At a Glance
- Tasks: Transform data into clear reports and actionable insights for various business functions.
- Company: Join a dynamic company focused on data-driven decision making.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and continuous learning.
- Why this job: Use your analytical skills to drive real change and improve business performance.
- Qualifications: Experience in data analysis and strong numerical skills are preferred.
The predicted salary is between 31500 - 38500 £ per year.
Descrizione del ruolo
Il Data Analyst supporterà le diverse funzioni aziendali trasformando dati e informazioni provenienti da più fonti in report chiari, analisi utili e indicazioni concrete.
La risorsa si occuperà di analizzare dati operativi, commerciali e relativi ai clienti, verificandone l’accuratezza e individuando trend, anomalie e possibili aree di miglioramento.
Il ruolo prevede inoltre la collaborazione con i team interni nella definizione delle esigenze di reporting e nello sviluppo di dashboard e strumenti utili al monitoraggio delle attività aziendali.
- Tra Le Principali Responsabilità Rientrano
- Raccogliere e consolidare dati provenienti da sistemi interni e diverse fonti aziendali.
- Verificare la qualità dei dataset, individuando dati mancanti, incoerenze e possibili errori.
- Preparare report periodici e riepiloghi delle performance aziendali.
- Analizzare dati operativi, commerciali e relativi alla clientela.
- Individuare trend, pattern e possibili opportunità di miglioramento.
- Supportare la creazione e l’aggiornamento di dashboard e strumenti di reporting.
- Monitorare i principali KPI e segnalare variazioni significative rispetto agli obiettivi.
- Collaborare con i diversi reparti per comprendere le necessità di analisi e reportistica.
- Documentare le fonti dei dati, i processi di reporting e le metodologie utilizzate.
- Presentare risultati e raccomandazioni in modo chiaro anche a interlocutori non tecnici.
La posizione è adatta a una persona curiosa, organizzata e interessata a utilizzare i dati per risolvere problemi aziendali.
Il candidato ideale dovrà essere in grado di gestire più attività analitiche contemporaneamente e comunicare i risultati in modo efficace a colleghi con differenti livelli di competenza tecnica.
- Requisiti
- Esperienza precedente in data analysis, business reporting, operations analysis o ambiti affini costituisce un vantaggio
- Buone capacità numeriche e attitudine a individuare le informazioni più rilevanti all’interno di dataset complessi
- Buona conoscenza di Microsoft Excel, incluse formule, tabelle pivot e strumenti di controllo dei dati
- Conoscenza di SQL e dei database relazionali costituisce un vantaggio
- Familiarità con strumenti di visualizzazione e reporting come Power BI, Tableau o Looker
- Capacità di pulire, organizzare e strutturare dati provenienti da fonti differenti
- Buona comprensione dei KPI aziendali e dei principali indicatori di performance
- Capacità di spiegare risultati e analisi a interlocutori non tecnici
- Precisione e attenzione alla qualità e all’affidabilità dei dati
- Capacità di rispettare scadenze e gestire più progetti contemporaneamente
- Laurea in Matematica, Statistica, Economia, Economia Aziendale, Informatica o discipline affini costituisce un vantaggio
- Ottima conoscenza della lingua inglese
- #J-18808-Ljbffr
Data Analyst in Manchester employer: HireMap
As an Account Manager at our company, you will thrive in a dynamic and supportive work environment that prioritises employee growth and development. We offer competitive benefits, a collaborative culture, and opportunities for professional advancement, all while being located in a vibrant area that fosters creativity and innovation. Join us to make a meaningful impact while enjoying a fulfilling career with a team that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Manchester
✨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 HireMap!
✨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 Data Analyst at HireMap.
✨Leverage Professional Networks
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 HireMap.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at HireMap, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst in Manchester
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 HireMap, 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 HireMap. 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 HireMap
✨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 HireMap!
✨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.
