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.
- Other info: This role can be performed from anywhere in the US.
- 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.
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.
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.).
- 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 TechnologyIndustries
IT Services and IT Consulting
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#J-18808-LjbffrSr. Data Analytics Engineer in Cambridge employer: IBM
At IBM, we pride ourselves on fostering a culture of innovation and collaboration, making it an exceptional place for a Sr. Data Analytics Engineer to thrive. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that encourages creativity and problem-solving. Located in the vibrant city of Cambridge, UK, you will be part of a dynamic team dedicated to transforming data into actionable insights, all while enjoying the benefits of a flexible work environment and a strong focus on work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Data Analytics Engineer in Cambridge
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We think you need these skills to ace Sr. Data Analytics Engineer in Cambridge
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at IBM, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at IBM. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at IBM
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at IBM!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
