About the role

Data Analyst/Manager responsible for finance data solutions and reporting at Securitas. Leading a team while collaborating with various functions on data quality and governance.

Responsibilities

Translate Finance business needs into data & reporting requirements.
Design intuitive and interactive dashboards using Power BI.
Analyze financial data for trends, variances, and insights to support business strategy.
Present findings and recommendations to stakeholders, Finance leadership, and cross-functional teams.
Serve as the primary liaison between our country and divisional stakeholders and technical data teams.
Convert business objectives into detailed functional and technical specifications.
Review and validate data models, source-to-target mappings, and metric definitions.
Ensure proper implementation by collaborating closely with data engineers and BI developers.
Lead initiatives on data quality, lineage, consistency, and regulatory compliance (e.g., GDPR).
Establish and enforce data governance policies, processes, and metadata standards, in alignment with the Global IT guardrails.
Conduct root cause analysis for data issues and define quality rules and reconciliation frameworks.
Oversee the data lifecycle management across source systems, warehouses, and reporting layers.
Manage and mentor a team of data analysts, report developers, and data engineers.
Promote collaboration, resolve escalations, and drive continuous improvement in data practices.
Foster a culture of transparency, documentation, and knowledge sharing.
Develop project plans, ensure executing efficiency.
Collaborate for smooth coordination across different departments (IT, HR, Finance) across different countries.

6+ years of experience in data analytics, BI/reporting including 2+ years in data management roles.
Demonstrated success in Finance reporting transformation.
Strong knowledge of Finance processes, KPIs, and regulatory reporting.
Hands-on experience with reporting platforms (Power BI), data modelling, and cloud architecture (Azure Data Factory).
Proficiency in SQL and familiarity with scripting (Python preferred).
Experience working in Agile/Scrum environments and leading delivery in distributed teams.
Proven track record of driving team initiatives to meet company goals and fostering a culture of accountability.
Demonstrated ability to mentor, motivate, and develop high-performing teams.
Extensive experience working with cross-functional teams to deliver complex projects.
Excellent interpersonal, verbal, and written communication skills to influence stakeholders at all levels.
Excellent verbal and written English; ability to present and influence at all levels.
Prior experience in working with ERP (Dynamics), Finance and HR applications is a plus.