Data Analyst Finance

Elementis Global; Porto; Presencial; EUR 42 000 - 62 000; Tempo integral

Resumo da oferta

Elementis Global is seeking a Data Analyst - Finance to translate complex datasets into actionable insights across the organisation. Based at the Porto Hub, you will collaborate with business stakeholders to interpret data, build Power BI dashboards, and support planning, forecasting and reporting cycles.

The role requires 3+ years in finance analytics and strong Excel/Power BI skills. You will help optimise processes, promote data governance, and provide senior management with clear,

Qualificações

• Bachelor’s degree in Accounting, Finance or Business Administration (required).
• 3+ years of work experience in an analytical role within Finance, preferably in an international manufacturing/industrial environment.
• Strong proficiency in Power BI and MS Excel; Python/SQL knowledge is advantageous.

Responsabilidades

• Partner with business stakeholders to interpret analytical results and translate data into insights.
• Produce monthly management information and analyze financial results with KPIs.
• Support planning, forecasting, budgeting and capex submissions.
• Review budgets, monitor progress and highlight variances for leaders.

Conhecimentos

Analytical thinking

Stakeholder management

Attention to detail

Data storytelling

Formação académica

Bachelor’s degree in Accounting, Finance or Business Administration

Country-specific accounting qualification (or in-progress)

Ferramentas

Power BI

Excel (Pivot Tables)

Python

SQL

Descrição da oferta de emprego

Job Summary

The Data Analyst - Finance transforms complex datasets into clear, actionable insights that support decision making across the organisation. Working as part of a matrix team and aligned to Finance, the role partners closely with business stakeholders to understand their priorities, interpret data in context, and deliver high quality analysis, dashboards, reporting and presentations. The role is responsible for interpreting financial results and supporting planning and forecasting cycles.

The Data Analyst - Finance also supports Finance with projects, tools and continuous improvement initiatives that enhance performance, drive productivity and strengthen data driven decision making. The analyst participates in and coordinates the optimisation of functional processes, tools and systems.

Responsibilities

• Partner with the supported function to understand business priorities, interpret analytical results and translate data into meaningful insights.
• Produce accurate, timely monthly management information for the area supported, including analysis, interpretation and presentation of financial results. Monitor KPIs specific to the function and highlight emerging issues or deviations from plan.
• Support functional performance cycles such as planning, forecasting, budgeting and capex submissions.
• Review financial plans and budgets, monitor progress, highlight variances and keep business leaders informed of financial performance and emerging issues.
• Provide clear and actionable analysis on trends, patterns, risks and opportunities relevant to the supported function to support operational and strategic decision making.
• Support the preparation of internal and external presentations, ensuring insights are communicated clearly and effectively.
• Act as a trusted analytical advisor within a matrix structure, ensuring strong communication and alignment with both functional leaders and the Business Data Manager.
• Ensure all plans, forecasts, capex submissions and relevant projects are accurately captured in the appropriate systems.
• Liaise with Finance and Business leaders to confirm projects remain within approved delegations.
• Own actuals‑to‑Plan‑to‑Forecast reconciliations for the supported area.
• Manage provisions and accruals relevant to the business area supported.
• Ensure data is clean and accurate across various sources, such as JDE/ERP and other financial systems.
• Clean, validate and prepare data for operational use and analysis, ensuring accuracy and consistency in line with data governance standards and business guidelines.
• Validate finance dashboards, identify and resolve any issues, and propose solutions to the Data Manager and stakeholders.
• Escalate data quality issues to the Business Data Manager and Data Architecture and Governance team.
• Ensure all reporting uses approved definitions, metrics and governed datasets.
• Act as a subject matter expert in a designated field (e.g., functional fixed costs, operations and cost accounting, standard costing, capex, pricing and margin analysis, property and lease costs, or working capital).
• Maintain Power BI dashboards, reports and visualisations that enable stakeholders to interpret key metrics and trends.
• Run and distribute reports when required and not available in self‑serve mode, while promoting self‑service where appropriate.
• Continuously improve tools and dashboard performance, usability and clarity.
• Advise on and participate in developing improvements to dashboards and reports.
• Provide super‑user support and training to stakeholders on designed tools (e.g., Anaplan, Capex tool), Power BI and data‑related activities.
• Promote a data‑driven culture across Elementis.
• Consolidate feedback on new or updated reporting requirements and support development of these tools and new Power BI dashboards or enhancements.
• Collaborate with the Business Data Manager, Technical Specialist and Data Governance teams to improve data foundations, reporting processes and analytical capabilities.
• Participate in periodic rotation across these areas to broaden capability and organisational resilience.
• Support functional projects and initiatives by providing analytical input, coordination capabilities and subject‑matter expertise that enable better decision‑making, higher growth or more efficient operations.
• Contribute to process improvements, automation opportunities and enhancements to functional performance tools.
• Coordinate with cross‑functional teams to ensure project deliverables are aligned, well‑structured and supported by accurate data.

Decision making

You recommend accruals and provisions for the business unit supported.

You validate business requests relating to data changes before instructing DIG to implement changes ensuring functional guidelines and data governance and quality guidelines are met.

You decide how to structure analysis and visualisations to meet business needs.

You resolve day‑to‑day analytical issues to ensure insights are accurate, timely and aligned with functional expectations.

Job Competencies & Key Personal Attributes

• Business partnering and communication – engage stakeholders across functions and present insights and complex concepts clearly and compellingly.
• Self‑starter with high enthusiasm – self‑directed, self‑motivated and capable of dealing with imperfect information.
• Engagement and influence – build strong relationships and influence stakeholders without direct authority.
• Analytical problem‑solving and “can do” attitude – interpret complex datasets, identify trends and translate findings into actionable insights.
• Attention to detail – ensure accuracy in data updates, preparation, reporting and financial reconciliations.
• Planning, project management and prioritisation – manage multiple requests, balance BAU and ad‑hoc work and deliver outputs on time.
• Team player – strong ethics, integrity and a humble, low‑ego attitude.

Technical Knowledge and Skills

• Proficiency in Power BI and visualisation best practices.
• Excellent Excel skills, including pivot tables; statistical knowledge is an advantage.
• Proven track record of successful partnering with business leadership.
• Advanced skills in data collection, cleansing and validation to minimize errors and discrepancies.
• Strong analytical and quantitative skills.
• Strong data financial modelling skills.
• Understanding of standard cost accounting is a distinct advantage.
• Familiarity with Python or other analytical tools is an advantage.

Position Requirements

Education

• Bachelor’s degree in Accounting, Finance or Business Administration (required).
• Qualification in Accounting pertinent to the country in question (or in‑progress) for Finance Analysts.

Experience

• 3+ years of work experience including an international manufacturing/industrial environment.
• 3+ years of work experience in an analytical or support role within Finance.
• Demonstrated ability to deliver high‑quality dashboards, reports and insights.
• Experience working cross‑functionally and partnering with business stakeholders.
• Experience operating under matrix management is a distinct advantage.

IT Skills

Proficient in Power BI (required) and expert level in MS Excel, including pivot tables (required). Python, SQL (advantage but not required).

Language Skills

Verbal and written fluency in English.

Working Arrangements

The role is full‑time and based at the Porto Hub (minimum 3 days per week in the office).

Traveling Required

Occasional international travel to other Elementis sites as required.