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For Companies At a Glance
- Tasks: Analyze and present data to drive business insights and 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 43200 - 72000 £ per year.
Location: Remote (within the UK, Ireland, and select European countries) About the Role Our client are well known in the payments transactions market, and are keen to add a Data Analyst to their growing team. You will play a key role in preparing, analysing, and presenting data to drive insights that support critical business decisions. This position offers the flexibility of remote work within designated countries, making it ideal for a self-motivated and results-oriented professional. Key Responsibilities Extract, manipulate, and analyse data from various sources, including Snowflake, BigQuery, Redshift, and other data platforms. Develop and maintain high-quality dashboards and reports using data visualisation tools. Collaborate with stakeholders to understand business needs and deliver actionable insights. Utilise Looker and LookML to design and build scalable analytics solutions (strong advantage). Translate complex data into clear, actionable recommendations for both technical and non-technical audiences. Ensure data quality, integrity, and consistency across all analytics and reporting activities. Key Qualifications Proficiency in SQL: Experience with Snowflake, BigQuery, Redshift, or similar technologies. Data Visualisation Expertise: Demonstrated ability to create impactful visualisations using tools such as Looker, Tableau, or Power BI. Looker and LookML: Strong experience with Looker and LookML is highly advantageous. Analytics Experience: Solid background in data preparation, data analytics, and presenting insights to stakeholders. Stakeholder Communication: Proven ability to collaborate and communicate effectively across all levels of an organisation. Preferred Skills and Experience Experience working with cloud data warehouses and modern data architectures. Familiarity with advanced analytics methods, such as predictive modelling or machine learning, is a plus. Strong problem-solving skills and a proactive approach to identifying opportunities for process improvement. Why Join Us? Competitive salary and bonus structure. Opportunity to work remotely within an international team. Exposure to cutting-edge tools and technologies in data analytics. A collaborative and supportive work environment where your contributions make a direct impact. Any further questions, please feel free to contact Brendan McCrory directly Benefits: Work From Home
Senior Data Analyst employer: Ocho
Contact Detail:
Ocho 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 will make you stand out.
✨Tip Number 2
Since Looker and LookML are highlighted as advantageous, consider creating a small project or dashboard using these tools. This practical demonstration of your skills can be a great conversation starter during interviews.
✨Tip Number 3
Prepare to discuss how you've effectively communicated complex data insights to both technical and non-technical stakeholders in your previous roles. Real-life examples will help illustrate your ability to bridge the gap between data and decision-making.
✨Tip Number 4
Research the company’s current analytics practices and think about how you can contribute to their goals. Tailoring your insights and suggestions based on their business needs can demonstrate your proactive approach and genuine interest in the role.
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 visualization tools like Looker, Tableau, or Power BI. Emphasize any relevant projects where you extracted, manipulated, and analyzed data.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background in data analytics aligns with their needs, particularly your experience with cloud data warehouses and stakeholder communication.
Showcase Your Technical Skills: If you have experience with Looker and LookML, make sure to mention it prominently. Provide specific examples of how you've used these tools to create impactful visualizations or analytics solutions.
Highlight Problem-Solving Abilities: Include examples in your application that demonstrate your strong problem-solving skills and proactive approach to identifying opportunities for process improvement. This will show that you can contribute effectively to their team.
How to prepare for a job interview at Ocho
✨Showcase Your SQL Skills
Be prepared to discuss your experience with SQL and how you've used it in previous roles. Highlight specific projects 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 examples where you successfully collaborated with non-technical teams and how your insights drove business outcomes.
✨Prepare for Technical Questions
Expect questions about data quality and integrity. Be ready to discuss how you ensure accuracy in your analytics and any challenges you've faced in maintaining data consistency.
