At a Glance
- Tasks: Transform data into impactful insights and engaging reports using SQL, Power BI, and Excel.
- Company: Retail Insight combines retail expertise with cutting-edge technology to drive business success.
- Benefits: Enjoy hybrid working, generous PTO, wellness support, and personal perks like phone reimbursement.
- Other info: Flexible interview process tailored to your availability; we value authenticity and equal opportunities.
- Why this job: Join a collaborative team focused on continuous learning and making a real impact in retail.
- Qualifications: Experience in data analysis, strong SQL skills, and excellent storytelling abilities required.
The predicted salary is between 28800 - 43200 £ per year.
Are you ready to turn data into impactful narratives that drive business strategy?
At Retail Insight, we leverage data to power strategic decisions and deliver exceptional client results. We\'re innovative, collaborative, and always learning. We\'re looking for an experienced Insight Analyst to join our team and shape our analytical capabilities.
What you\'ll do:
- Analyse complex datasets using SQL to extract actionable insights.
- Create engaging dashboards and reports with Power BI and Excel .
- Collaborate with cross-functional teams to translate business goals into data-driven solutions.
- Present clear, compelling insights to clients and stakeholders.
- Continuously seek ways to enhance analysis processes and decision-making.
- Proven experience in data analysis, with excellent SQL skills - preferably in a Retail or CPG environment.
- Strong storytelling and presentation skills, with the ability to simplify complex data.
- Proficiency in Power BI and advanced Excel.
- Excellent communication and interpersonal skills to engage teams and clients.
- A proactive, problem-solving mindset focused on continuous improvement.
Some of our extras...
We believe in flexibility, growth, and taking care of our people—both in and out of the office.
Hybrid & Flexible Working:Work from anywhere with 2 days in-office per week (typical), plus summer hours and extra days off for life’s big moments (including your birthday and wedding).
Generous Time Off:26 days PTO (increasing with service), paid volunteer days, and full support for your wellbeing, including mental health resources.
Career & Learning:Access to a top-tier learning platform, career progression plans, and support to create your ideal home workspace.
Health & Financial Benefits:Comprehensive medical, dental, and vision coverage, plus a 6% matched retirement plan.
Personal Perks:Annual phone reimbursement, onsite gym access, and customizable benefits via our online platform.
Plus much more!
Our interview process typically involves 4 stages:
- Initial Call with the Recruiter
- Take Home Task (SQL)
- Technical Interview
- Final Stage interview
Our average process takes around 3-4 weeks\' but we will always work around your availability. You will have the chance to speak to our recrui ter at various points during your process but if you do have any specific questions ahead of this please contact us.
Be your authentic self - Retail Insight is committed to promoting equal opportunities in employment. All employees and any job applicants will receive equal treatment. We actively seek to create an environment where everyone feels respected, supported, and encouraged to contribute their best work.
About Us
We’re a unique blend of retail expertise built up from extensive industry experience; mathematical talent that builds and maintains sophisticated algorithms; and engineering skill that handles vast volumes of data regularly.
W e combine leading-edge technology with cutting-edge thinking, to help you tackle today’s mission-critical operational challenges and maximize your retail potential.
We focus on the factors that drive sales and profit performance, minimise waste and loss, and increase operational efficiency. The result: dynamic solutions that provide actionable insights and unparalleled time to value.
Our values underpin everything we do at Retail Insight. They drive us, define us and shape our decision-making. They’re also the reason the world’s largest retailers and CPGs find working with us so easy.
#J-18808-Ljbffr(REPLACEMENT) Insight Analyst II employer: Retail Insight Limited
At Retail Insight, we pride ourselves on being an exceptional employer that champions flexibility, growth, and employee wellbeing. Our innovative work culture fosters collaboration and continuous learning, while our generous benefits—including 26 days of PTO, hybrid working options, and comprehensive health coverage—ensure that our team members thrive both personally and professionally. Join us in a dynamic environment where your analytical skills will shape impactful narratives and drive strategic decisions for leading retailers.
StudySmarter Expert Advice🤫
We think this is how you could land (REPLACEMENT) Insight Analyst II
✨Get Involved in Data Communities
Join local data science meetups or online communities like Kaggle, where you can showcase your skills through competitions and collaborate with others. Being part of these groups not only boosts your visibility but also opens up potential placement opportunities!
✨Leverage University Career Services
Don’t forget to check in with your university’s career services! They often have exclusive placement opportunities, workshops, and networking events tailored for data science students that can help you land that sweet gig at Retail Insight Limited.
✨Show Off Your Projects
Create a public portfolio or blog where you can share your data science projects. This not only demonstrates your skills but also gives potential employers like Retail Insight Limited a taste of what you can do! Plus, it’s a great conversation starter in interviews.
✨Connect with Professionals on LinkedIn
Reach out to data science professionals on LinkedIn and ask for informational interviews. Get to know their journeys and share your interest in placements. This approach makes you memorable and could open doors to opportunities at places like Retail Insight Limited.
We think you need these skills to ace (REPLACEMENT) Insight Analyst II
Some tips for your application 🫡
Show off Your Data Skills:As a budding data scientist, we want to see your hands-on experience. Make sure your CV highlights any relevant projects you've worked on, especially those involving data analysis or machine learning. Include any programming languages you're proficient in, like Python or R, and don't forget to mention tools like TensorFlow or SQL that you’ve used!
Craft a Passionate Cover Letter:For a placement, your enthusiasm and eagerness to learn mean loads to us! In your cover letter, express what excites you about data science and how it aligns with your aspirations. Share specific examples of what you've learned so far – whether it's courses, personal projects, or even data challenges you've tackled!
Make Your Projects Pop:We love seeing practical examples of your work, so if you have a portfolio, now's the time to shine! Include detailed descriptions of your projects, the data sources you used, the challenges you faced, and what you achieved. If possible, share links to your GitHub or a personal website showcasing your work – it adds that extra touch!
Demonstrate Statistical Knowledge:Data science isn't just about coding; it's also about understanding the stats behind the algorithms. Be sure to highlight any coursework or relevant certifications you have in statistics or data analysis on your CV. It’ll show us you’ve got the theoretical background to complement your practical skills!
How to prepare for a job interview at Retail Insight Limited
✨Master Your Data Tools
For a data science placement, it's crucial to get comfy with tools like Python, R, or SQL. Brush up on libraries like Pandas and NumPy, as you might be thrown some technical questions during the interview that require real-time coding or problem-solving.
✨Showcase Your Projects
Bring along a portfolio of your data projects, especially if they're relevant to Retail Insight Limited. Whether it's a Kaggle competition or a personal project, showing off your practical work can really set you apart and demonstrate your hands-on experience.
✨Prepare for Case Studies
Interviews in data science often include case study questions. Be ready to walk through your thought process on how to approach a data problem, what analysis you'd do, and how you'd interpret the results. This shows your analytical thinking and understanding of data.
✨Express Your Enthusiasm
Since it's a placement, they're looking for potential and enthusiasm just as much as skills. Be sure to express why you're passionate about data science, how you're eager to learn, and why you want to join Retail Insight Limited specifically. Let your motivation shine through!
