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CRKLR

Data Analyst (Web Analytics, Paid Search, and Paid Social)

CRKLR is just under a year old and already one of the fastest growing digital agencies in the UK. With a global footprint and an experienced senior team with decades of experience, we think and execute differently, offering our clients exceptional agility and creativity. We are playful and curious but driven by data and can demonstrate why our work has helped deliver bottom line growth for each and every one of our clients which include D2C ecommerce brands, retailers and the largest go-karting brand in the UK.

We are looking for people who want to be at the forefront of digital marketing, that want to be challenged and to challenge others around them.

We want people that don’t just drive our agency forward but deliver growth for our clients.

People that are prepared to go the extra mile, see the next big thing, can leverage the power of technology to solve complex problems and know what that special creative ingredient is that will drive brand growth.

If this sounds like something you would like to be a part of then we’d love to hear from you. And if you are successful in your application, rest assured that we will be behind you every step of the way to support and nurture your development.

Position Overview:

We are seeking a highly skilled and analytical Data Analyst to join our forward-thinking and rapidly growing digital marketing agency. As a Data Analyst, you will play a key role in gathering, analyzing, and interpreting data from web analytics, paid search, and paid social campaigns. Your insights and recommendations will be crucial in driving data-informed decision-making, optimizing campaign performance, and achieving measurable results for our clients. This is an excellent opportunity to contribute to the success of a dynamic agency and work with cutting-edge technologies and platforms.

Responsibilities:

Data Collection and Analysis:

• Gather, clean, and analyze data from various sources, including web analytics tools (e.g., Google Analytics), paid search platforms (e.g., Google Ads), and social media advertising platforms (e.g., Facebook Ads Manager).
• Conduct in-depth analysis of campaign performance, user behavior, conversion funnels, and other relevant metrics to identify trends, patterns, and opportunities.
• Utilize statistical methods and data modeling techniques to extract insights and create predictive models for campaign optimization.

Reporting and Visualization:

• Develop and maintain regular reporting dashboards, presenting key performance indicators (KPIs) and data-driven insights to internal teams and clients.
• Create visually appealing and informative data visualizations (e.g., charts, graphs, reports) to effectively communicate complex data findings.
• Collaborate with stakeholders to define reporting requirements and customize dashboards to meet specific client needs.

Campaign Optimization and Strategy:

• Collaborate with the digital marketing team to provide data-driven insights and recommendations for optimizing paid search and paid social campaigns.
• Identify opportunities for audience segmentation, keyword targeting, ad copy optimization, bid management, and other campaign optimizations.
• Work closely with the account management team to develop data-informed digital marketing strategies and provide input on campaign planning.

A/B Testing and Experimentation:

• Design, implement, and analyze A/B tests to evaluate the impact of different variables on campaign performance and user behavior.
• Conduct hypothesis testing and provide recommendations based on statistically significant results.
• Collaborate with the creative and content teams to develop test variations and ensure proper tracking and measurement.

Data Integrity and Quality Assurance:

• Ensure the accuracy and reliability of data by performing data quality checks, troubleshooting data discrepancies, and implementing data governance best practices.
• Collaborate with the technical team to ensure proper implementation of tracking codes, tags, and pixels to capture relevant data accurately.

Requirements:

• Bachelor's degree in statistics, mathematics, computer science, or a related field. Advanced degree is a plus.
• Proven experience (3+ years) as a Data Analyst, preferably in a digital marketing or advertising agency setting.
• Strong proficiency in web analytics tools such as Google Analytics, Google Tag Manager, and data visualization platforms (e.g., Data Studio, Tableau).
• Expertise in analyzing data from paid search platforms (e.g., Google Ads, Bing Ads) and social media advertising platforms (e.g., Facebook Ads Manager, LinkedIn Ads).
• Proficient in SQL for data querying and manipulation.
• Experience with statistical analysis, data modeling, and hypothesis testing.
• Strong analytical and problem-solving skills, with the ability to extract insights from complex data sets.
• Excellent attention to detail and ability to work with large volumes of data.
• Knowledge of digital marketing channels and best practices, including paid search, paid social, and web analytics.
• Familiarity with data visualization and reporting best practices.
• Strong communication skills, both written and verbal, with the ability to effectively present complex data findings to non-technical stakeholders.

Join our rapidly growing digital marketing agency and make a significant impact on campaign performance and client success through data-driven insights. Apply now and be part of our innovative team as a Data Analyst!

Job Types: Full-time, Permanent

Salary: £35,000.00-£45,000.00 per year

Benefits:

• Casual dress
• Company events
• Company pension
• Cycle to work scheme
• Private medical insurance
• Referral programme
• Work from home

Schedule:

• Monday to Friday
• No weekends

Supplemental pay types:

• Performance bonus

Ability to commute/relocate:

• Hove: reliably commute or plan to relocate before starting work (required)

Application question(s):

• Do you have experience in analyzing data from paid search platforms (e.g., Google Ads, Bing Ads) and social media advertising platforms (e.g., Facebook Ads Manager, LinkedIn Ads)?

Education:

• Bachelor's (required)

Experience:

• Data analytics: 3 years (required)
• SQL: 3 years (required)

Work authorisation:

• United Kingdom (required)

Work Location: Hybrid remote in Hove