Data Analyst - Jackson Hogg

Careers

Data Analyst

Job ID: 12025

  • Permanent
  • North East
  • Permanent
  • North East

Hours – Monday to Friday (40 Hours)
Location – Newcastle Upon Tyne – Onsite primarily with flexibility.

Position Overview:

We are seeking a skilled Data Analyst to contribute to our clients engineering projects by executing comprehensive data analysis processes. Working closely with project teams, you will optimize outputs to meet project requirements.

Your responsibilities will include implementing automation techniques to enhance productivity, applying predictive analytics and machine learning to solve complex engineering problems, and utilizing geospatial and structural understanding to support project optimization.

Additionally, you will develop user-friendly applications for data exploration, produce technical documentation for quality assurance, and communicate findings effectively through data visualization.

The ideal candidate will possess strong technical skills, including proficiency in Python/C++ and experience in industry sectors such as Utilities, Nuclear, or Offshore.

Responsibilities:

  • Collaborate with project teams to understand requirements and generate optimized outputs for engineering projects.
  • Develop and implement automation techniques to streamline processes and enhance productivity.
  • Apply predictive analytics, machine learning, statistical modeling, and algorithm design to solve complex engineering problems.
  • Utilize geospatial and structural understanding to support engineering projects and optimize design processes.
  • Develop user-friendly applications for data exploration and analysis.
  • Produce technical documentation for quality assurance purposes.
  • Communicate findings effectively through data visualization.
  • Assist in R&D scopes to drive innovation and business growth.
  • Ensure timely delivery of projects within budget constraints and meeting client specifications.

Requirements:

  • Strong data analysis experience, including machine learning and visual/graphical dataset analysis.
  • Experience in industry sectors such as Utilities, Nuclear, or Offshore preferred.
  • Bachelor's or Master's degree in a relevant field required.
  • Proficiency in Python/C++ required; knowledge of additional languages (e.g., Java, SQL) advantageous.
  • Proficiency in Microsoft Office365, particularly Word and Excel, essential.
  • Knowledge of engineering packages such as ANSYS, ABAQUS, MATLAB, or Mathcad advantageous.
  • Strong interpersonal and communication skills required.
  • Consistency and thoroughness in data checking and preparation essential.
  • Strong analytical, visualisation, and interpretive skills necessary.

General Capabilities:

  • Strong understanding of engineering principles.
  • Ability to manage workload and prioritize tasks effectively.
  • Commitment to delivering high-quality engineering solutions.
  • Excellent problem-solving skills.
  • Strong interpersonal skills, both written and verbal.
  • Ability to work effectively in team environments and independently.
  • Motivated and hard-working individual.
  • High standards of professional behaviour consistent with company policies and values.

Benefits:

  • Competitive salary with regular reviews.
  • 28 days holiday allowance (excluding 8 bank holidays).
  • Casual dress code.
  • Hybrid working options.
  • Better Health at Work Scheme.
  • Company bonus scheme.
  • Company pension.
  • Private medical care.
  • Paid overtime.
  • Career progression opportunities.
  • Support with Chartership.

Our client is accepting applicants of candidates who are located in the Newcastle Upon Tyne area or are currently in the process of relocating due to the urgent need of this role.
Unfortunately our client is unable to offer sponsorship at this time.

For more information, please apply!

Services Enquiry

"*" indicates required fields

Upload your CV

"*" indicates required fields

Accepted file types: pdf, doc, docx, txt, Max. file size: 256 MB.

Upload your CV

"*" indicates required fields

Accepted file types: pdf, doc, docx, txt, Max. file size: 256 MB.

Upload your CV

"*" indicates required fields

Accepted file types: pdf, doc, docx, txt, Max. file size: 256 MB.