Senior Power BI Analytics.

The Senior Power BI Analytics role is a pivotal position within the automotive dealership and distributor sector, focusing on transforming data into actionable insights. This position requires a blend of analytical skills and technical expertise to drive business intelligence initiatives. The ideal candidate will leverage Power BI to create comprehensive reports and dashboards that support decision-making processes across various departments. With a minimum of one year and a maximum of five years of experience, this role is suited for individuals who are passionate about data analytics and eager to contribute to the growth of the organization.

Responsibilities:

1. Develop and maintain interactive Power BI dashboards and reports to visualize key performance indicators.
2. Collaborate with cross-functional teams to gather requirements and understand data needs.
3. Analyze complex datasets to identify trends, patterns, and insights that inform business strategies.
4. Ensure data integrity and accuracy by implementing data validation processes.
5. Provide training and support to team members on Power BI tools and best practices.
6. Stay updated on the latest Power BI features and industry trends to enhance reporting capabilities.
7. Assist in the development of data governance policies to ensure compliance and security.
8. Participate in regular meetings to present findings and recommendations to stakeholders.
9. Optimize existing reports for performance and usability.
10. Support ad-hoc analysis and reporting requests as needed.

Preferred Candidate:

1. Strong analytical and problem-solving skills.
2. Proficient in Power BI and data visualization techniques.
3. Excellent communication and presentation skills.
4. Ability to work collaboratively in a team environment.
5. Detail-oriented with a focus on data accuracy.
6. Experience in the automotive industry is a plus.
7. Proactive and self-motivated with a desire to learn.
8. Ability to manage multiple projects and deadlines.
9. Familiarity with SQL and data modeling concepts.
10. Strong organizational skills and attention to detail.