Entry-Level Data Analyst

Entry-Level Data Analyst

Manchester Entry level 31000 - 42000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Analyse diverse data sets to guide business and product decisions.
  • Company: Join a pioneering tech company in Manchester, known for innovative data solutions.
  • Benefits: Enjoy remote work options, competitive salary, health insurance, and generous holiday allowance.
  • Why this job: Be part of a culture that promotes innovation, learning, and career growth in the tech industry.
  • Qualifications: Bachelor’s degree in a related field; proficiency in data analysis tools preferred.
  • Other info: Engage in exciting projects and stay updated with the latest industry trends.

The predicted salary is between 31000 - 42000 £ per year.

Location: Manchester, UK - Flexible & Remote Working Options Available

About Our Client:

Our client is a pioneering tech company located in the bustling heart of Manchester, renowned for its innovative approach to leveraging data to drive technological solutions for modern challenges. As they continue to break new ground and expand into exciting markets, they are in search of an Entry-Level Data Analyst. This role is a golden opportunity for those passionate about data's power to transform the tech landscape, offering the chance to work with advanced datasets and contribute to meaningful insights and product developments.

Role Overview:

The Entry-Level Data Analyst will be a vital component of our client's team, tasked with analyzing diverse data sets to guide business and product decisions. Tailored for recent graduates or individuals with some initial experience in data analytics, this position is a gateway to building a career within the fast-paced tech industry. The successful candidate will enjoy a culture that promotes innovation, learning, and professional growth.

Key Responsibilities:

  • Gather, process, and scrutinize data from various sources to ensure its accuracy and utility.
  • Perform in-depth data analysis to discover insights, identify trends, and recognize opportunities relevant to the tech sector.
  • Craft and maintain detailed reports and dashboards, presenting data findings to both technical and non-technical team members effectively.
  • Collaborate with product development and strategic planning teams, aligning data insights with overarching business objectives.
  • Engage in pioneering projects, applying data analytics to navigate complex challenges and propel product innovation.
  • Commit to continuous enhancement of data analytics skills, staying abreast of the latest industry tools and practices.

Desired Qualifications:

  • Bachelor’s degree in Computer Science, Data Science, Statistics, or a related technical discipline.
  • Solid foundation in data analysis, with a keen interest in specializing within the tech sector.
  • Proficiency in Excel; proficiency in SQL, Python, R, or other data analysis tools strongly preferred.
  • Awareness of the tech industry landscape, including its challenges and dynamics.
  • Exceptional problem-solving capabilities and meticulous attention to detail.
  • Strong communication skills, capable of simplifying complex data into digestible and actionable insights.

What Our Client Offers:

  • A competitive entry-level salary ranging from £37,000 to £42,000 per annum.
  • Extensive remote working options to support work-life balance.
  • An engaging and inclusive work environment within Manchester’s tech hub, offering abundant opportunities for networking, professional development, and career advancement.
  • An attractive benefits package, including top-tier health insurance, a comprehensive pension scheme, and a generous holiday allowance.
  • Exposure to leading-edge technology and a commitment to fostering your continuous learning and development in both data analytics and tech industry trends.

Join a team that's at the forefront of technological innovation, leveraging your analytical skills to contribute to our client's mission of shaping the future of technology.

Entry-Level Data Analyst employer: How to Job Ltd

Our client is an exceptional employer located in the vibrant tech hub of Manchester, offering a dynamic and inclusive work culture that prioritises innovation and professional growth. With extensive remote working options, a competitive salary, and a comprehensive benefits package, employees are empowered to thrive while contributing to cutting-edge projects that shape the future of technology. This entry-level role not only provides valuable exposure to advanced data analytics but also fosters continuous learning and career advancement in a rapidly evolving industry.
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Contact Detail:

How to Job Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Entry-Level Data Analyst

✨Tip Number 1

Familiarise yourself with the latest data analysis tools and technologies relevant to the tech industry. Being well-versed in SQL, Python, or R can set you apart from other candidates, so consider taking online courses or tutorials to boost your skills.

✨Tip Number 2

Network with professionals in the tech sector, especially those working in data analytics. Attend industry meetups, webinars, or workshops to make connections and learn about potential job openings that may not be advertised widely.

✨Tip Number 3

Showcase your analytical skills through personal projects or internships. Create a portfolio that highlights your ability to analyse data and derive insights, as this practical experience can significantly enhance your application.

✨Tip Number 4

Prepare for interviews by practising common data analysis scenarios and questions. Be ready to discuss how you've approached data problems in the past and how you can apply your skills to real-world challenges in the tech industry.

We think you need these skills to ace Entry-Level Data Analyst

Data Analysis
Proficiency in Excel
SQL
Python
R
Attention to Detail
Problem-Solving Skills
Communication Skills
Report Writing
Dashboard Creation
Collaboration
Understanding of Tech Industry Dynamics
Adaptability
Continuous Learning

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the job description. Emphasise any coursework, projects, or internships related to data analysis, especially those involving Excel, SQL, Python, or R.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and the tech industry. Mention specific reasons why you want to work for this pioneering tech company and how your background makes you a great fit for the role.

Showcase Your Analytical Skills: In your application, provide examples of how you've used data analysis in past projects or studies. Highlight any tools or methodologies you are familiar with, and explain how they can be applied to the role.

Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a data analyst role.

How to prepare for a job interview at How to Job Ltd

✨Know Your Data Tools

Familiarise yourself with the data analysis tools mentioned in the job description, such as Excel, SQL, Python, and R. Be prepared to discuss your experience with these tools and how you've used them in past projects or coursework.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex problems using data analysis. Think about specific instances where your insights led to actionable outcomes, and be ready to explain your thought process during the interview.

✨Understand the Tech Landscape

Research the current trends and challenges within the tech industry. Being able to discuss these topics will demonstrate your genuine interest in the field and show that you're proactive about staying informed.

✨Communicate Clearly

Practice simplifying complex data findings into clear, digestible insights. During the interview, focus on how you can convey technical information to non-technical team members, as this is a key part of the role.

Entry-Level Data Analyst
How to Job Ltd
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