Data Analyst, Data Engineer, SQL, Databricks, Home Based
Data Analyst, Data Engineer, SQL, Databricks, Home Based

Data Analyst, Data Engineer, SQL, Databricks, Home Based

Leicester Full-Time 34000 - 50000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse data, generate reports, and support decision-making across the organisation.
  • Company: Join Blacklist Ratings, an expanding SaaS product company focused on data analytics.
  • Benefits: Enjoy a competitive salary of £40,000 - £50,000 plus benefits, with remote work flexibility.
  • Why this job: Be part of a growing team that values data-driven solutions and offers hands-on experience.
  • Qualifications: Proficient in SQL, Python, and data analytics; client-facing experience is a plus.
  • Other info: Work from home with one office day per month in Nottingham.

The predicted salary is between 34000 - 50000 £ per year.

Data Analyst, £ 40000 – 50000 + benefits. SQL, ETL, Databricks Python. Home Based with one day a month at the office in Nottingham.

Expanding SaaS product company are looking for a Senior Data Analyst as they continue to grow. In this hands-on role you will join a team analysing data, generating insightful reports and supporting decision making across the organisation. Proficient in data management and reporting you will have an eye for detail and strong analytical abilities. Working across the business you will deliver data driven solutions that improve efficiency and performance.

It will be an advantage for this role if you have worked in client facing positon at some point in your career (eg technical support, helpdesk, a role that involves working directly with customers, etc, etc)

Responsibilities Include –

  • Gather and interpret data from various sources.
  • Perform detailed data analysis.
  • Ensure data requirements are always considered.
  • Help develop, design and deliver regular and ad hoc reports and dashboards to visualise key metrics and insights for different departments.
  • Translate complex data into compelling reports.
  • Work with the data team to ensure work is accurate and accessible.

Skills Required Include –

  • Commercial background in data analytics\’s.
  • Ability to deliver value through insights, reporting and analysis.
  • Good knowledge of SQL to retrieve, manipulate and filter data.
  • Experience building interactive dashboards.
  • Knowledge of statistics and probability.
  • Knowledge of Looker an advantage.
  • Technical skills to include a combination of Python, Databricks, SQL, ETL and ideally you will have worked in a SaaS environment.

This is an excellent opportunity to join a company as it continues to grow and expand its data team. Good hands-on skills are mandatory for this role.

This role is home based with one day a month at their office in Nottingham. Salary is in the range £ 40000 – 50000 + benefits. If you have the required skills and experience please send your CV for a full brief.

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Data Analyst, Data Engineer, SQL, Databricks, Home Based employer: Blacklist Ratings

Blacklist Ratings is an excellent employer for those seeking a dynamic and rewarding career in data analytics. With a flexible home-based working model complemented by monthly office interactions in Nottingham, employees enjoy a supportive work culture that fosters collaboration and innovation. The company prioritises professional growth, offering opportunities to develop technical skills in a rapidly expanding SaaS environment, making it an ideal place for ambitious individuals looking to make a meaningful impact.
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Contact Detail:

Blacklist Ratings Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst, Data Engineer, SQL, Databricks, Home Based

✨Tip Number 1

Familiarise yourself with SQL and Databricks, as these are key skills for the role. Consider working on personal projects or contributing to open-source projects that utilise these technologies to showcase your practical experience.

✨Tip Number 2

Highlight any experience you have in client-facing roles, even if it's not directly related to data analysis. This can demonstrate your ability to communicate complex data insights effectively to non-technical stakeholders.

✨Tip Number 3

Prepare to discuss specific examples of how you've used data to drive decision-making in previous roles. Be ready to explain the impact of your analyses and how they improved efficiency or performance.

✨Tip Number 4

Network with professionals in the data analytics field, especially those who work in SaaS environments. Engaging with industry peers can provide valuable insights and potentially lead to referrals for the position.

We think you need these skills to ace Data Analyst, Data Engineer, SQL, Databricks, Home Based

Data Analysis
SQL
Python
Databricks
ETL
Dashboard Development
Statistical Knowledge
Attention to Detail
Data Management
Reporting Skills
Client-Facing Experience
Problem-Solving Skills
Communication Skills
Ability to Translate Complex Data

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, SQL, and any familiarity with Databricks. Use specific examples to demonstrate your analytical skills and how you've delivered insights in previous roles.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your hands-on experience with data management and reporting, and how you can contribute to improving efficiency and performance at Blacklist Ratings.

Showcase Technical Skills: Clearly outline your technical skills in SQL, Python, and ETL processes. If you have experience with Looker or building interactive dashboards, be sure to include that as well, as it will strengthen your application.

Highlight Client-Facing Experience: If you have worked in client-facing roles, mention this in your application. Explain how this experience has equipped you with the ability to communicate complex data insights effectively to non-technical stakeholders.

How to prepare for a job interview at Blacklist Ratings

✨Showcase Your Technical Skills

Make sure to highlight your proficiency in SQL, Python, and Databricks during the interview. Be prepared to discuss specific projects where you've used these tools to analyse data or build dashboards.

✨Prepare for Data Interpretation Questions

Expect questions that assess your ability to gather and interpret data from various sources. Practice explaining how you would approach a data analysis task and the steps you would take to ensure accuracy.

✨Demonstrate Client-Facing Experience

If you have experience in client-facing roles, be ready to discuss how this has shaped your analytical skills. Share examples of how you've communicated complex data insights to non-technical stakeholders.

✨Emphasise Attention to Detail

Given the importance of accuracy in data analysis, be sure to convey your attention to detail. You might want to share instances where your meticulousness led to significant improvements in reporting or decision-making.

Data Analyst, Data Engineer, SQL, Databricks, Home Based
Blacklist Ratings

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