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For Companies At a Glance
- Tasks: Analyze and present data to drive insights for business decisions.
- Company: Join a leading player in the payments transactions market.
- Benefits: Enjoy remote work flexibility and a competitive salary with bonuses.
- Why this job: Be part of a collaborative team using cutting-edge data analytics tools.
- Qualifications: Proficient in SQL and experienced with data visualization tools like Looker.
- Other info: Ideal for self-motivated individuals looking to make an impact.
The predicted salary is between 36000 - 60000 £ per year.
Job Title: Senior Data Analyst II Location: Remote (within certain European countries) Salary: Competitive, up to £55,000 GBP or equivalent (flexible for the right candidate) Bonus: 6% Role Overview: We are seeking a Senior Data Analyst II to join a dynamic Data Analytics team. This role involves delivering actionable insights by analysing complex data, creating visualisations using tools like Looker, Tableau, or Power BI, and collaborating with stakeholders to support strategic decision-making. Key Responsibilities: Analyse complex data sets to generate actionable insights. Create and present interactive data visualisations using tools such as Looker, Tableau, or Power BI. Collaborate with business stakeholders to provide data-driven solutions that support strategic decisions. Ensure effective data preparation and management for accurate and meaningful analysis. Key Qualifications: SQL Proficiency: Strong experience working with databases like Snowflake, BigQuery, Redshift, etc., and SQL query languages. Data Visualisation Tools: Experience in using Looker, Tableau, or Power BI to develop insights through visualisation. Looker & LookML: Familiarity with Looker and LookML is advantageous for customising reports and analytics. Data Analytics & Communication: A background in data preparation, analysis, and clear communication with business stakeholders. Skills: SQL Data Analyst Analyst Analytics Benefits: Work From Home 6% bonus
Senior Data Analyst employer: VanRath
Contact Detail:
VanRath Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Familiarize yourself with the specific data platforms mentioned in the job description, such as Snowflake, BigQuery, and Redshift. Having hands-on experience or projects that showcase your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Highlight your experience with data visualization tools like Looker, Tableau, or Power BI. Consider preparing a portfolio of dashboards or reports you've created to demonstrate your ability to present data effectively.
✨Tip Number 3
Since stakeholder communication is key for this role, practice articulating complex data insights in simple terms. You might even want to prepare a few examples of how you've successfully communicated data-driven recommendations in past roles.
✨Tip Number 4
Stay updated on the latest trends in data analytics and cloud data warehousing. Being knowledgeable about advanced analytics methods, like predictive modeling or machine learning, can give you an edge and show your commitment to continuous learning.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your proficiency in SQL and experience with data visualisation tools like Looker, Tableau, or Power BI. Emphasize any relevant projects where you've extracted, manipulated, and analysed data.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific experiences that demonstrate your ability to translate complex data into actionable insights and your collaborative skills with stakeholders.
Showcase Your Technical Skills: If you have experience with Snowflake, BigQuery, Redshift, or similar technologies, make sure to include this in your application. Highlight any projects where you've used Looker and LookML to build analytics solutions.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no typos or grammatical errors, as attention to detail is crucial in data analysis roles.
How to prepare for a job interview at VanRath
✨Showcase Your SQL Skills
Be prepared to discuss your experience with SQL and how you've used it in past projects. Highlight specific examples where you extracted and manipulated data from platforms like Snowflake or BigQuery.
✨Demonstrate Data Visualisation Expertise
Bring examples of dashboards or reports you've created using tools like Looker, Tableau, or Power BI. Be ready to explain your design choices and how they helped stakeholders make informed decisions.
✨Communicate Clearly with Stakeholders
Practice explaining complex data insights in simple terms. Think of scenarios where you successfully collaborated with non-technical stakeholders and how you translated data into actionable recommendations.
✨Prepare for Technical Questions
Expect questions about data quality and integrity. Be ready to discuss how you ensure consistency in your analytics and reporting activities, as well as any experience with advanced analytics methods.
