Data Analytics and Transformation, Associate

JPMorganChase•Plano, TX

About The Position

Join our Incentive Compensation team today! As a Data Analytics and Transformation Associate within the Incentive Compensation team, you will promote operational revolution through data insights, KPI planning, and support automation. You will identify root causes, enhance performance, and support in shaping the future of our team. Join us! In this role, you'll support data-driven decision-making and help improve operational efficiency. You'll assist with data analytics and KPI metric planning, identify opportunities for business improvement, and contribute to transforming processes into more automated and efficient forms. You'll also explore the root causes of daily operational issues and provide insights to enhance performance. This position is ideal for a proactive problem-solver with a keen eye for detail and a passion for using data to promote business success.

Requirements

Minimum of 3+ years of experience in data analytics and data transformation with strong data driven decision making skills.
Minimum of 2 years in project management and operations , with a proven track record in supporting automation projects and driving process improvements.
Skilled in managing and analyzing large volumes of granular data, with the ability to synthesize and interpret complex information.
Expertise in using tools such as Excel, PowerPoint, and Quick Sight or Tableau to translate data into actionable insights and compelling presentations.
Adept at utilizing SQL for efficient data extraction and comprehensive analysis to support informed decision-making.
Experienced with ServiceNow, with the ability to track and streamline inquiries, reducing manual effort and enhancing operational efficiency.
Strong storytelling skills with analytics; able to communicate insights effectively
Team player with ability to meet tight deadlines.
Good verbal and written communication skills.

Nice To Haves

Proactively integrates innovative technologies into day-to-day work, including the use of AI tools like large language models (LLMs), and actively shares with fellow colleagues.
Knowledge of UI path and Alteryx is a preferred.
Basic knowledge of Python
Bachelor's degree in Information Technology, Business, or a related field.

Responsibilities

Collaborate in planning and developing comprehensive KPI metrics to align with organizational goals and guide strategic decisions.
Conduct in-depth data analysis to uncover operational issues, identify root causes, and implement solutions for enhanced efficiency.
Streamline daily activities by assessing current processes, support and will be involved in identifying areas for improvement and implementing innovative solutions to boost productivity.
Assist in transforming processes by leveraging existing tools and technologies, support in identifying opportunities for automation, and minimizing manual effort.
Work closely with cross-functional teams to implement data-driven improvements and ensure a smooth transition during process changes.
Utilize SQL for data querying and analysis, ensuring accuracy and integrity.
Actively identify opportunities for continuous improvement and implement innovative solutions to enhance processes and efficiency.
Utilize ServiceNow knowledge to identify the root cause of inquiries and contribute to enhancing customer experience.
Design, develop, and maintain interactive dashboards.
Work with data from legacy systems and adept at integrating data from multiple flat files to develop cohesive solutions for comprehensive analysis and reporting.