Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Help companies centralize their data using an ETL-driven decision intelligence platform.
- Company: Join a fast-growing data and analytics platform transforming how businesses manage their data.
- Benefits: Enjoy a hybrid work model with office days on Tuesday and Thursday.
- Why this job: Be part of a dynamic team focused on data engineering, analytics, and cloud technologies.
- Qualifications: Strong SQL skills and experience with cloud data warehouses like Snowflake or BigQuery required.
- Other info: Opportunity to work with machine learning tools and deliver impactful data insights.
The predicted salary is between 55000 - 75000 £ per year.
Senior Data Consultant
Up to £95k (Dependent upon experience)
Central London (Hybrid)
A private equity firm is looking for a senior data consultant to work on profitability strategies
THE COMPANY
This private equity firm works with various companies and improves their profitability over time through investment. They are looking for a senior data consultant to identify opportunities for improving the profitability of these companies.
ROLE
In this role, you will:
- Build and deploy statistical models.
- Build pipelines, data analysis and reporting, visualisation.
- Run a pricing strategy project.
- Make strategic recommendations.
SKILLS & EXPERIENCE:
- At least 3-5 years data analysis experience
- Need to be extremely proficient in SQL and Python
- Experience with data visualisations and modeling
- Interested in or keen to learn data science
- Experience working in a strategy consultancy
BENEFITS
The successful candidate will receive a salary up to £95k
JOB PROCESS
The interview process consists of up to three stages
HOW TO APPLY
Please register your interest by sending your resume/CV to Chloe Pott via the Apply link on this page.
Senior Data Consultant employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Consultant
✨Tip Number 1
Familiarize yourself with the specific tools mentioned in the job description, such as SQL, dbt, and cloud data warehouses like Snowflake or BigQuery. Having hands-on experience or projects showcasing your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Highlight any previous experience you have with financial data metrics like revenue, retention, and churn. Be prepared to discuss how you've used these metrics to drive business decisions in past roles during your interview.
✨Tip Number 3
Showcase your ability to integrate diverse data sources by preparing examples of past projects where you successfully combined different datasets. This will demonstrate your capability to create a single source of truth for clients.
✨Tip Number 4
Since the role emphasizes collaboration, be ready to discuss your teamwork experiences, especially in data modeling projects. Highlight how you’ve worked with cross-functional teams to deliver actionable insights and improve data processes.
We think you need these skills to ace Senior Data Consultant
Some tips for your application 🫡
Understand the Company: Take some time to research the fast-growing data and analytics platform. Familiarize yourself with their mission, values, and the specific industries they serve. This will help you tailor your application to align with their goals.
Highlight Relevant Skills: Make sure to emphasize your strong proficiency in SQL and experience with cloud data warehouses like Snowflake, BigQuery, or Redshift. Mention any experience with dbt and Python, especially if you've worked on automating data processes or integrating APIs.
Showcase Your Experience: In your CV and cover letter, provide concrete examples of past projects where you built scalable data pipelines or delivered end-to-end data modeling projects. Highlight your ability to work with financial metrics and how you've used data to drive business decisions.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for data engineering and analytics. Explain why you're excited about the opportunity to help clients centralize their data and make informed decisions.
How to prepare for a job interview at Harnham
✨Showcase Your SQL Skills
Since strong proficiency in SQL is essential for this role, be prepared to discuss your experience with complex queries and optimizing performance. You might even be asked to solve a SQL problem on the spot, so practice writing queries beforehand.
✨Demonstrate Your Experience with Cloud Data Warehouses
Familiarity with platforms like Snowflake, BigQuery, or Redshift is crucial. Be ready to share specific examples of how you've built scalable data pipelines and ensured data quality in these environments.
✨Highlight Your Knowledge of Financial Metrics
Understanding key financial metrics is important for this position. Prepare to discuss how you've worked with metrics like revenue, retention, and customer lifetime value, and how you've used them to drive business decisions.
✨Prepare for Technical Questions on Data Integration
You may be asked about your experience integrating diverse data sources. Think of examples where you successfully combined financial, operational, and customer data to create a unified view for reporting and analysis.
