Ejaz H.

Ejaz H.

Data Operations Analyst Ii Technology @ The Economist

About Ejaz H.

Ejaz H. is a Data Operations Analyst II at The Economist, specializing in technology and data analytics. With a background in marketing automation and campaign management, he has held various roles in data analysis and operations across multiple companies.

Work at The Economist

Currently, Ejaz H. serves as a Data Operations Analyst II in the Technology department at The Economist. He has held this position since 2022, contributing to the organization's data management and operational efficiency for a period of two years.

Previous Experience in Data Analysis

Ejaz H. has a diverse background in data analysis, having worked at Wunderman Thompson MSC as a Senior Data Analyst for Microsoft from 2020 to 2021. He also held the position of Team Lead for INC Data and Email Marketing at Rooftop Digital from 2021 to 2022. His earlier roles include working as a Business Process Associate at Accenture and as a Database Marketing Associate at Cvent.

Education and Expertise

Ejaz H. earned a Master of Business Administration (MBA) in Marketing/Marketing Management from SVKM's Narsee Monjee Institute of Management Studies (NMIMS) between 2021 and 2023. He also holds a Bachelor of Technology (B.Tech.) in Electronics and Communication from Maharishi Markandeshwar (Deemed to be University), completed from 2013 to 2017. His expertise includes using Eloqua for marketing automation and Salesforce Marketing Cloud for email marketing.

Technical Skills and Proficiencies

Ejaz H. is proficient in various data analysis and business intelligence tools. He has experience using Power BI for data analytics and is skilled in creating smart lists for campaigns in Marketo. His technical capabilities extend to email campaign operations and database marketing.

Career Aspirations

Ejaz H. actively seeks job opportunities in the fields of Email Campaign Operations and Business Intelligence. His background in data operations and marketing analytics positions him well for roles that require expertise in data-driven decision-making.

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