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Data Analyst - Finance Czech Republic Jobs (Hybrid work)

5 Job Offers

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Data Intelligence Analyst
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Join our Prague team as a Data Intelligence Analyst. Utilize your 2+ years in IT/business analysis and SQL skills to perform impact analyses and create functional designs. Enjoy flexible hours, home office, and 5 weeks of vacation in a supportive culture. Grow professionally in insurance technolo...
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Czech Republic , Prague
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Allianz
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Data Analyst
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Join Emplifi as a Data Analyst in Prague, Pilsen, or Brno. Transform social media data into strategic insights using Python, SQL, and Databricks. Support global teams with impactful analyses in a dynamic, international environment that fosters professional growth.
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Czech Republic , Prague, Pilsen, Brno
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Emplifi
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Until further notice
Data Analyst
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Join Emplifi as a Data Analyst in Prague, Pilsen, or Brno. Transform social media data into strategic insights using Python, SQL, and Databricks. You will support global teams, automate reporting, and drive business decisions in a dynamic, agile environment with cutting-edge technology.
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Czech Republic , Prague; Pilsen; Brno
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Emplifi
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Until further notice
Data analyst - Marketing
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Join KBC Global Services in Brno as a Data Analyst for Marketing. Utilize your 2+ years of experience and Python/PySpark skills to build and manage marketing campaigns. Enjoy benefits like meal vouchers, a cafeteria system, and a Multisport card while supporting a leading European bank-insurance ...
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Czech Republic , Brno
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Sport Vision Czechia s.r.o.
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Data Analyst
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Join KBC Global Services as a Data Analyst in Brno. Work with complex Data Warehouse and AWS Cloud, utilizing Python, PySpark, and SQL. Enjoy a hybrid model, performance bonuses, and 28 days off. Analyze data flows and deliver insights in a dynamic banking environment.
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Czech Republic , Brno
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Sport Vision Czechia s.r.o.
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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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