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For Companies At a Glance
- Tasks: Collaborate on analytics projects and help clients migrate to Omni.
- Company: Lenstra, a tech-driven company with a passion for excellence.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Why this job: Join a dynamic team and tackle real-world business challenges with cutting-edge analytics.
- Qualifications: Degree in a relevant field and 4+ years of experience in analytics engineering.
- Other info: Work in a collaborative environment with top-tier clients across various industries.
The predicted salary is between 36000 - 60000 £ per year.
Key Responsibilities
- Collaborate with technical teams to establish Analytics engineers best practices
- Helping the client migrate from tableau to omni
- Work with our clients’ teams to address their business challenges, define successful analytics outcomes and develop data models to address them.
- Collaborate with data engineers, analytics engineers, and other analytics team members to define the scope and requirements of analytical projects.
- Stay up to date with the latest technologies and tools in analytics engineering and contribute to the growth of Lenstra’s analytics capabilities.
Skills
- Bachelor\’s or Master\’s degree in Computer Science, Engineering, Mathematics, Statistics, or related field.
- 4+ years of experience in data engineering, analytics engineering, or a related field.
- Excellent analytical and problem-solving skills, with the ability to work on complex and ambiguous problems.
- Strong communication and collaboration skills, with the ability to work in a team environment.
- Ability to manage multiple priorities and work effectively.
- Strong experience with dbt and Snowflake.
- Experience with Omni implementation.
- Experience with data modelling, ELT processes, and data warehousing.
- Familiarity with data visualisation tools such as Looker, Power BI, or similar.
Application Process
- an introductory call with the recruiter
- a technical + behaviour interview with one of our Analytics Engineer Consultants
- a final interview with the client
Location
UK or Germany based candidates.
Seniority level
- Mid-Senior level
Employment type
- Contract
Job function
- Analyst and Consulting
Industries
- IT Services and IT Consulting and Financial Services
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Sr. Analytics Engineer / Omni Specialist employer: Lenstra
Contact Detail:
Lenstra Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Analytics Engineer / Omni Specialist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Lenstra. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with dbt, Snowflake, and Omni. We want to see how you tackle real-world problems.
✨Tip Number 3
Show off your collaboration skills! Be ready to share examples of how you've worked with teams to solve complex challenges. We love candidates who can communicate effectively.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who fit our culture.
We think you need these skills to ace Sr. Analytics Engineer / Omni Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with dbt, Snowflake, and any relevant analytics projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about analytics engineering and how your background aligns with our needs. Don’t forget to mention your experience with Omni implementation and data modelling.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We love seeing candidates who can think critically and come up with innovative solutions, especially in analytics contexts.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Lenstra!
How to prepare for a job interview at Lenstra
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of dbt, Snowflake, and Omni. Be ready to discuss how you've used these tools in past projects and how they can be applied to the role at Lenstra. This shows you're not just familiar with the tech, but that you can leverage it effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've tackled in your previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical skills and how you approach challenges, which is crucial for this position.
✨Collaboration is Key
Since the role involves working closely with various teams, be ready to discuss your experience in collaborative environments. Share specific instances where you successfully worked with data engineers or analytics teams to achieve a common goal. Highlighting your communication skills will set you apart.
✨Stay Current with Industry Trends
Research the latest trends in analytics engineering and be prepared to discuss them during your interview. Showing that you're proactive about staying updated with new technologies and methodologies will impress the interviewers and demonstrate your commitment to growth in the field.