The Role: The Associate Project Manager for Data A&I will manage projects that enhance our analytical capabilities and develop robust data infrastructure. This role requires a blend of strong project management skills and a solid understanding of BI and data engineering technologies to oversee the creation and enhancement of data sources, reporting solutions, and data-driven projects.
Responsibilities:
- Facilitate the management and execution of projects within the Business Intelligence and Data Engineering domains, ensuring alignment with the company's strategic objectives and Agile methodologies.
- Collaborate with cross-functional teams, including engineering, data scientists, and business analysts, to deliver innovative solutions that enhance data processing and reporting capabilities.
- Lead Agile ceremonies for projects, driving effective sprint planning, daily stand-ups, and sprint reviews to ensure timely delivery of initiatives.
- Empower the team by mentoring on best practices in Agile, project management, and data engineering, while also fostering a learning and collaborative culture within the team.
- Utilize project management tools such as JIRA and Asana to track project progress, manage tasks, and facilitate communication among project stakeholders.
- Communicate effectively across all levels of the organization to ensure transparency and alignment on project goals, progress, and outcomes.
- Drive the adoption and optimization of BI and data engineering tools and methodologies, providing training and support to enhance team capabilities.
- Develop and maintain comprehensive project documentation and manage stakeholder communications to keep all parties informed about project status and decisions.
Qualifications:
- Bachelor's degree in Business Administration, Information Technology, Computer Science, or a related field; Project Management certification (e.g., PMP, CAPM) preferred.
- Minimum of 2 years of project management experience, ideally in a Business Intelligence, Data Analytics, or Data Engineering environment.
- Proficient in using project management tools like JIRA and Asana to manage complex projects effectively.
- Strong understanding of Agile methodologies and experience in leading Agile teams.
- Technical proficiency with BI and data engineering tools such as SQL, Python, Tableau, Power BI, and familiarity with data warehousing and ETL processes.
- Exceptional communication and interpersonal skills, with an ability to navigate complex project details with both technical and non-technical stakeholders.
- Demonstrated leadership skills and a proactive approach in resolving problems and leading change.
Morningstar is an equal opportunity employer.
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity
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What We Do
At Morningstar, we believe in building great products in-house in a highly collaborative, agile environment where we focus on technical excellence, the user experience, and continuous improvement. Our technologists represent a range of skills and experience levels, but they all view their work as a craft and push technology’s boundaries.
Why Work With Us
Imagining big things is in our blood -- it's transformed us from a company with just a few employees in 1984 to a leading independent investment research company with a worldwide presence today. As of April 2020, we acquired Sustainalytics to drive long-term meaningful outcomes for investors in the ESG space. Join us on this exciting journey!
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