FAQs
What are the primary responsibilities of a Senior Data Analyst in this role?
The primary responsibilities include data collection and preparation, developing and maintaining data models, performing analysis to implement dashboards, proactive data exploration to uncover insights, supporting business line organizations with data requirements, responding to ad hoc requests, and providing training and support to end-users.
What qualifications are required for this position?
A Bachelor’s degree in Computer Science, Engineering, Statistics, Economics, Finance, or a related field is required. Additionally, a background in programming, statistics, machine learning, data visualization, and problem-solving is necessary.
What tools and technologies should a candidate be familiar with?
Candidates should have experience with data analysis and business intelligence tools, particularly Power BI and/or Fabric, as well as scripting languages such as Power Query M Language, DAX, SQL, Python, Spark, and R. Familiarity with supporting tools like DAX Studio, SQL Management Studio, and Tabular Editor is also preferred.
Is experience in data management important for this role?
Yes, knowledge of ETL, data governance principles, and industry best practices, along with an understanding of core data concepts, is essential for this role.
Are strong communication skills necessary for this position?
Yes, sound written and oral communication skills are required, as well as the ability to deal with ambiguity and complex problems.
Will there be opportunities for continuous learning in this role?
Yes, the organization values continuous learning and provides an exceptional environment for personal and professional growth.
What is the work environment like for a Senior Data Analyst?
The work environment is collaborative and dynamic, with opportunities to work alongside talented Power BI developers and engage with business stakeholders to solve complex challenges.
How is performance measured in this role?
Performance may be measured through the effectiveness of data analysis, quality of insights and recommendations provided, and successful support of business line organizations in meeting their data requirements.
Is experience with data visualization critical for this position?
Yes, experience in data visualization is crucial, as the role involves promoting creative analytics and developing dashboards to present meaningful insights.
What types of challenges might a Senior Data Analyst face?
A Senior Data Analyst may encounter complex data-related challenges, technical issues, and the need to interpret business requirements while ensuring data quality and accuracy in a fast-paced environment.