Lead Data Analyst - DAX Power BI

Description :

We are seeking a highly skilled Lead Data Analyst to join our Analytics team to serve customers across the property insurance and restoration industries.

As a Lead Data Analyst you will play a crucial role in developing methods and models to inform data-driven decision processes resulting in improved business performance for both internal and external stakeholder groups.

You will be responsible for interpreting complex data sets and providing valuable insights to enhance the value of data assets.

The successful candidate will have a strong understanding of data mining techniques, methods of statistical analysis, and data visualization tools.

This position offers an exciting opportunity to work in a dynamic environment, collaborating with cross-functional teams to support decision processes that will guide the respective industries into the future.

Responsibilities :

• Collaborate with cross-functional teams to understand and document requirements for analytics products.
• Serve as the primary point of contact for new data / analytics requests and support for customers.
• Lead a team of analysts to deliver client deliverables on a timely manner.
• Act as the domain expert and voice of the customer to internal stakeholders during the analytics development process.
• Develop and maintain an inventory of data, reporting, and analytic product deliverables for assigned customers.
• Work with customer success teams to establish and maintain appropriate customer expectations for analytics deliverables.
• Create and manage tickets on behalf of customers within internal frameworks.
• Ensure timely delivery of assets to customers and aid in the development of internal processes for the delivery of analytics deliverables.
• Work with IT / Infrastructure teams to provide customer access to assets and support internal audit processes to ensure data security.
• Create and optimize complex SQL queries for data extraction, transformation, and aggregation.
• Develop and maintain data models, dashboards, and reports to visualize data and track key performance metrics.
• Conduct validation checks and implement error handling mechanisms to ensure data reliability.
• Collaborate closely with stakeholders to align project goals with business needs and perform ad-hoc analysis to provide actionable recommendations.
• Analyze large and complex datasets to identify trends, patterns, and insights, and present findings and recommendations to stakeholders in a clear and concise manner.

Job Qualifications :

(ref : hirist.tech)