Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop data models and dashboards to empower decision-making for business stakeholders.
- Company: Join IBM, a leader in AI-powered, cloud-native software solutions with endless global opportunities.
- Benefits: Enjoy remote work flexibility and access to cutting-edge technology and training resources.
- Why this job: Be part of a curious team transforming data into insights that drive impactful decisions.
- Qualifications: Bachelor's degree in a related field and 7+ years of experience in analytics or data engineering.
- Other info: This role can be performed from anywhere in the US.
The predicted salary is between 43200 - 72000 £ per year.
Join to apply for the Sr. Data Analytics Engineer role at IBM
Join to apply for the Sr. Data Analytics Engineer role at IBM
Introduction
A career in IBM Software means you\’ll be part of a team that transforms our customer\’s challenges into industry-leading solutions. We are an infinitely curious team, always seeking new possibilities, and dedicated to creating the world\’s leading AI-powered, cloud-native software solutions. Our renowned legacy creates endless global opportunities for our network of IBMers. We are a team of deep product experts, ensuring exceptional client experiences, with a focus on delivery, excellence, and obsession over customer outcomes. This position involves contributing to HashiCorp\’s offerings, now part of IBM, which empower organizations to automate and secure multi-cloud and hybrid environments. You will join a team managing the lifecycle of infrastructure and security, enhancing IBM\’s cloud solutions to ensure enterprises achieve efficiency, security, and scalability in their cloud journey. Recruiter should collaborate to create the relevant verbiage.
Introduction
A career in IBM Software means you\’ll be part of a team that transforms our customer\’s challenges into industry-leading solutions. We are an infinitely curious team, always seeking new possibilities, and dedicated to creating the world\’s leading AI-powered, cloud-native software solutions. Our renowned legacy creates endless global opportunities for our network of IBMers. We are a team of deep product experts, ensuring exceptional client experiences, with a focus on delivery, excellence, and obsession over customer outcomes. This position involves contributing to HashiCorp\’s offerings, now part of IBM, which empower organizations to automate and secure multi-cloud and hybrid environments. You will join a team managing the lifecycle of infrastructure and security, enhancing IBM\’s cloud solutions to ensure enterprises achieve efficiency, security, and scalability in their cloud journey. Recruiter should collaborate to create the relevant verbiage.
Your Role And Responsibilities
This is an individual contributor role responsible for hands-on development.
Analytics Engineering & Enablement is focused on translating our trove of data into consumable models and training that accelerate time-to-insight for the HashiCorp product organization.
As a Sr. Analytics Engineer, you will work closely with subject matter experts to design and develop data models that power common analytics use cases, powering ad hoc analyses, reports/dashboards, and AI/ML models.
You will make it easier for every PM and key business stakeholder at HashiCorp to consistently self-serve answers to their questions about customer behavior and product usage, by leveraging the wealth of customer and product data we generate.
What You’ll Do (responsibilities)
- Own the creation and maintenance of self-serve tools (data models, reports, dashboards, etc.) that enable business stakeholders to be data-driven in their decision-making.
- Deliver on inquisitive analyses that answer critical business questions.
- Develop training and enablement content to ramp users on models and dashboards in our portfolio.
- Identify and drive opportunities to make data more consumable and decrease time-to-insight for analytics consumers.
- Reduced time required for self-service users to generate actionable insights.
- High adoption of data models and dashboards you create.
- Reliable, accurate, and well-documented data solutions that stakeholders trust.
This job can be performed from anywhere in the US
Preferred Education
Bachelor\’s Degree
Required Technical And Professional Expertise
- Reduced time required for self-service users to generate actionable insights.
- High adoption of data models and dashboards you create.
- Reliable, accurate, and well-documented data solutions that stakeholders trust.
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience).
- 7+ years of experience in analytics, analytics engineering, data engineering, or a related role.
- Solid grasp of SQL, structuring data, and ability to effectively query multiple tables of different grains with the use of subqueries/ctes and window functions.
- Proficiency in data modeling tools like dbt or similar frameworks.
- Experience working with modern data management systems (e.g. Snowflake, Redshift, etc.).
Preferred Technical And Professional Experience
- Ability to shape ambiguity into tangible deliverables.
- Excellent problem-solving analytical skills with the ability to synthesize and communicate complex results.
- Demonstrated communication skills with an emphasis on written communication
- Comfortability with programming languages (e.g. Python, R, etc.) for data manipulation and automation.
- Knowledge of visualization best practices.
- Solid grasp of data modeling and semantic layers.
- Understands both data lake and data warehousing approaches to data management.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
-
Industries
IT Services and IT Consulting
Referrals increase your chances of interviewing at IBM by 2x
Get notified about new Senior Data Engineer jobs in Cambridge, England, United Kingdom.
Software Engineer, Data Infrastructure & Acquisition – Cambridge, United Kingdom
Cambridge, England, United Kingdom 1 week ago
Senior Software Engineer, AI Model serving – Cambridge, United Kingdom
Cambridge, England, United Kingdom 1 week ago
Cambridge, England, United Kingdom 1 day ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Sr. Data Analytics Engineer employer: IBM
Contact Detail:
IBM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Data Analytics Engineer
✨Tip Number 1
Familiarise yourself with IBM's culture and values. Understanding their commitment to innovation and customer outcomes will help you align your responses during interviews, showcasing how your experience fits into their mission.
✨Tip Number 2
Network with current or former IBM employees on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 3
Prepare to discuss specific analytics projects you've worked on. Be ready to explain your role, the tools you used, and the impact your work had on decision-making processes, as this will demonstrate your hands-on experience and problem-solving skills.
✨Tip Number 4
Stay updated on the latest trends in data analytics and cloud solutions. Being knowledgeable about current technologies and methodologies will not only impress your interviewers but also show your commitment to continuous learning in this fast-evolving field.
We think you need these skills to ace Sr. Data Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics engineering, data modelling, and any specific tools mentioned in the job description, such as SQL or dbt. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at IBM and how your background aligns with their mission of transforming customer challenges into solutions. Mention specific projects or experiences that demonstrate your ability to deliver data-driven insights.
Showcase Technical Skills: Clearly outline your technical skills in your application, especially your proficiency in SQL, data modelling tools, and programming languages like Python or R. Provide examples of how you've used these skills in past roles to solve complex problems.
Highlight Communication Abilities: Since the role requires strong communication skills, include examples of how you've effectively communicated complex data insights to stakeholders. This could be through reports, dashboards, or training sessions you've conducted.
How to prepare for a job interview at IBM
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL, data modeling tools like dbt, and modern data management systems such as Snowflake or Redshift. Be prepared to discuss specific projects where you successfully implemented these skills.
✨Demonstrate Problem-Solving Abilities
Prepare examples that showcase your analytical skills and how you've tackled complex problems in the past. This role requires a solid grasp of data analysis, so be ready to explain your thought process and the outcomes of your solutions.
✨Communicate Clearly
Since this position involves working closely with business stakeholders, practice articulating your ideas clearly and concisely. Focus on your written communication skills as well, as you'll need to create documentation and training materials.
✨Understand the Company’s Vision
Familiarise yourself with IBM's mission and the specific goals of the HashiCorp team. Showing that you understand their focus on AI-powered, cloud-native solutions will demonstrate your genuine interest in the role and the company.