Senior Data Analyst
Role details
Job location
Tech stack
Job description
We are on the look out for a Senior Data Analyst to take a lead on our data analytics effort to help us guide and scale our impact. We are just starting to build out our data capabilities, so this is an amazing opportunity to have an impact to the very direction of the company. The role is 90% hands-on, and reports into our Head of Data., * Help develop and implement a comprehensive analytics strategy that aligns with Evaro's objectives.
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Design, develop, automate, and maintain ongoing metrics, reports, analyses, experiments and dashboards on the critical drivers of our business.
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Maintain data integrity and quality through the use of tools such as DBT.
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Partner with teams across the org, including senior leadership, to provide insights and identify opportunities for growth and optimisation in company direction, patience experience, marketing and engagement flows.
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Champion the use of data in decision-making, ensuring data accessibility and literacy across all departments.
Requirements
Do you have experience in Statistical analysis?, Do you have a Master's degree?, * A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Economics, or a related field.
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5+ years of experience in data analytics in at least one (more is a plus) of the following business areas: Product, Marketing and/or Sales, Clinical
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Proficiency in analytics and data tools and technologies like SQL, Python, DBT, and knowledge of statistical analysis and experimentation (e.g. A/B testing)
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Experience with data visualisation tools (e.g. Looker, Metabase or Lightdash)
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Experience working with a version control environment (e.g. git).
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Excellent communication skills, with the ability to translate complex data insights into actionable strategies.
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Fluency in English, with outstanding written and verbal communication skills.
Desirable Skills, Experience & Qualifications
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Some experience with Google Cloud tech stack (Dataflow, Cloud Storage, BigQuery, Dataproc, Data Catalog, Cloud Functions, Cloud Run)
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Experience in data orchestration tools (e.g. Airflow, Prefect, Astronomer)
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Experience with data processing frameworks like Apache Kafka, Apache Iceberg and Debezium.
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Experience integrating third-party tools through data movement platforms (e.g. Fivetran, Airbyte)
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Some experience with predictive analytics
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Some experience with healthcare and patient care
Benefits & conditions
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Salary based on your expertise (are we ok to advertise actual salary?)
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Pension scheme
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Flexible working options
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Opportunities for professional development and growth