Senior Data Analyst

March 5

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Logo of Digital Alchemy

Digital Alchemy

Digital Alchemy is a marketing automation consultancy that specializes in providing tailored solutions to enhance customer-centric interactions for brands. With over 20 years of experience, they offer a range of services including strategy development, operational support, and AI-driven decisioning to help businesses improve revenue, retention, and loyalty. Their comprehensive approach leverages hyper-personalization and multi-channel orchestration to empower organizations in implementing effective marketing strategies and optimizing customer engagement.

Customer Strategy • Customer Analytics • Campaign Management • Data Management • Database Marketing

201 - 500 employees

Founded 2003

☁️ SaaS

📋 Description

• Working closely with key stakeholders to understand the business problem and execute data science projects that deliver business value added outcomes and insights. • Manage stakeholders up to Executive Team. • Design, build and implement automated reports and dashboards. • Build models and produce ad-hoc analyses and reports to support the business needs of our clients. • Interpret, translate and present analysis and modelling results in a business context and provide commercially actionable business opportunities. • Explain technical concepts to non-technical business stakeholders. • Work with sales and presales teams for prospects to demonstrate data science capabilities and solutions that solve business outcomes. • Support execution of strategic / transformational type of programs/projects and initiatives. • Part of the team to lead or manage functional teams and business experts as well as consultants to drive success across work streams. • Collaborate to find solutions for complex business problems. • Support large scale roll outs of strategies, processes and solutions.

🎯 Requirements

• Bachelor degree in computer science or related field. • Minimum of 3 - 5 years of experience with data analytic style engagements. • Exceptional communication skills with the ability to engage with a range of stakeholders and strong presentation skills to explain complex analytical concepts. • Advanced skills in SQL and Python for Data Scientist. • Excellent understanding of machine learning techniques and algorithms to work on predictive modeling. • Experience building out datasets and leveraging external data using various databases (SQL, etc) programming languages (Python, R etc) and ETL tools. • Expert user of spreadsheet applications and Excel. • Familiarity with data visualization: Tableau and presentation best practices.

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