Senior Data Analyst / Power BI Developer (PH)

Springtime Technologies is a dynamic and innovative software company specializing in the development and delivery of cutting-edge SaaS solutions using the latest trends in AI for accounts payable automation. More than 200,000 business users in 70 countries use our cloud software already. The company was founded in 2004 by a team of AI experts and has offices in Austria, Germany, and the Philippines.

As a Senior Data Analyst & Power BI Developer at Springtime, you will engage in a comprehensive role that spans the entire data analytics cycle. Leveraging Power BI and your expertise in DAX, you’ll be instrumental in every phase—from developing and managing data pipelines to building and refining data models, and from creating insightful visualizations to delivering actionable dashboards. Your work will ensure a cohesive analytics process that supports strategic decision-making across the organization, with a strong emphasis on agility and continuous enhancement.

Your tasks

• Develop, optimize, and maintain robust data pipelines (ETL) from various source systems to our Data Warehouse, ensuring data integrity and availability.
• Design and sustain insightful data models to bolster our analytics framework, enabling stakeholders to make informed decisions.
• Create compelling data dashboards, charts, and visualizations that simplify complex data sets into clear and impactful narratives.
• Analyze extensive datasets related to accounts payable workflows, using your findings to influence positive business outcomes.
• Vigilantly monitor and improve data quality and dashboard accuracy, upholding our high standards of data integrity.
• Work collaboratively with internal teams and external partners to understand and meet data requirements, aligning with our business goals.

Your profile

• A minimum of 5 years of professional experience in data analytics or engineering.
• Proficiency in Power BI and expertise in data manipulation using DAX, SQL, and Python.
• Strong understanding of relational database systems, particularly MS SQL Server, and adept in data management practices.
• Experience with data modeling, with a preference for those familiar with SSAS or Clickhouse.
• Knowledgeable in data governance, including managing data glossaries and lineage.
• Ability to translate complex data into intuitive visual reports and dashboards, with an understanding of financial processes and accounts payable workflows being beneficial.