At a Glance
- Tasks: Analyse data and collaborate with teams to drive business improvements.
- Company: Dynamic company focused on data-driven solutions and innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for growth.
- Other info: Join a collaborative team and enhance your career in a fast-paced environment.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Experience in data environments and strong analytical skills required.
The predicted salary is between 40000 - 50000 £ per year.
Overview
Internal Job Description.
This position is not eligible for employment visa sponsorship now or in the future.
Applicants must be legally authorized to work in the country of employment without the need for current or future employer sponsorship.
Responsibilities
- Gather, analyze, document, and validate business, functional, and data requirements from key stakeholders.
- Collaborate with business, data engineering, analytics, and development teams to translate requirements into detailed functional specifications and user stories.
- Analyze data to identify trends, gaps, risks, and opportunities that support business decision-making and process improvements.
- Support the design and implementation of data-driven solutions, ensuring alignment with business objectives and technical requirements.
- Partner with technical teams to define requirements related to data modeling, data pipelines, data integration, and reporting solutions.
- Perform data analysis, validation, and testing to ensure data quality, accuracy, and integrity across systems.
- Facilitate requirements workshops, stakeholder meetings, and documentation reviews.
- Monitor project progress and assist in identifying and mitigating risks, issues, and delivery impediments.
- Serve as a liaison between business stakeholders and technical teams to ensure successful delivery of solutions.
- Utilize domain knowledge and analytical skills to synthesize input from multiple stakeholders and recommend process improvements.
- Support user acceptance testing (UAT) by developing test scenarios, validating results, and documenting outcomes.
- Maintain project documentation, business requirements, process flows, and functional specifications using Jira and Confluence.
Qualifications
- Experience working with data-intensive environments, analytics platforms, or enterprise data solutions.
- Understanding of data modeling, data pipelines, Snowflake infrastructure, and API integrations.
- Strong analytical and problem-solving skills with the ability to interpret and communicate complex data requirements.
- Familiarity with Atlassian Confluence and Jira for requirements management, documentation, and Agile delivery.
- Experience working with cross-functional teams in Agile/Scrum environments.
- Typically requires 2–5 years of Business Analyst experience, preferably supporting data, analytics, reporting, or technology initiatives.
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StudySmarter Expert Advice🤫
We think this is how you could land Business Analyst – Data Focused in London
✨Get Involved in Data Science Meetups
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Business Analyst – Data Focused at IQVIA LLC.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like IQVIA LLC.
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We think you need these skills to ace Business Analyst – Data Focused in London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at IQVIA LLC, 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 IQVIA LLC. 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 IQVIA LLC
✨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 IQVIA LLC!
✨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.
