Mami-Zebah Anthony
Specialist, Business Intelligence @Initiative
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WORK HISTORY
Specialist, Business Intelligence @Initiative
Los Angeles, CA, US
Responsible for identifying opportunities for efficiencies in analytic service delivery, through standardization and automation, as well as partner delivery mechanisms such as SFPTs and APIs • Responsible for creating Entity modeling, implementing data pipelines, performing ETL processes and database querying.• Deliver measurement frameworks in the form of data storytelling/visualization in Tableau • Responsible for visualization / reporting of analyses of finance data and log-level data from digital channels across Ad Servers and other data sources • Solicit inputs from cross-craft team on campaign taxonomy implementation and verify team lead direction on alignment with Initiative data privacy policy • Support various teams and resolve data issues to ensure smooth day-to-day business
EDUCATION
Trine University
Master of Business Administration - MBA, MBA
University of Ghana
Bachelor of Science (BSc), Insurance
Hult International Business School
Masters In Business Analytics
Hult International Business School
MSc. International Marketing
ABOUT MAMI-ZEBAH ANTHONY
After spending a few years in the Insurance industry, my love for analyzing data and the business value it creates for various industries pushed me to pursue a dual degree master’s in international marketing & Business Analytics. I am one who is passionate about learning, open to diverse opportunity, embraces change, a good team player and with a growth mindset.I have hands-on experience launching software platform migrations and upgrades improving operational efficiency, revamping manual processes with enhanced automation techniques, and fostering effective relationships with key stakeholders to ensure business success and growth.Additionally, I have demonstrated success delivering high quality results in alignment with corporate goals within fast-paced and time-sensitive environments.SkillsSoftware: MySQL Queries, Snowflake, Microsoft Excel (Pivot, VLOOKUP, VBA Macros, Data Visualization), R (Statistical analysis), Python (Pandas, NumPy, Matplotlib, Scikit-Learn, Machine Learning), Tableau (Data Prep & Visualization), Office 365.Cloud Technology: Amazon Web Services (AWS Glue, AWS Lambda, S3, Step Functions).Skills: Data Engineering, Business Intelligence, Data Analysis & Insight Gathering, User Acceptance Testing, Data Validation, Descriptive Analytics, Predictive analytics, Training & Education, Qualitative/Quantitative Research analysis, Data Cleaning, Data Transformation, Database Management, ETLs, Problem-solving, Project Management, Team Building & Leadership.
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