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Data Analyst - Finance Portugal, Lisbon or Porto Jobs

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Data Analyst
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Join Powerdot's Central Data team in Lisbon or Porto as a Data Analyst. Transform data into actionable insights using SQL, Python, and tools like Tableau. Enjoy health insurance, flexible hours, and a dynamic, growth-focused environment.
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Portugal , Lisbon or Porto
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Not provided
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Powerdot
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Until further notice
Explore a world of opportunity in Data Analyst - Finance jobs, a dynamic and critical profession at the intersection of data science and financial strategy. Data Analysts in the finance sector are the architects of insight, transforming vast quantities of raw financial data into the clear, actionable intelligence that drives sound business decisions, manages risk, and fuels growth. These professionals are essential in today's data-driven economy, serving as the vital link between complex numbers and strategic business outcomes. A Data Analyst in finance typically engages in a cycle of data collection, processing, analysis, and communication. Their core responsibilities involve designing and maintaining data pipelines from various sources such as transactional systems, market data feeds, and internal databases. They perform rigorous data cleaning and validation to ensure the utmost accuracy and integrity of financial information, which is paramount in a highly regulated industry. Using statistical techniques and analytical tools, they identify trends, forecast performance, and build models to answer key business questions. A significant part of their role is to then translate these complex findings into digestible reports, interactive dashboards, and compelling visualizations for stakeholders across the organization, from executives and portfolio managers to risk and compliance officers. They are often tasked with monitoring key performance indicators (KPIs), conducting root cause analysis for data discrepancies, and supporting regulatory reporting by ensuring data is fit-for-purpose and thoroughly documented. To excel in these finance jobs, a specific set of skills and qualifications is generally required. A strong analytical mindset with exceptional problem-solving abilities is non-negotiable. Technically, proficiency in SQL for querying databases is a fundamental skill, often complemented by experience with programming languages like Python or R for more advanced statistical analysis and automation. Expertise in data visualization tools such as Tableau, Power BI, or Qlik is highly valued for creating insightful dashboards. From an educational standpoint, a bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, or a related field is typical, with many senior roles preferring a master's degree or relevant professional certifications (e.g., CFA, FRM). Crucially, these roles demand more than just technical prowess; they require sharp business acumen to understand financial products, markets, and the regulatory landscape. Excellent communication skills are essential to articulate complex data stories to non-technical audiences, and a meticulous attention to detail is critical to maintain data integrity in all reporting. If you are a curious, detail-oriented professional with a passion for finance and data, exploring Data Analyst - Finance jobs could be the perfect career path for you.

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