Senior Analytics Engineer

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Requirements:

• Minimum of 5 years of hands-on experience as a data professional, preferably with a focus on M&A activities.
• Proficient in writing highly-performant SQL queries and python scripts for analysis.
• Strong understanding and experience in data analysis, preferably in an M&A context.
• Experience in stakeholder management and requirement gathering.
• Proficient in visualizing datasets using BI tools (such as Looker, Tableau, Mode, PowerBI, etc.)
• Experience with ELT/ETL tools (such as Fivetran, Stitch, etc.) and data transformation tools (like dbt, etc.)
• Familiarity with software engineering best practices like version control and continuous integration.

Responsibilities:

• Conduct in-depth data analysis using SQL and/or python and Excel as part of the due diligence and data migration processes during M&A activities.
• Develop and maintain robust data models to support the analysis and interpretation of complex M&A data.
• Collaborate with team members through version control and peer reviews, ensuring high-quality data analysis and interpretation.
• Gather and interpret requirements from various internal business units (M&A, Finance, Legal, Strategy, etc.) involved in the acquisition process.
• Translate complex M&A business requirements into thorough, insightful data analyses that inform strategic decisions.
• Maintain and expand our data catalogue with a focus on M&A related data, ensuring data integrity and accuracy during data migrations.
• Guide analysts and business users in identifying relevant data points and metrics to track M&A progress and outcomes, using data visualization tools like Looker.
• Enable teams to explore M&A-related data marts in a self-service manner, fostering a data-driven culture.
• Stay updated with industry trends and new technologies to ensure we remain a fast-moving technology adopter in the M&A space.