Senior Data Consultant

Senior Data Consultant

Basildon Full-Time 43200 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Deliver client-facing analytics solutions and design data architectures.
  • Company: Join a leading consultancy transforming businesses through data insights with Microsoft technologies.
  • Benefits: Enjoy hybrid working, healthcare, pension, and life assurance perks.
  • Why this job: Be part of a collaborative culture that values client engagement and innovative data solutions.
  • Qualifications: 5+ years in Microsoft data platforms and customer-facing consulting roles required.
  • Other info: Occasional travel across the UK and Europe for client engagements.

The predicted salary is between 43200 - 72000 £ per year.

Senior Data & Analytics Consultant

HD-Tech is proud to be partnering with a leading data management and analytics consultancy that specialises in delivering transformative business insights using Microsoft technologies. With over 10 years of industry presence, our client is recognised for helping organisations optimise their use of data to drive smarter decisions and long-term value.

As they continue to scale their professional and managed services offerings, we’re now seeking a Data & Analytics Consultant to join their expanding consulting team.

About the Company

This organisation is deeply committed to helping businesses \”predict their future\” through better use of data, technology, people, and process. Their services include:

  • Managed Data Services
  • Database and Infrastructure Consultancy
  • Data Engineering & Analytics
  • Adoption and Change Management

Their reputation is built on strong consulting skills, deep expertise in Microsoft Data Services, and a highly collaborative culture. They place a premium on client engagement, commercial awareness, and internal collaboration to drive results.

Role Overview

As a Consultant, you will play a hands-on role in delivering client-facing analytics solutions. You’ll help define project scopes, design and implement data architectures, and deliver compelling data narratives. You’ll also be expected to identify additional client needs and work closely with internal teams to drive business opportunities.

This is a hybrid role, with occasional travel to client sites across the UK and Europe.

Key Responsibilities

  • Design, develop, and deliver data and analytics solutions using Microsoft technologies
  • Shape and scope projects to ensure timely and on-budget delivery
  • Support sales and project teams by identifying new client opportunities
  • Engage with stakeholders to gather requirements and define technical solutions
  • Recommend and design optimal analytics architectures
  • Develop robust data models using methodologies such as Kimble
  • Deliver impactful visualisations and insights using tools like Power BI
  • Promote user adoption, training, and change management initiatives
  • Ensure high standards of documentation and data security compliance

Technical Skills (desirable):

  • Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric)
  • Data warehousing and lakehouse design
  • ETL/ELT pipelines
  • SQL, Python for data manipulation and machine learning
  • Big Data frameworks (e.g., Hadoop, Spark)
  • Data visualisation (e.g., Power BI)
  • Understanding of statistical analysis and predictive modelling

Experience:

  • 5+ years working with Microsoft data platforms
  • 5+ years in a customer-facing consulting or professional services role
  • Strong understanding of data warehousing and BI principles
  • Skilled in data modelling, database design, and transformation processes
  • Confident communicator with strong stakeholder engagement skills
  • Agile delivery experience preferred

Benefits:

  • Hybrid working model – monthly onsite collaboration at a modern office in the Berkshire area
  • Comprehensive benefits including healthcare, pension, life assurance, and income protection

Senior Data Consultant employer: HD Tech Recruitment

At HD-Tech, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Senior Data Consultant, you will benefit from a hybrid working model, allowing for flexibility while engaging in meaningful projects that drive impactful business insights. With comprehensive benefits and a commitment to professional growth, this is an excellent opportunity to join a leading consultancy that values your expertise and contributions.
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Contact Detail:

HD Tech Recruitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Consultant

✨Tip Number 1

Familiarise yourself with Microsoft technologies, especially Azure Data Services, as they are crucial for this role. Consider taking online courses or certifications to demonstrate your expertise and commitment to potential employers.

✨Tip Number 2

Network with professionals in the data consultancy field, particularly those who work with Microsoft platforms. Attend industry events or join relevant online communities to build connections that could lead to job opportunities.

✨Tip Number 3

Showcase your experience in delivering client-facing analytics solutions by preparing case studies or examples of past projects. Be ready to discuss how you shaped project scopes and engaged with stakeholders during interviews.

✨Tip Number 4

Stay updated on the latest trends in data analytics and visualisation tools like Power BI. Being knowledgeable about current best practices will not only help you in interviews but also demonstrate your passion for the field.

We think you need these skills to ace Senior Data Consultant

Microsoft Azure Data Services
Data Warehousing Design
ETL/ELT Pipeline Development
SQL
Python for Data Manipulation
Big Data Frameworks (Hadoop, Spark)
Data Visualisation (Power BI)
Statistical Analysis
Predictive Modelling
Data Modelling
Database Design
Transformation Processes
Stakeholder Engagement
Agile Delivery Experience
Project Scoping and Management

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data management and analytics, particularly with Microsoft technologies. Emphasise your consulting skills and any specific projects that align with the job description.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and your understanding of the company's mission. Mention how your skills can help them deliver transformative business insights and drive client engagement.

Highlight Technical Skills: In your application, clearly outline your technical skills related to Microsoft Azure Data Services, data warehousing, and data visualisation tools like Power BI. Provide examples of how you've used these skills in previous roles.

Showcase Soft Skills: Since this role involves stakeholder engagement and collaboration, make sure to highlight your communication skills and experience working in a team environment. Provide examples of how you've successfully managed client relationships.

How to prepare for a job interview at HD Tech Recruitment

✨Showcase Your Technical Skills

Make sure to highlight your experience with Microsoft Azure Data Services and other relevant technologies during the interview. Be prepared to discuss specific projects where you've successfully implemented data solutions, as this will demonstrate your hands-on expertise.

✨Understand the Company’s Values

Research the consultancy's commitment to client engagement and collaboration. During the interview, express how your personal values align with theirs, and provide examples of how you've fostered strong relationships in previous roles.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities and how you handle client interactions. Prepare scenarios where you've defined project scopes or identified additional client needs, showcasing your analytical thinking and proactive approach.

✨Demonstrate Your Communication Skills

As a consultant, effective communication is key. Practice articulating complex data concepts in a clear and engaging manner. Be ready to explain how you've delivered impactful visualisations and insights to stakeholders in the past.

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