Our client (the employer) is one of the finest risk management and analytics provider.

Their inhouse real-estate self-service analytics platform allows global real estate funds to source, synthesize and analyze vast amounts of internal and external data, delivering real-time, actionable insights to the world’s leading investors.

The company has a team-oriented culture that attracts and rewards exceptional performers in the software development, infrastructure, data analytics and financial analysis sectors.

Reporting to the Lead Data Analyst, the Data Analyst I will contribute to complex Data Products, part of the Asset Platform, that support the platform’s end users in key decision-making.

‍

‍

Responsibilities:

• Focus on contributing to existing or new Data Products using mainly Power BI Desktop, as well as other tools, that enable end users to engage in self-service data analysis through experience rich data content.
• Support the team’s processes, including performing data refreshes, analyzing the root cause of Data Products defects, creating or maintaining data snapshots and engaging Product Management team members during wireframing.
• Query the Enterprise Data Warehouse using SQL or BI tools to retrieve data required for ad-hoc data analysis.

‍

‍

Your impact:

• As a Data Analyst I, you will play a critical role in contributing to feature-rich and meaningful data analysis experiences that facilitate key decision-making for end-users.
• You will work with other internal teams to ensure a great level of quality across the deliverables you are collaborating on.

‍

‍

Your background and experience:

• B.S. or M.S. in Statistics / Mathematics / Economics / Computer Science / Management Information Systems
• Great general data analysis fundamentals
• Proven knowledge of Power BI Desktop fundamentals (preferable, but similar experience with other tools, such as Tableau/Looker/Apache Superset, may be equivalent)
• Working knowledge of database querying through SQL or similar

‍

‍

Nice to have:

• Working experience with the wider Power BI/SSAS/AAS tooling ecosystem (DAX Studio, Tabular Editor, ALM Toolkit etc.)
• Working experience with reporting data models, such as dimensional data marts or similar
• Working experience with VCS software such as Git or similar
• Proficiency in MS Excel, especially PowerPivot
• Working experience with Snowflake or Databricks
• Python Data Analysis (example libraries consist of, but are not limited to: pandas, matplotlib, seaborn, scikit-learn, plotly)
• R Data Analysis (example libraries consist of, but are not limited to: ggplot2 and/or general tidyverse, RMarkdown, Shiny)

‍

‍

Perks:

• Good work/life balance
• Medical Subscription
• Trainings and Certifications
• Floating legal holidays
• Additional vacation days
• Bonuses

‍

‍

‍

Only candidates selected will be contacted for an interview. All your data is confidential.

‍

‍