Tainá Townsend

Data Analyst, Dc Analytics @lululemon

Langley, BC, CA
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Mar 2024 — Present

Data Analyst, Dc Analytics @lululemon

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BC, CA

Lead in creating tools, reporting (i.e. vendor and departmental KPI’s) and processes to enable the liaison office to conduct day-to-day business with greater efficiency, always striving for continuous improvement- Responsible for creating and issuing dashboards and analysis in Excel, Power Point or Power BI that range from weekly to monthly to bi-annually, giving clear stats and advising observations of the data to inform the business on performance relative to KPI’s and goals- Support initiatives as they relate to business functions/supply chain and the streamlining of business operations to support strategic direction- Work on ad-hoc reports and projects as needed.

EDUCATION

2017 — 2018

Uninove - Universidade Nove de Julho

Professional Master of Science in Business, Project Management

2013 — 2016

Uninove - Universidade Nove de Julho

Specialization, Project Management

2017 — 2017

Bentley University

Advanced Topics in Project Management, Project Management

2014 — 2016

Uninove - Universidade Nove de Julho

Bachelor's degree, Business Administration and Management, General

2010 — 2012

Uninove - Universidade Nove de Julho

Diploma of Education, Business Administration focused in Human Resources Management

N/A

Uninove - Universidade Nove de Julho

Doctor of Philosophy - PhD, Business Administration and Management, General

2019 — 2019

Grenoble Ecole de Management

Fall School Residential Seminar - Entrepreneurship and Innovation, Business Administration and Management, General

ABOUT TAINÁ TOWNSEND

Skilled analyst with a Ph.D. in Business Administration and 15+ years of professional experience. Has developed a career balancing data analysis and project management in different industries such as human resources, product development, agribusiness, consumer goods, educational consulting, marketing, and retail. Main technical skills: Programming Languages: SQL, Python (Pandas, NumPy, Matplotlib, Regex), R (dplyr, tidyr, ggplot2) Data Visualization: Power BI, Looker Database System: Oracle 11g, MySQL, Microsoft Access Software Applications: Jupyter Notebook, Anaconda, R Studio, Visual Studio, Microsoft Office, Excel, PowerPoint, Microsoft Project, Jira, Jamovi, SPSS

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