Digital Analyst

at  Harvest Digital

JOB REQUIREMENTS

• Google Analytics – advanced knowledge, ideally GAIQ qualification
• GTM – preferred knowledge, including basic Javascript
• Google Marketing Platform – advanced knowledge
• BigQuery and SQL – good knowledge and willingness to learn more
• Looker Studio – advanced knowledge
• CRM software (e.g. Salesforce) – experience preferred but not necessary
• Python – experience beneficial but not necessary
• 2-3 years marketing analytics experience

SKILLS

• Flexibility and reactiveness when it comes to solving problems
• Ability to communicate technical topics to non-technical audiences
• Management of stakeholders at all levels
• Analytical Thinking and ability to examine data critically
• Growth Mindset and willingness to learn
• Time Management across multiple projects and clients

ROLE OVERVIEW

Harvest Digital is an independent, full service digital performance agency and our close-knit team of specialists are committed to helping their clients with whatever they need to grow their business online.
Due to growth and bringing on some amazing and very large clients, they are now looking to add to their data team with a Digital Marketing Analyst. This is an exciting role where no two days are the same, you will be a collaborative part of the team and business and be involved with all teams as well as being client facing. The right person should possess a data-driven mindset and be skilled at interpreting data and turning it into actionable insights.
We have a series of engagements where we are working directly with global teams to drive insights and action across multiple channels. This role will provide a great opportunity for personal development through hands-on exposure to a universe of digital challenges and channels.

RESPONSIBILITIES

• Set up a tracking mechanism (e.g. event and conversion tracking) on the website and other digital assets such as mobile apps
• Test, measure, analyse, and optimise the performance of search, social, content to display across conversion funnels to boost customer engagement and conversions, lower cost of customer acquisition, and increase customer life-time value (LTV)
• Set up dashboards and develop models for data presentation, and suggest recommendations for business performance improvement
• Identify new opportunities to help clients with data projects outside of BAU, e.g. data-driven attribution and how to balance spending across different data points
• Troubleshooting and responding to ad hoc client queries related to tracking, measurement and analytics
• Work closely with in-house teams and maintain client relationships through scheduling regularly meetings to go through reports and provide actionable insights