Senior Data Analyst in Manchester

Senior Data Analyst in Manchester

Manchester Full-Time 60000 - 75000 £ / year (est.) Home office (partial)
Qodea

At a Glance

  • Tasks: Analyse data and solve complex challenges using cutting-edge cloud technology.
  • Company: Join Beyond, a global tech group at the forefront of innovation.
  • Benefits: Enjoy competitive salary, flexible hours, and 36 days annual leave.
  • Other info: Diverse and inclusive environment with excellent growth opportunities.
  • Why this job: Make a real impact by solving problems that define your career.
  • Qualifications: Experience in Data Analytics and proficiency with Looker Enterprise required.

The predicted salary is between 60000 - 75000 £ per year.

Elevate your career at Beyond, where innovation isn't just a buzzword, it's in our DNA. We are a global technology group built for what's next, offering high calibre professionals the platform for high‑stakes work, the kind of work that defines an entire career. When you join us, you're not just taking on projects – you're solving problems that don't even have answers yet. You will join the exclusive roster of talent that global leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover, turn to when deadlines seem impossible, when others have already tried and failed, and when the solution absolutely has to work. Forget routine consultancy. You will operate where technology, design, and human behaviour meet to deliver tangible outcomes, fast. This is work that leaves a mark – work you'll be proud to tell your friends about. Beyond is built for what's next. An environment where your skills will evolve at the frontier of innovation and AI, ensuring continuous growth and development.

We look for people who embody:

  • Innovation to solve the hardest problems.
  • Accountability for every result.
  • Integrity always.
  • Work where work matters.

About The Role

Serve as a Senior Data Analyst, leveraging cloud technology skills in a dynamic and evolving consulting environment. Solve complex customer‑facing challenges, helping diverse organisations to create and modernise data analytics platforms as they move to the cloud. Analyse and define project requirements, and manage the end‑to‑end execution process. Liaise with multiple stakeholders daily to ensure the timely delivery of appropriate outputs in accordance with project plans and deadlines. Investigate and utilise a wide variety of new and available technologies and software.

What You'll Do

  • Use your significant experience of working with Looker Enterprise to analyse and define project requirements, and manage the end‑to‑end execution process of migrating their current reporting suite to Looker Enterprise.
  • Deepen your understanding of the Looker BI Suite and BigQuery, as well as surrounding GCP concepts such as IAM roles, Logging and Monitoring.
  • Understand customer business requirements and advise the best way to fulfil these with the data and tools available.
  • Investigate data necessary to achieve desired business outcomes.
  • Concisely and thoroughly document processes relating to customer data requirements.
  • Provide training and pair‑programming sessions for clients to upskill them in using Looker and associated GCP services.
  • Develop internal tooling, and improve processes, for the wider data analytics team and Beyond business.

Requirements

  • Significant professional experience working in a Data Analytics role, ideally in a customer‑facing consultancy role.
  • Professional hands‑on experience working with Looker Enterprise (including instance management, LookML development, user access set‑up and building visualisations) and Looker Studio (Looker Studio Pro experience is desirable).
  • Strong data processing experience and understanding of developing against common database technologies (such as MS SQL, PostgreSQL, MySQL, etc).
  • Understanding of developing visualisations and reports using BI solutions (such as Looker, Google Data Studio, Tableau, PowerBI, etc).
  • Comprehensive problem‑solving skills and proven ability to apply creative and innovative thinking, identify and support the resolution of data quality and integrity issues.
  • Confident in presenting findings in an effective, structured and actionable way to a wide set of audiences with varying levels of understanding.
  • Excellent planning, prioritisation, organisational and time‑management skills, being able to work both as part of a team and independently, and delegate tasks to team members where appropriate.
  • Ability to meet regular and ad‑hoc deadlines, working under project plans and deadlines.

Benefits

  • Compensation and Financial Wellbeing
    • Competitive base salary
    • Matching pension scheme (up to 5%) from day one
    • Discretionary company bonus scheme
    • 4 × annual salary Death in Service coverage from day one
    • Employee referral scheme
    • Tech Scheme
  • Health and Wellness
    • Private medical insurance from day one
    • Optical and dental cash‑back scheme
    • Help@Hand app: access to remote GPs, second opinions, mental health support, and physiotherapy
    • EAP service
    • Cycle to Work scheme
  • Work‑Life Balance and Growth
    • 36 days annual leave (inclusive of bank holidays)
    • An extra paid day off for your birthday
    • Ten paid learning days per year
    • Flexible working hours
    • Market‑leading parental leave
    • Sabbatical leave (after five years)
    • Work from anywhere (up to 3 weeks per year)
    • Industry‑recognised training and certifications
    • Bonusly employee recognition and rewards platform
    • Clear opportunities for career development
    • Length of Service Awards
    • Regular company events
  • Diversity and Inclusion
  • At Beyond, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability, or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all.

Senior Data Analyst in Manchester employer: Qodea

At Beyond, we pride ourselves on being an exceptional employer that fosters innovation and personal growth in a dynamic consulting environment. With a commitment to work-life balance, competitive benefits, and a culture that champions diversity and inclusion, our employees are empowered to tackle complex challenges while continuously developing their skills at the forefront of technology and AI. Join us to make a meaningful impact and be part of a team that values integrity, accountability, and creativity.

Qodea

Contact Details:

Qodea Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Analyst in Manchester

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Apply Directly through Our Website

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We think you need these skills to ace Senior Data Analyst in Manchester

Looker Enterprise
LookML Development
Data Analytics
BigQuery
GCP Concepts
Data Processing
BI Solutions

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Qodea, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Qodea. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Qodea

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Qodea!

Prepare for Case Studies

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