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- Tasks: Join us as a Data Analytics Consultant, delivering impactful ML and analytics solutions to clients.
- Company: BlueOptima is a global leader in optimising software engineering performance with innovative metrics.
- Benefits: Enjoy hybrid working, 32 days holiday, top-notch equipment, and generous parental leave.
- Why this job: Be part of a creative team that values your growth and success in a high-performance culture.
- Qualifications: 1-2 years in data science or analytics; skilled in Python, BI tools, and stakeholder communication.
- Other info: Work in a diverse environment with opportunities for rapid career advancement.
The predicted salary is between 28800 - 48000 £ per year.
Company Description
BlueOptima’s vision is to become the global reference for the optimisation of the performance of Software Engineers across all industries.
Company Description
BlueOptima’s vision is to become the global reference for the optimisation of the performance of Software Engineers across all industries.
We provide industry-leading objective metrics in software development. We enable large organisations to deliver better software, faster and at lower cost, with technology that pushes the limits of what has been done before.
We currently are located in 4 countries: London (our HQ), Mexico, India, and US. A total number of 110+ employees from different nationalities and with over 25 languages spoken. We promote an open minded environment and encourage our employees to create their own success story in this high performance environment.
Location: London, United Kingdom
Department: Professional Services
Job Description
Job summary: We are seeking a Professional Services Consultant to join our consulting practice. This role blends technical depth with strategic consulting, enabling our clients to unlock value from their data by delivering scalable, production-ready ML and analytics solutions.
You will build and deliver machine learning and data-driven solutions that create measurable business impact for our enterprise clients. As a trusted advisor, you will play an active role not just in delivery, but also in scoping engagements, supporting proposals and SOWs, and contributing to go-to-market activities. Your technical skills in Python, machine learning, and data engineering will be matched by your ability to consult, influence, and communicate clearly with stakeholders.
This role is ideal for candidates who thrive at the intersection of technical delivery and client consulting in a fast-paced, high-expectation environment.
Your team:
You will be part of the Professional Services team within our Engineering division, a group of hands-on consultants and technical experts who deliver scalable, production-ready data and machine learning solutions to our clients.
Responsibilities and tasks:
- Understand the client requirements and provide strong recommendations for delivering value in a structured way.
- Lead the presentation to the client, clearly articulate the value of the deliverables and explain the suggested approach.
- Support the translation of customer proposals into clear, scoped Statements of Work under guidance, ensuring alignment with customer needs.
- Validates datasets, calculates KPI’s, supports data acquisition, and generates reports.
- Automates data collection from internal sources and analyzes patterns across data sets.
- Deep-dive data quality checks.
- Design reporting and validate the solution with client stakeholders
- Owns and is accountable for the quality and delivery of their work.
- Provides enterprise level analysis on the BlueOptima data set to inform workforce strategies and strategic planning for the development organization to drive cost savings, operational efficiencies, and productivity improvement.
- Deliver research articles and blogs to support strategic initiatives.
- Drive revenue growth by identifying and executing upsell opportunities within own active customer engagements.
Qualifications
Computer Science, Software Engineering and basic finance knowledge.
What You Need to Succeed at BlueOptima:
- You bring 1-2 years of hands-on experience delivering data science, machine learning, or analytics solutions in a professional or enterprise setting.
- Skilled in stakeholder communication, especially in presenting findings and model results in a clear, tailored format to internal and external stakeholders, aligning with business objectives.
- Skilled in generating and delivering executive-ready presentations that translate technical insights into clear business value for C-suite stakeholders and decision-makers.
- Experienced in using BI tools such as Tableau or Microsoft Power BI.
- Proficient in Python with strong experience in libraries such as pandas, scikit-learn, and xgboost, and writing clean, modular, and reusable code.
- Experienced in deploying Python scripts and ML workloads.
- Familiarity with SQL, including writing complex queries with Common Table Expressions (CTEs), and performance-aware joins across large-scale datasets.
- Comfortable operating in client-facing, consulting-style environments, where ambiguity is common and solutions must balance rigor with speed and impact.
Good to have:
- Understanding of software engineering fundamentals, including:
- SDLC methodologies (Agile, Scrum, or Waterfall)
- CI/CD workflows for deploying analytics or ML solutions
- Use of Version Control Systems (e.g., Git, GitHub) for collaborative development
Your career progression: In BlueOptima, we strive to strengthen your skills, widen your scope of work and develop your career fast. In this role, you’ll have the opportunity to grow as a senior individual contributor by leading client engagements that deliver increasing strategic value.
Additional Information
Why join our team?
Culture and Growth:
- Global team with a creative, innovative and welcoming mindset.
- Rapid career growth and opportunity to be an outstanding and visible contributor to the company\’s success.
- Freedom to create your own success story in a high performance environment.
- Training programs and Personal Development Plans for each employee
Benefits:
- 32 days of holidays (including 8 bank holidays)
- Annual Leave Purchase
- Hybrid working – 2 days remote and 3 days in the office each week
- Flexible Work from Long Distance – 4 weeks a year
- Top of the line equipment (i.e. laptop, headset, desk gaming monitor)
- Office in Elephant and Castle with free drinks and snacks
- Cycle-to-work scheme
- 12 Weeks Paid Maternity and Paternity Leave
- Pet friendly office
- Salary – Base – £42K – £47K Annually
Stay connected with us on LinkedIn or keep an eye on our career page for future opportunities!
Seniority level
-
Seniority level
Associate
Employment type
-
Employment type
Full-time
Job function
-
Industries
Software Development
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Data Analytics Consultant employer: BlueOptima
Contact Detail:
BlueOptima Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Consultant
✨Tip Number 1
Familiarise yourself with BlueOptima's core values and mission. Understanding their vision to optimise software performance will help you align your responses during interviews, showcasing how your skills can contribute to their goals.
✨Tip Number 2
Brush up on your presentation skills. Since the role involves presenting findings to clients, practice articulating complex data insights in a clear and engaging manner. Tailor your examples to demonstrate how you've effectively communicated technical information to non-technical stakeholders.
✨Tip Number 3
Network with current or former employees of BlueOptima on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which can be beneficial during your interview process.
✨Tip Number 4
Prepare to discuss your experience with BI tools and Python libraries in detail. Be ready to share specific projects where you've used these technologies to drive business value, as this will demonstrate your hands-on experience and problem-solving abilities.
We think you need these skills to ace Data Analytics Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, machine learning, and Python programming. Use specific examples that demonstrate your ability to deliver data-driven solutions and communicate effectively with stakeholders.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at BlueOptima and explain how your skills align with their vision. Mention your experience in consulting environments and your ability to translate technical insights into business value.
Showcase Technical Skills: Clearly outline your proficiency in Python, SQL, and BI tools like Tableau or Power BI. Provide examples of projects where you have successfully deployed machine learning models or automated data collection processes.
Prepare for Interviews: Be ready to discuss your previous projects in detail, especially those involving stakeholder communication and presenting findings. Practice articulating complex technical concepts in a way that is accessible to non-technical audiences.
How to prepare for a job interview at BlueOptima
✨Understand the Role and Company
Before the interview, make sure you thoroughly understand BlueOptima's vision and the specifics of the Data Analytics Consultant role. Familiarise yourself with their products and how they optimise software performance, as this will help you align your answers with their goals.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, machine learning, and data engineering. Bring examples of past projects where you've successfully delivered data-driven solutions, and be ready to explain your thought process and the impact of your work.
✨Communicate Clearly with Stakeholders
Since the role involves consulting and presenting to clients, practice articulating complex technical concepts in a way that is easy for non-technical stakeholders to understand. Use clear examples to demonstrate how your insights can drive business value.
✨Prepare for Client-Facing Scenarios
Expect questions about how you would handle client interactions, especially in ambiguous situations. Think of examples from your past experiences where you successfully navigated challenges while maintaining strong client relationships.
