At a Glance
- Tasks: Analyse data migration and systems replacement while collaborating with stakeholders.
- Company: Join a forward-thinking company focused on data-driven solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with potential for career advancement in a supportive environment.
- Why this job: Make a significant impact by shaping data strategies and improving business processes.
- Qualifications: 8+ years in business analysis with strong communication and stakeholder management skills.
The predicted salary is between 70000 - 90000 £ per year.
Must Have Skills:
- Strong experience in business analysis within data migration, systems replacement.
- Good understanding of data modelling, data quality assessment, and data governance principles.
- Excellent communication, facilitation, and stakeholder management skills.
Nice to have skills:
- Exposure to Market-Wide Half Hourly (MHHS) would be very useful.
Minimum years of experience: 8+ Years
- Gather information about existing data structures, data sources, business processes, and system dependencies.
- Analyze the legacy application’s data model, data volumes, data quality, and usage patterns.
- Capture and define business, functional, and non-functional requirements for the data migration.
- Identify data mapping requirements, transformation rules, validation needs, and migration constraints.
- Work with business users to establish acceptance criteria for migrated data.
- Identify gaps between the current data model and the target application’s data structure.
- Support the development of the future-state data model and migration strategy.
- Define high level migration scope, including in-scope/out-of-scope data entities.
- Assess risks, issues, and impacts related to data migration activities.
- Document system and process dependencies that may influence migration planning.
- Support the identification of data cleansing, archiving, and quality-improvement needs.
- Produce clear documentation such as discovery findings, requirements specifications, data dictionaries, process maps, and gap analyses.
- Present findings and recommendations to stakeholders in a structured and accessible manner.
- Act as the communication bridge between business stakeholders and technical teams.
Business Analyst Or technology lead in Nottingham employer: Infosys Pontoon
As a leading employer in the technology sector, we offer a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through comprehensive training programmes and opportunities for advancement, particularly in our vibrant location that thrives on technological advancements. Join us to be part of a culture that values communication, teamwork, and the pursuit of excellence in data management and analysis.
StudySmarter Expert Advice🤫
We think this is how you could land Business Analyst Or technology lead in Nottingham
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Infosys Pontoon!
✨Show Off Your Projects
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 Or technology lead at Infosys Pontoon.
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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 Infosys Pontoon.
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We think you need these skills to ace Business Analyst Or technology lead in Nottingham
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 Infosys Pontoon, 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 Infosys Pontoon. 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 Infosys Pontoon
✨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 Infosys Pontoon!
✨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.
