source BI tool (Lightdash) to replace Tableau saving $25k annually andimprove organizational data literacy by training over 120 users to self-service analytics
- Spearhead a cross-functional initiative to reduce churn by leveraging product utilizationdata to generate alerts for customer teams, preventing an estimated $500k in annual churn
- Enhance and manage tech stack, such as using Docker to standardize dev environment
Sr. Data Analyst
- Conducted pricing analysis and recommended LeanData to switch pricing models for ~5% and 21% increase in commercial and enterprise user subscription price respectively.
- Optimized allocation of marketing budget by collaborating cross-functionally to build a multi-phase, multi-touch attribution algorithm that details key points of purchase cycle
- Partnered with stakeholders across product, engineering, finance, and operations to promote data reportability and ensure cohesive design of data collection for new products
- Scripted the generation of customer-facing business reviews using Python and Google slides API and reduced manual labor of customer experience teams by 25%
Data Analyst
- Secured budget approval and exec buy-in to build a data warehouse and develop scalable ELT processes to ingest multiple data sources into a source of truth for the entire business
- Wrangled, processed, and analyzed large volumes of structured and unstructured data, then applied statistical analysis to assess sales lifecycle and predict pipeline conversion
- Leveraged product & user data to build upsell initiatives creating ~2.3m pipeline annually
Part Time Professor And Guest Lecturer
- Undergraduate Professor (Data Visualization concepts and Tableau)Facilitator for Business Analytics Masters Class (Data manipulation and Regression Modeling)
- Instructed graduate students in preparing data sets, comparing analysis techniques, building predictive models, and interpreting regression models results in R
- Designed Data Visualization curriculum and instructed students in data manipulation with Python and visual storytelling with Tableau dashboards
Senior Business Intelligence Analyst
- Design, implement, and maintain an in-house application and relational data base toexecute a price increase across 300 services for 2,800 clients; this price increase isestimated to generate $1 million in continuous.
- Collaborate with a cross-functional teams to define business objectives, design SQLtables, and create interactive Tableau dashboards to enable strategic, data-drivendecision making for senior and executive management
- Partner with product teams to build key business/data requirements, identify dataquality risks, and construct data pipelines for ingesting vendor data
- Direct project managers and business stakeholders in building technical requirements,project timelines, and integration testing to successfully migrate legacy data warehouse
- Wrangle, process, and analyze large volumes of data from multiple platforms andsource systems to identify product market penetration and consumer behavior
- Automate product, sales, risk, and revenue reports with SQL, Python, Tableau, andExcel; communicate regularly with stakeholders to optimize KPI’s and reports
Business Intelligence Analyst
- Architected a relational SQL database with daily ETL processes to support applications, consolidate implementation data, enable automated report distribution
- Pioneered the utilization of Tableau and SSIS to transition from fragmented, manual excel reports to automated weekly, monthly and quarterly reports for multiple teams
- Developed an application to streamline the implementation ticketing process and replace error prone, time consuming manual processes previously used
- Increased operating efficiency of operations, client services, and sales teams by working with managers to develop reporting KPIs and standardized reporting
- Created data files and ad hoc queries to support a successful $6 million, multi-wave the Treasury Management platform migration
Commerical Banking Data Analyst/ Jr. Project Manager
- Secured $30 million in funds across 100 IT funding requests by preparing project requirements, monitoring procurement life cycle, and chasing projects deadlines
- Communicated key project details to C-suite Execs and Senior Directors for signoff
- Lead exploratory data analysis to support a $6 million Treasury platform migration
Data Management Analyst
- Identified and solved ETL errors by querying & analyzing SQL Prod/Dev server data
- Created and maintained portfolio data using investment management software
- Reduced audit risk by improving, documenting, and testing operational processes
Data Operations Analyst
- Improve trade resolution automation by analyzing marketing and sales data
- Resolved 400 data quality issues daily by validating against FINRA and Bloomberg
Spotifyu Influencer
Jonathan Tran education
Master'S Degree, Information And Data Science
Master Of Science - Ms, Business Analytics
Bachelor'S Degree, Management Information Systems & Finance Dual Concentraction
Education record
Frequently asked questions about Jonathan Tran
Quick answers generated from the profile data available on this page.
What company does Jonathan Tran work for?
Jonathan Tran works for Hyperbound.
What is Jonathan Tran's role at Hyperbound?
Jonathan Tran is listed as Founding Machine Learning Engineer at Hyperbound.
What is Jonathan Tran's email address?
AeroLeads has found 1 work email signal at @santander.us for Jonathan Tran at Hyperbound.
What is Jonathan Tran's phone number?
AeroLeads has found 2 phone signal(s) with area code 408 for Jonathan Tran at Hyperbound.
Where is Jonathan Tran based?
Jonathan Tran is based in San Francisco Bay Area, United States, United States while working with Hyperbound.
What companies has Jonathan Tran worked for?
Jonathan Tran has worked for Hyperbound, Leandata, Northeastern University, Santander Bank, N.A., and Gmo.
How can I contact Jonathan Tran?
You can use AeroLeads to view verified contact signals for Jonathan Tran at Hyperbound, including work email, phone, and LinkedIn data when available.
What schools did Jonathan Tran attend?
Jonathan Tran holds Master'S Degree, Information And Data Science from University Of California, Berkeley.
What skills is Jonathan Tran known for?
Jonathan Tran is listed with skills including Public Speaking, Internet, Online Gaming, Event Planning, Event Management, Computer Hardware, Computer Proficiency, and Microsoft Excel.
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