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Advanced Data Analytics

Job in Belfast, County Antrim, BT1, Northern Ireland, UK
Listing for: Consultancy.uk
Part Time position
Listed on 2025-12-30
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Job Description & How to Apply Below

Job Overview

Advanced Data Analytics consultant role at PA Consulting in Belfast, United Kingdom. Full‑time, hybrid working a minimum of two days per week on client sites or office.

Responsibilities
  • Work with clients to translate business needs into advanced analytics solutions, applying data‑centric decision making.
  • Build, test, and deliver models across the full analytics lifecycle – problem formulation, exploratory data analysis, model design, build, testing and hand‑over.
  • Collaborate cross‑functionally with product, design and other data experts, using agile best practices.
  • Lead internal projects and deliver solutions that use advanced analytics, algorithm design data engineering, big data, cloud platforms and data visualisation.
  • Communicate findings to technical and non‑technical audiences.
Qualifications
  • Degree, Masters or PhD in data science, mathematics, operational research, physics or statistics.
  • Experience conducting evidence‑based analysis and building models for data‑centric decision making.
  • Strong communication skills – able to explain analytical approaches and results to technical and non‑technical audiences.
  • Proficiency with Python, SQL, Excel and data visualisation tools.
  • Experience with common data science tools – Python, PySpark, R, Power

    BI, Palantir Foundry, Data Bricks.
  • Affinity for problem solving and curiosity.>
  • Nice‑to‑have: stakeholder management, project management, consulting experience, experience developing analytical solutions across product lifecycle.
Tech Stack
  • Data Bricks, PySpark, Python, R, SQL, Excel, Palantir Foundry, Power

    BI, Azure, Databricks, Snowflake.
Benefits
  • Health and private healthcare perks.
  • 25 days annual leave plus a half day on Christmas Eve and optional additional days.
  • Generous pension scheme.
  • Community and charity initiatives.
  • Annual performance‑based bonus and share ownership.
  • Tax efficient benefits (cycle‑to‑work, give‑as‑you‑earn).
Application Process

Interview stages may change based on role. Typical process:

  • Quick call with a Tech Recruiter to discuss the role and PA.
  • Round 1: competency or technical interview (60 min).
  • Round 2: second competency or technical interview (60 min).
  • Final round: mini case study with a PA leader (60 min).
EEO & Diversity

We are committed to equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to race, gender, disability, religion or any other protected characteristics. We welcome applications from under‑represented groups. Adjustments or accommodations available; contact recruitm

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