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We are seeking a skilled Data Analyst to join our growing 177-person company (120 in the UK, 50 in the US) to drive data-driven decision-making through comprehensive analysis of our internal company operations and performance. This is a pivotal role for someone who is passionate about data analysis and wants a crash course on making an impact on business performance. This hire will own data analytics across the business. You will partner with every department to unlock key data insights through stable data pipelines, beautiful dashboards, and promoting data fluency across all of your interactions. This hire will be a fundamental part of our data team, spanning across many responsibilities and partnering with our Data Engineers to create a highly scalable, future-forward data strategy.
Job Responsibility:
Analyse core company data across departments
Design and build interactive dashboards using BI tools for key business metrics including, but not limited to, company growth metrics, product usage, and operational efficiency
Develop self-service analytic capabilities for department managers based on data needs and priorities
Conduct ad-hoc analysis to support strategic business decisions
Create executive-level reporting for board meetings and investor updates
Ensure data accuracy and consistency across all reporting platforms
Be part of building and deciding our BI and data technology stack
Perform data transformation and manipulation tasks to prepare datasets for analysis, including cleaning, aggregating, and structuring data to meet business requirements
Partner with Data Engineering to implement data governance practices, ensuring robust pipelines and data quality
Keep impeccable and useful documentation of all data sources, definitions, and methodologies
Requirements:
Bachelor's degree in Data Science, Statistics, Mathematics, Economics, or related field
Demonstrable experience in data analysis, business intelligence, or a related role
Proficiency in SQL and querying from a variety of data sources (databases, data warehouses, SaaS reporting applications)
Experience with BI tools (ThoughtSpot, Tableau, Power BI, Looker, or similar)
Strong Excel skills, including pivot tables, advanced formulas, and data modelling
Understanding of statistical concepts and data visualisation principles
Proficient in Python for data analysis, manipulation, and automation, with experience using libraries such as pandas, NumPy
Hands-on experience working with Snowflake or other cloud-based data warehouse platforms (e.g. Databricks,) including writing and optimising complex SQL queries for large-scale datasets
Ability to learn core business metrics across departments and ability to fluidly translate the requirements into business insights with the support of the leadership team
Experience working with company operational and/or financial data
Knowledge of data governance and compliance requirements
Excellent communication skills with ability to present complex data insights to non-technical stakeholders
Strong problem-solving and critical thinking abilities
Detail-oriented with high accuracy standards
Ability to work independently and manage multiple priorities
Collaborative approach to working with cross-functional teams
Comfortable with and excited about building out new processes from the ground up
Nice to have:
Experience in companies of similar size (100-200 employees) and/or being one of the first BI/Data employees
Certifications in relevant BI tools or data analysis platforms
Experience with cloud platforms (AWS, Azure, Google Cloud)
What we offer:
Vitality Health Insurance
Private healthcare that incentives a healthy lifestyle
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