Job Description
Roles & Responsibilities
Responsibilities
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Assist in wrangling data using Salesforce, SQL, Snowflake, and Tableau to discover patterns, correlate findings, and measure the impact on the business and key metrics
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Create interactive and intuitive visualisations using Tableau
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Develop a deep understanding of enterprise data and operational details of the business (e.g. forecasting, pipeline, bookings, data quality)
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Automate manual reporting processes and improve data quality
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Troubleshoot data issues/inconsistencies and bugs, and recommend/make enhancements to existing dashboards/reports
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Partner with and consult Professional Services sellers and sales leadership to provide accurate data/information and make recommendations for how to run the business
Required Qualifications:
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English fluency
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2+ years of experience in business intelligence, analytics/reporting, data analysis
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Hands-on experience with Data Modelling, Relational Databases, SQL, Tableau, and Google Sheets/Excel, Python
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Know how to extract, manipulate and transform data
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Able to translate complex technical results into clear, actionable insights
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Cross-functional collaboration with teams and personas such as sellers, sales leaders, commercial officers, sales enablement, product, data engineering
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Ability to quickly grasp technological and business concepts
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Problem Solving: Proven ability to identify issues and develop creative solutions.
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Adaptability: Comfortable working both independently and as part of a collaborative team
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Multi-tasking: Skilled at managing multiple priorities and tasks simultaneously
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Resilience: Ability to maintain high performance in a fast-paced, high-pressure environment
Preferred Qualifications:
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Additional technologies: Gemini, Claude, NotebookLM, Github, APIs, Sagemaker, Snowflake, Cloud Computing
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Taking part in AI/ML initiatives
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Knowledge of Salesforce products, platform features, and capabilities
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Sales/GTM knowledge
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Background in professional services or SaaS industry
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Bachelor s degree (or equivalent) in related field
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