DATA CONSULTANT

DATA CONSULTANT

Entry level 28000 - 35000 € / year (est.) No home office possible
Reply, Inc.

At a Glance

  • Tasks: Join a team of data specialists to design and deliver innovative data solutions.
  • Company: Affinity Reply, a leading UK-based architecture consultancy focused on IT/business alignment.
  • Benefits: Competitive salary, professional growth opportunities, and a collaborative work environment.
  • Other info: Diverse and inclusive workplace committed to equal opportunities for all.
  • Why this job: Make a real impact in the evolving data landscape while supporting top financial services clients.
  • Qualifications: Experience in data analysis, SQL, and stakeholder engagement is preferred.

The predicted salary is between 28000 - 35000 € per year.

Affinity Reply is a leading UK-based architecture consultancy focused exclusively on optimising IT/business alignment, and minimising the cost of business and technology change. We distinguish ourselves by fostering trusted client relationships, ensuring successful outcomes through our proactive and insightful approach. To meet growing demand, we are looking for motivated and curious graduates who want to build a career in consulting, technology, and digital transformation.

As a Data Consultant at Affinity Reply, you will join a team of data specialists focused on designing and delivering data solutions while supporting your professional growth and development. You will support leading financial services clients in building strong data foundations to maximise value while ensuring data is protected and managed in a compliant manner. Working as part of a collaborative team, you will contribute to strategic data projects through stakeholder engagement, data analysis, SQL development, and the creation of key data management artefacts. This role offers the opportunity to be part of a forward-thinking consultancy, providing strong career development within a dynamic and evolving data landscape.

Responsibilities:

  • Support engagements with leading financial services clients, applying knowledge of industry processes and regulatory requirements
  • Engage with stakeholders to understand business needs and uncover data-related issues
  • Assist in the delivery of strategic data projects across a range of client initiatives
  • Perform data analysis to identify insights, issues, and opportunities
  • Develop and work with SQL to support data analysis and solution delivery
  • Contribute to the creation of data management artefacts, including data glossaries
  • Support the definition and implementation of data quality rules
  • Assist in documenting data lineage and improving overall data understanding

About the Candidate:

  • Experience gathering business requirements and translating them into technical data requirements
  • Ability to work with business and technical stakeholders to identify data issues and impacts
  • Strong hands-on data analysis, including source-to-target mapping and migration documentation
  • Experience documenting data flows, lineage, and creating data artefacts (glossaries, dictionaries)
  • Ability to define and document data quality rules and standards
  • Proficiency in SQL for data querying, validation, and analysis
  • Experience creating reports and visualisations for business metrics and KPIs
  • Familiarity with transformation frameworks (e.g. dbt, SQL Mesh) and cloud platforms (e.g. Snowflake, Synapse, Fabric, BigQuery, Redshift)
  • Strong communication skills, with experience documenting insights and supporting stakeholder engagement

The following are advantageous: Python and unit testing; data governance frameworks; Snowflake and related technologies; data strategy and maturity assessments; data modelling; and knowledge of financial services regulations.

Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.

DATA CONSULTANT employer: Reply, Inc.

Affinity Reply is an exceptional employer that prioritises the professional growth of its employees within a collaborative and innovative work culture. As a Data Consultant, you will have the opportunity to engage with leading financial services clients, contributing to impactful data projects while benefiting from strong career development in a dynamic environment. With a commitment to diversity and equal opportunities, Affinity Reply fosters a supportive atmosphere where your contributions are valued and your career aspirations can flourish.

Reply, Inc.

Contact Detail:

Reply, Inc. Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land DATA CONSULTANT

Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Prepare for interviews by researching the company and its projects. Show genuine interest in their work and be ready to discuss how your skills can help them achieve their goals.

Tip Number 3

Practice your data analysis skills and SQL queries. Be ready to demonstrate your technical abilities during interviews, as this will set you apart from other candidates.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace DATA CONSULTANT

Data Analysis
SQL Development
Stakeholder Engagement
Data Management Artefacts Creation
Data Quality Rules Definition
Data Lineage Documentation
Business Requirements Gathering

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Consultant role. Highlight relevant experience, especially in data analysis and SQL development. We want to see how your skills align with what we’re looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data consulting and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!

Showcase Your Skills:Don’t forget to showcase your technical skills, especially in SQL and data management. If you’ve worked with any cloud platforms or transformation frameworks, make sure to mention them. We’re keen on seeing your hands-on experience!

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you into our system quickly. Plus, it shows you’re serious about joining our team!

How to prepare for a job interview at Reply, Inc.

Know Your Data Inside Out

Before the interview, brush up on your data analysis skills and be ready to discuss your experience with SQL. Be prepared to share specific examples of how you've gathered business requirements and translated them into technical data needs.

Engage with Stakeholders

Show that you understand the importance of stakeholder engagement. Think of instances where you've successfully communicated with both business and technical teams to identify data issues. This will demonstrate your collaborative spirit and problem-solving abilities.

Familiarise Yourself with Industry Standards

Since you'll be working with financial services clients, it’s crucial to have a grasp of industry processes and regulatory requirements. Research common data governance frameworks and be ready to discuss how they apply to the role.

Prepare for Practical Scenarios

Expect to tackle practical scenarios during the interview. Practice explaining how you would approach data quality rules or document data lineage. This will showcase your analytical thinking and hands-on experience in real-world situations.