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Data Analyst

Location: Plymouth

Salary: £35,000 – £40,000 per annum

Overview

A leading maritime business in Plymouth is seeking a Data Analyst to support project and operational teams by analysing, tracking, and reporting key business data.

Working closely with the Commercial Lead, Finance team, and project stakeholders, this role will focus on maintaining high-quality data, developing meaningful reports, and generating insights that support informed decision-making across major projects.

This is an excellent opportunity for an analytical professional who enjoys turning complex data into clear, actionable insights within a dynamic engineering environment.

Responsibilities

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Analyse project and operational data to support performance tracking and decision-making

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Develop and maintain data reports, dashboards, and monthly trackers

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Consolidate data from multiple sources to create accurate and reliable datasets

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Support the creation of forecasts, projections, and performance reports

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Monitor project metrics and identify trends, risks, and opportunities

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Work with cross-functional teams to interpret and communicate data insights

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Ensure accuracy, consistency, and integrity of business data

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Identify opportunities to improve data reporting processes and tools

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Support internal reporting cycles and operational reviews

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Provide ad-hoc data analysis and reporting as required

Requirements

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Strong experience in a Data Analyst or analytical role

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Advanced Microsoft Excel skills (complex formulas, pivot tables, data analysis)

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Ability to work with large datasets and multiple reporting sources

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Strong analytical thinking and problem-solving ability

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Excellent attention to detail and data accuracy

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Ability to present data insights clearly to technical and non-technical stakeholders

Desirable

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Experience working in engineering, maritime, manufacturing or project-based environments

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Experience using data visualisation tools such as Power BI or Tableau

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Understanding of project or operational performance reporting

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Degree in Data Analytics, Business Analytics, Mathematics, Finance or related discipline

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