Data Analyst
We are seeking a skilled and detail-oriented Data Analyst to join our dynamic team. The Data Analyst will be responsible for collecting, analyzing, and interpreting complex data sets to provide actionable insights that drive informed decision-making across the organization. This role involves working closely with stakeholders to understand their data needs, develop analytical solutions, and present findings in a clear and concise manner.
Responsibilities
- Data Collection and Processing:
- Extract, transform, and load data from various sources.
- Clean and preprocess data to ensure accuracy and consistency.
- Develop scripts and workflows to automate data collection and processing tasks.
- Data Analysis and Interpretation:
- Perform exploratory data analysis to uncover trends, patterns, and anomalies.
- Apply statistical and analytical techniques to derive insights from complex datasets.
- Data Visualization and Reporting:
- Create visually appealing and interactive dashboards, reports, and presentations.
- Communicate findings and recommendations to stakeholders using data visualization tools.
- Collaborate with cross-functional teams to design and deliver actionable insights.
- Data Quality Assurance:
- Validate data accuracy, completeness, and integrity.
- Identify and address data quality issues and discrepancies.
- Implement data quality controls and monitoring mechanisms.
- Business Intelligence and Decision Support:
- Partner with business units to define key performance indicators (KPIs) and metrics.
- Analyze business processes and operations to identify opportunities for improvement.
- Provide decision support through ad-hoc analysis and scenario modeling.
Requirements
- Experience: Proven experience in data analysis, business intelligence, or related roles.
- Skills:
- Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R).
- Strong analytical and problem-solving skills with attention to detail.
- Ability to work independently and collaboratively in a fast-paced environment.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Knowledge of machine learning and data mining techniques is desirable.
We are the ASSA ABLOY Group
Our people have made us the global leader in access solutions. In return, we open doors for them wherever they go. With nearly 61,000 colleagues in more than 70 different countries, we help billions of people experience a more open world. Our innovations make all sorts of spaces – physical and virtual – safer, more secure, and easier to access.
As an employer, we value results – not titles, or backgrounds. We empower our people to build their career around their aspirations and our ambitions – supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally.
As we welcome new people on board, it’s important to us to have diverse, inclusive teams, and we value different perspectives and experiences.
