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Senior CRM Analyst

  • On-site
    • Tehran, Tehrān, Iran, Islamic Republic of
  • CRM

Job description

As a Senior CRM Analyst, you'll play a crucial role in driving data-driven decision-making within our organization. You'll collect, process, and analyze data to identify trends, patterns, and opportunities that can inform strategic initiatives and operational improvements.

  • Business Understanding: Understand business objectives and design data analysis plans to support them.

  • Data Collection and Processing: Collect and process data from multiple sources using SQL queries.

  • Data Communication: Create data visualizations and reports to effectively communicate findings to non-technical audiences.

  • Reporting Solutions: Build and maintain reporting solutions based on business requirements.

  • Exploratory Data Analysis: Perform exploratory data analysis to identify trends, patterns, and relationships in the data.

  • Documentation: Develop and maintain documentation of analytical processes and experiments.

  • Ad-Hoc Investigations: Conduct ad-hoc data investigations when necessary.

  • Data-Driven Decision Making: Design, build, and maintain ML models, A/B experiments, and analysis to inform data-driven decisions.

  • Cross-Functional Communication: Maintain effective communication with teammates and other internal departments to ensure proper data communication and addressing.

Job requirements

  • Education: Bachelor's or Master's degree in Computer Science, Management of Information Systems, Computer Engineering, Industrial Engineering, Mathematics/Statistics, MBA or a related field.

Technical Skills:

  • Strong proficiency in using various applications and platforms for data extraction, manipulation, analysis, visualization, and reporting.

  • Advanced SQL databases and query language skills.

  • Experience with MS Excel and A/B testing.

  • Advanced Python Skills (Data Science libraries, Visualization libraries).

  • Advanced understanding of ML and DS contexts.

  • Experience with data science projects, including data collection, analysis, and reporting.

  • Well-developed ability to communicate in English verbally and in written form.

  • Ability to work under pressure in a fast-paced and rapidly changing environment.

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