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*about the role*:*grade level (for internal use)*: 10s&p dow jones indices*the role*: analyst- quantitative modeling*the team*: global index management & production group (impg)*the impact*:what is in it for you?Lead high-impact automation projects that drive efficiency and innovation in esg, dividend & thematic, fundamentals, and market data workflows.exposure to global teams and stakeholders, contributing to high-impact solutions.deepen expertise in python, sql, and power bi, while also exploring advanced automation techniques.professional growth through mentorship, training, and continuous learning opportunities.play a critical role in shaping and improving automation frameworks and best practices.
*responsibilities*:*automation development*: design, develop, and implement automation solutions using python, sql, and power bi to enhance data processing across esg, dividend & thematic, fundamentals, and market data workflows.
*mentorship & leadership*: provide guidance to junior team members, fostering a culture of continuous learning and innovation.
*project leadership*: take ownership of global dx projects, coordinating across multiple teams and ensuring successful implementation.
*collaboration & integration*: work closely with global teams and stakeholders to align automation solutions with business needs and evolving data requirements.
*data management & quality control*: ensure consistency and accuracy in data used for reporting, analytics, and decision-making.
*governance & compliance*: adhere to internal policies, data governance best practices, and regulatory requirements.
*documentation & knowledge sharing*: maintain clear documentation of automation processes and provide training to other team members.
*what we are looking for*:- technical skills:advanced proficiency in python for automation and scripting.strong expertise in sql,.experience with power bi (or other visualization tools) for data analysis and reporting.knowledge of apis, and data integration methods is a plusstrong understanding of data structures, workflow automation, and process optimization techniques- domain knowledge : understanding of esg, dividend & thematic, fundamentals, and market data is a strong advantage.- problem-solving mindset : ability to analyze complex data processes, identify inefficiencies, and develop automation solutions.- collaboration & communication : strong interpersonal skills to work effectively with global teams and stakeholders.- attention to detail : commitment to maintaining high data quality and reliability in automated processes.- adaptability & learning agility : willingness to learn new tools, techniques, and industry best practices