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About our Marketing Analytical Consultant role.
Our Marketing Analytical Consultant will collaborate closely with global data analysts and performance marketing teams and regional operations managers to ensure a global standard is adopted and regional marketing teams are leveraging data analytics to drive informed decision-making and contribute towards the overall marketing and business objectives.
The Marketing Analytical Consultant will have direct alignment to a specific region. They will be responsible for analysing marketing data specific to a designated region, extracting actionable insights, and providing recommendations to optimise regional marketing strategies, tactics and campaigns.
About The Team
The Marketing Regional Analytics team ensures that marketing decision-makers across Sage have data and insights at their fingertips to drive growth. Positioned in the market to consult and advise marketers on the relevant data and insights, the team includes a mix of Analytical Consultants and Data Scientists. They bring their analytical skills to solve marketing challenges, from campaign planning to automation to measurement.
Location
3 days per week out of our Barcelona Office and 2 days from home.
Summary of your day-to-day?
As a Marketing Analytical Consultant, you will analyse regional marketing data to identify trends, patterns, and insights that inform regional marketing strategy, campaign optimisation, and performance evaluation. You will also collaborate with data scientists to interpret predictive models to forecast regional marketing outcomes, (i.e., sales revenue, customer churn, or campaign response rates) and provide marketers with actionable recommendations based on the analysis and findings. You will also develop and maintain dashboards, reports, and visualisations to communicate key findings and performance metrics to regional marketing stakeholders.
Minimum Qualifications
4+ years experience in analytics, consulting, or banking industries.
Proven experience with data analysis and interpretation, data visualization, programming languages, data platforms
History of finding actionable insights in data and contributing to data-driven decision making
Consultative approach to business partnering, capturing requirements, aligning stakeholders, validating solutions, and documenting outcomes
Business acumen with strong understanding of key business metrics and the ability to align marketing analytics efforts with broader business goals
We will be extra interested in your experience using Salesforce, Google Analytics, PowerBI, or Snowflake!
Benefits
Flexible benefits: exchange part of your salary and make tax savings on health insurance, meal and transport vouchers, childcare, and training.
Well-being: Free access to the Calm app (for up to 5 users), 24/7 counselling, and emotional support from our Healthy Mind Coaches. We also offer self-care and parenting resources through the Cleo app.
Flexible working: flexibility of working one hour in, one hour out, shortened workdays on Fridays and during the summer, and the opportunity to work from over 40 countries for up to 10 weeks per year through our Work Away program.
Annual leave: 23 working days of vacation, 5 paid days per year for volunteering, and 5 additional paid days annually for personal or professional development.
Extended leave: 7 extra days of maternity leave and 5 extra days of paternity leave, on top of the legal allowance, available after one year of service.
Financial support: Life and disability insurance, salary advances of up to 3.5 times your net monthly pay, a €300 net marriage bonus, and access to Sage's employee stock purchase plan at a discounted rate.
Health and Safety Responsibilities
Fostering the safety culture, by leading with your own example.
Following established safety procedures and reporting potential hazards promptly helps maintain a secure and efficient workplace.
Participating in safety training sessions and adhering to preventive guidelines and procedures, the objective is minimizing risks and protecting yourself and the rest of your colleagues.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Research, Analyst, and Information Technology
Industries
Software Development
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