Associate Project Manager

Morningstar Credit Ratings, LLC; Mumbai; On-site; INR 1,400,000 - 2,200,000; Full time

Benefits offered by this job

Hybrid work environment

Global collaboration

Job summary

Morningstar seeks an Associate Project Manager for Data A&I to manage projects that strengthen analytical capabilities and build robust data infrastructure. You will blend strong PM skills with BI/data engineering know-how to oversee data sources, reporting solutions, and data-driven initiatives.

You will collaborate with engineering, data scientists, and business analysts, lead Agile ceremonies, and mentor teams while driving adoption of BI tools and data engineering methodologies across

Qualifications

• Minimum of 2 years of project management experience in BI, Analytics or Data Engineering.
• Proficient with JIRA and Asana to manage complex projects.
• Strong understanding of Agile methodologies and 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.

Responsibilities

• Manage projects in BI and Data Engineering aligned with objectives.
• Collaborate with engineering, data scientists, and analysts to deliver solutions.
• Lead Agile ceremonies and sprint planning for timely delivery.
• Mentor on Agile, PM, and data engineering best practices.
• Use JIRA and Asana to track progress and communicate with stakeholders.

Skills

Agile methodologies

Leadership

Communication

Mentoring

Education

Bachelor’s degree in Business Administration, Information Technology, Computer Science

PM certification (PMP or CAPM)

Tools

JIRA

Asana

SQL

Python

Tableau

Power BI

Job description

The Team: The Data Automation & Insights (Data A&I) team at PitchBook (a Morningstar company) harnesses advanced data analytics and engineering techniques to drive strategic decision-making and operational efficiency across the company.

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.

Benefits

• A range of other benefits are also available to enhance flexibility as needs change.
• 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.
• No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

Applicants With Disabilities Who Need Accommodation Morningstar is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call [phone] or email [e-mail] and let us know the nature of your request and your contact information. Please note: We only accept calls from applicants who need accommodation related to a disability. Please, no calls with unrelated questions or requests. Please be sure to include the title and location of the open position you’re interested in when you leave a message.

US Applicants: Morningstar is an E-Verify program participant.

Learn more: This Organization Participates in E-Verify (English) This Organization Participates in E-Verify (Spanish) Right to Work (English) Right to Work (Spanish) EEO is the Law Pay Transparency Notice Morningstar is strongly committed to creating and preserving equal opportunity for all employees and applicants. We make all employment decisions—including recruitment, hiring, compensation, training, promotion, transfer, discipline, termination, and other personnel matters—without regard to race, color, ancestry, religion, sex, national origin, age, disability, protected veteran status, marital status, sexual orientation, genetic information, citizenship, gender identity and expression, parental status, or other legally protected characteristics or conduct.

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