Data Analytics Lead
M-Files, Finland

M-Files is a global leader in information management. The M-Files metadata-driven document management platform enables knowledge workers to instantly find the right information in any context, automate business processes, and enforce information control. This provides businesses with a competitive advantage and substantial ROI as they deliver better customer experiences and higher-quality work with lower risk. Learn more about what we do at www.m-files.com.

We are strengthening our team and looking for new Data amp; Analytics Lead to join our IT department in Reading, UK or in Tampere/Helsinki in Finland. Other M-Files countries, USA, Germany or France can be considered for the right candidate.

As the Data amp; Analytics Lead, you will play a central role in driving data-driven decision making within the company. You will be leading a team of analysts and data engineers in collecting, analyzing, and interpreting data from various sources to provide valuable insights and recommendations. Your expertise in data analysis and strong leadership skills will be crucial in guiding our organization towards achieving its goals and objectives.

1. Lead and manage a team of data analysts, providing guidance, direction, and support in their day-to-day activities.
2. Develop and implement a comprehensive analytics strategy to support the organization's business objectives.
3. Collect and analyze data from various sources, including internal systems, third-party tools, and market research, to identify trends, patterns, and opportunities.
4. Collaborate with cross-functional teams to define key performance indicators (KPIs) and develop dashboards and reports to track and measure performance against these metrics.
5. Provide actionable insights and recommendations to stakeholders based on data analysis, helping them make informed decisions and drive business growth.
6. Stay updated with the latest industry trends and advancements in analytics tools and technologies, and evaluate their potential to improve our data analysis capabilities.
7. Drive data governance initiatives by establishing data quality standards, ensuring data accuracy, and implementing data security measures.
8. Collaborate with IT teams to ensure data infrastructure, systems, and tools are optimized to support efficient data collection, storage, and analysis.
9. Effectively communicate complex analytical findings and insights to both technical and non-technical stakeholders through presentations, reports, and visualizations.
10. Foster a culture of data-driven decision making within the organization, promoting the use of analytics to drive continuous improvement and innovation.

1. Strong leadership and management skills, with the ability to motivate and inspire a team.
2. Proven experience in data analysis and visualization tools, such as SQL, Excel, Tableau, Power BI, or similar tools.
3. Strong understanding of modern data tools and the complete data stack.
4. Excellent analytical and problem-solving skills, with a strong attention to detail.
5. In-depth knowledge of statistical analysis techniques and methodologies.
6. Proficiency in data modeling and data manipulation.
7. Strong business acumen and the ability to connect data insights to business objectives.
8. Excellent communication and presentation skills, with the ability to translate complex data into clear and actionable insights.
9. Ability to work effectively in a fast-paced, dynamic environment, managing multiple priorities and meeting deadlines.

1. Bachelor's degree in a relevant field such as Mathematics, Statistics, Economics, or Computer Science. A Master's degree is preferred.
2. Minimum of 5 years of experience in analytics or a related field.
3. Proven track record of delivering impactful insights and recommendations based on data analysis.
4. Demonstrated experience in developing and implementing analytics strategies in a corporate environment.
5. Strong understanding of data governance principles and practices.
6. Familiarity with data visualization best practices and tools.
7. Experience working with large datasets and using statistical analysis techniques.
8. Knowledge of programming languages such as Python or R is preferred.
9. Certification in relevant analytics tools or methodologies is a plus.
   
   
   Opportunity for Career Advancement: This position offers the potential for customization to a more senior role based on the candidate's experience, skills, and performance. We are committed to recognizing and nurturing talent within our organization, and this role may evolve to align with the candidate's career goals and capabilities.

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