
Lead Business Intelligence Developer
Are you a highly skilled developer with a passion for data and analytics? Do you thrive in a fast-paced, dynamic environment? If so, General Motors is looking for a Lead Business Intelligence Developer to join our team. In this role, you will be responsible for developing and implementing cutting-edge business intelligence solutions to drive strategic decision-making across the organization. We are seeking a driven and experienced individual with a strong technical background and excellent leadership skills. If you are ready to take your career to the next level and make a significant impact in the automotive industry, we encourage you to apply for this exciting opportunity.
- Develop and implement advanced business intelligence solutions to support data-driven decision making throughout the organization.
- Lead a team of developers to design, build, and maintain business intelligence applications and databases.
- Collaborate with cross-functional teams to identify business needs and translate them into technical solutions.
- Stay up-to-date with industry trends and emerging technologies to continually enhance and improve our business intelligence capabilities.
- Manage and prioritize multiple projects, ensuring timely delivery of high-quality solutions.
- Provide technical guidance and mentorship to team members, promoting a culture of continuous learning and growth.
- Conduct regular performance evaluations and provide feedback to team members to drive their development and success.
- Communicate and present complex technical concepts and findings to non-technical stakeholders in a clear and concise manner.
- Develop and maintain data governance policies and procedures to ensure data accuracy, integrity, and security.
- Collaborate with data analysts and business leaders to identify new opportunities for data analysis and reporting.
- Support and troubleshoot any technical issues with business intelligence solutions.
- Participate in the evaluation and selection of new tools and technologies to enhance our business intelligence capabilities.
Strong Technical Skills: A Lead Business Intelligence Developer At General Motors Should Have A Deep Understanding Of Data Warehouse Design, Etl Processes, And Data Visualization Tools. They Should Also Have Experience With Sql, Python, And Other Programming Languages.
Management Experience: As A Lead, This Role Will Involve Managing A Team Of Bi Developers And Analysts. Therefore, Candidates Should Have Previous Experience In A Leadership Or Management Position, With The Ability To Delegate Tasks, Provide Guidance, And Handle Conflicts Effectively.
Business Acumen: General Motors Is A Large And Complex Organization, So The Ideal Candidate Should Have A Strong Understanding Of The Automotive Industry And The Company's Business Processes. This Will Enable Them To Develop Bi Solutions That Align With The Company's Goals And Objectives.
Analytical Mindset: A Lead Business Intelligence Developer Should Have Excellent Analytical Skills And Be Able To Identify Trends And Patterns In Data. They Should Also Have The Ability To Interpret And Communicate Complex Data In A Meaningful Way To Stakeholders At All Levels Of The Organization.
Continuous Learning: The Bi Landscape Is Constantly Evolving, And General Motors Is Committed To Staying At The Forefront Of Technology. Therefore, Candidates Should Have A Passion For Learning And Staying Current With Industry Trends, New Tools, And Techniques To Drive Innovation And Efficiency In Bi Solutions.
Project Management
Business Intelligence
Data Analysis
Database Management
Data Modeling
Data warehousing
Data Visualization
Report Writing
ETL processes
SQL development
Dashboard Creation
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Attention to detail
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Lead Business Intelligence Developer in Warren, MI, USA is between $102,000 and $145,000 per year. This may vary depending on the specific company, experience level, and industry. Additional factors such as bonuses, benefits, and location may also impact the salary range.
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