CrawlJobs Logo
Briefcase Icon
Category Icon

Data Analyst - Finance Finland Jobs

2 Job Offers

Filters
SSP Data Analyst
Save Icon
Join HPE as a SSP Data Analyst in Uusimaa, Finland. Utilize your analytical skills in computer science or a related field to compile data and build models for critical sales decisions. You will work closely with a Nordic team, using Salesforce to ensure data quality and support business strategy....
Location Icon
Location
Finland , Uusimaa
Salary Icon
Salary
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Senior Data Analyst
Save Icon
Join Starship's elite data team in Helsinki as a Senior Data Analyst. Partner with Commercial leaders to solve complex problems using SQL and modern tools like dbt and Databricks. Turn billions of robot interactions into actionable insights that drive strategic business decisions and commercial s...
Location Icon
Location
Finland , Helsinki
Salary Icon
Salary
Not provided
starship.xyz Logo
Starship Technologies
Expiration Date
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.

Filters

×
Countries
Category
Location
Work Mode
Salary