Data & Insights Analyst

Measurelab

Measurelab is actively seeking a Data & Insights Analyst to join their multi-disciplinary team. The role is essential in analyzing diverse data sets to improve marketing strategies, enrich customer experience, and enhance business performance. Candidates will engage with collaborative efforts to gather insights that drive decision-making processes.

In this role you can expect to have the responsibilities:

• Ensure consistent delivery of analysis while identifying enhancement opportunities.
• Prepare and present regular user behavior, campaign performance, and product analysis reports.
• Collaborate with stakeholders and team members to define requirements and deliver customized analytics solutions.
• Maintain data reporting integrity and interpretation.
• Adapt processes within major client teams to enhance streamlining in different workstreams.
• Coordinate with the implementation team to uphold analytics data integrity.

This role comes with the following benefits:

• 25 days of holiday annually plus Bank Holidays.
• Additional paid days for Christmas closure.
• Additional day off on your birthday.
• Option to buy back up to 10 extra holiday days.
• Three charity days per year.
• Private healthcare and wellness schemes.
• Performance-based bonus up to £4k annually.
• Flexible work arrangements.
• Social activities, hackathons, and team-building events.
• Membership in a dynamic and enjoyable team.

This role requires you to have:

• Proficient in SQL, especially on cloud platforms like BigQuery.
• Capability to integrate data from various sources for cross-functional analysis.
• Ability to convert data into clear reports and manage reporting processes.
• Strong passion for data and effective communication of its technical aspects.
• Willingness to undertake projects requiring new methodologies.
• Experience with BI tools such as Looker Studio, Tableau, or Power BI.
• Background as a Digital or Marketing analyst or web data understanding, with Google Analytics as a preferred skill.

You would benefit from having:

• Experience in product analytics and experimentation.
• Knowledge of Python.
• Familiarity with advanced analysis, statistical methods, and ML/AI.
• Understanding of Google Cloud tools and capabilities.
• Experience with Google Dataform or dbt.