Analytics Solutions- Associate

17 hours ago

Bengaluru Karnataka, India JPMorganChase Full time

You are a strategic thinker passionate about driving solutions in Analytics. You have found the right team.

As a Analytics Solutions Associate in our Finance team, you will spend each day defining, refining and delivering set goals for our firm.

**Responsibilities**:

- Collaborate with finance stakeholders to understand business needs and translate them into data requirements and Analytical solutions.
- Design, develop, and maintain interactive dashboards and reports using Tableau / ThoughtSpot.
- Utilize Python, Pyspark & SQL query and analyze data, build data transformation pipelines on Databricks.
- Work with business to develop required data models.
- Present complex data in visually appealing ways to aid communication.
- Collaborate with product managers and end users to ideate and iterate solutions.
- Ensure adherence to Analytical solution governance processes.

**Required Qualifications, Skills and Capabilities**:

- Bachelor’s degree and 6+ years of industry experience in a data-related discipline
- Hands-on practical experience with analytical solution design, development, testing, and operational stability, particularly data pipelines for moving/transforming data on Databricks.
- Demonstrable experience with Python and associated data manipulation libraries to describe data
- Advanced SQL (e.g., joins, aggregations, tuning).
- Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
- Strong interpersonal and communication skills and the ability to articulate complex technical concepts to senior audiences in presentations and written communications
- Understanding of Agile technological development methodology

**Preferred Qualifications, Skills and Capabilities**:

- Hands-on experience of Databricks, Tableau & Alteryx
- Excellent problem-solving skills and ability to work with tight deadlines.
- Organization skills, be able to prioritize task based on priority level.

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