Salesforce Data Analyst

We are in search of a Salesforce Data Analyst to lead the end-to-end management of Salesforce data by leveraging SQL to extract, validate, and cleanse datasets, ensuring high-quality insights, reliable reporting, and efficient, automated data processes for business stakeholders

Key Responsibilities:
• Extract, validate, and clean large datasets from Salesforce using SQL to ensure high data accuracy, consistency, and reliability for reporting and decision-making.
• Analyze Salesforce data structures and data flows to identify data quality issues, implement validation checks, and proactively resolve inconsistencies across CRM systems.
• Design and maintain efficient SQL queries and data pipelines to support regular reporting, KPI tracking, and ad-hoc business analysis.
• Collaborate with stakeholders to translate business requirements into data models, reports, and dashboards, while explaining how data is structured and how key metrics are derived.
• Drive process improvements and automation initiatives to optimize data extraction, transformation, and reporting workflows, increasing efficiency and reducing manual effort.

Qualifications:

• Bachelor’s degree in business administration/digital marketing and affinity towards digital channels or Bachelor in technical studies combined with a strong business acumen, exceptional communication skills, and digital marketing experience.
• 3+ years of digital marketing experience - specifically with the design and strategy of digital campaigns, and ideally, also with the operational execution of digital campaigns
• Strong understanding of Salesforce data structures and how CRM data flows within the system
• Hands-on experience with SQL for data extraction, validation, data cleaning.
• Experience with data management and reporting tools would be an advantage (power bi, google analytics, tableau)
• A Salesforce Administrator certification could be beneficial, not strictly required, as practical experience with data handling and system understanding is more important.
• Experience in guiding stakeholders through data and reporting concepts (e.g. how data is structured, how KPIs are defined, and how reports are built and interpreted)
• Understanding of automation principles and a strong focus on improving efficiency of processes.
• The global nature of this job requires being fluent in English - this job will be 100% in English.