Associate Specialist, Data Analytics, Finance Data

1 day ago

Manila, National Capital Region, Philippines Northern Trust Company Full time $90,000 - $120,000 per year
About Northern Trust:

About the Role

Associate SpecialistData AnalyticsSnowflakePower BI

Key Responsibilities
  • Collaborate with data engineers and data analysts to design scalable, performant data models in Snowflake.
  • Lead the design and continuous improvement of Power BI dashboards with a focus on usability, storytelling, and business value.
  • Conduct user research and usability testing to inform product decisions and improve the user journey.
  • Translate business needs into technical requirements and product features.
  • Ensure data governance, quality, and security standards are upheld across all solutions.
  • Monitor product performance and usage analytics to drive enhancements.
  • Partner with cross-functional teams in technology, finance and business stakeholders to align on priorities and execution.
Required Qualifications
  • At least 6 years of experience in data visualization and user experience and analytics. Data modeling and / or data architecture experience a plus.
  • Advanced degree and / or certifications in UI/UX design, including human centric design principles, accessibility & inclusivity, data model visualizations
  • Experienced UI/UX designer focused on human-centered design principles
  • Advanced proficiency in Power BI Service cloud solutions using Direct Query on top of Snowflake data sets.
  • Strong hands-on experience with Snowflake, SQL, and data modeling. CortextAI experience a plus.
  • Proficiency in Python for data pipeline development and minor code enhancements preferred.
  • Experience working with structured, semi-structured, and unstructured data.
  • Familiarity with Agile methodologies and product lifecycle management.
  • Strong communication skills and ability to work independently in a client-facing environment.
  • Experience with working with global teams across all time zones
  • Experience integrating data into data lakes, warehouses, and relational databases.
  • Strong analytical mindset with a passion for improving user experience through data.
Working with Us:

Reasonable accommodation

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