Sr Analytics Developer (SQL or Python)

Charles SchwabOmaha, NE
6dOnsite

About The Position

At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s). The Operations Transformation Office (OTO) is responsible for transforming Operational Services into a highly scalable organization, while creating a culture of excellence in how we create shared value for clients, manage risk, cultivate talent, and collaborate with partners across the firm. Within the OTO we are standing up a new Business Insights team and are seeking a strategic-minded manager to join the team. As an OTO Business Insights Manager, your work helps drive decisions and strategic direction for Operations. You support business partners by translating data into meaningful and actionable insights that help baseline initiatives, find opportunities, and solve problems. You gather data from many disparate, technically diverse sources. You prepare and process the gathered data, and then present findings to all levels of the organization. You continually look for opportunities to offer your support in a fast, efficient way, focused on results, seeking out automation and technology to aid you. You are aware of key activities in flight and will ensure coordination across the department and with partners for the data product.

Requirements

  • 2 - 4 years of experience contributing data and analytics support to multiple large, cross-functional projects, with a desire to grow towards technical product ownership.
  • BS/BA degree or higher in mathematics, statistics, economics, engineering, computer science or related is preferred.
  • Strong, demonstrated technical capabilities to work with data - SQL query development, web scraping, Python, Tableau, visual tools/IDEs, and comfort with technology and code.
  • Must be Business-Centric, Data-Oriented, Analytically Minded and Results Driven

Nice To Haves

  • Preference for candidates with an MBA or relevant advanced degree.
  • Strong ability to influence, coach, and mentor others, with demonstrated success in building credibility with peers and leadership
  • Underlying curiosity and interest in the technical aspects of process measurement and improvement
  • Ability to work autonomously, with initiative and a bias towards action.
  • Attention to detail and accuracy
  • Advanced critical thinking skills to scope and frame problems
  • Must be comfortable with a constantly evolving environment and rapidly changing priorities
  • Strong understanding of product metrics such as conversion rates, response rates, ROI, etc.

Responsibilities

  • Finding Data: Partner with system owners, data stewards, and other technology partners to locate and gain access to data. This sometimes involves creating a new path, where you will need to clearly communicate business purpose, needs, and value.
  • Preparing Data: Use tools like SQL, Python, Excel, Business Objects and Tableau to extract, load, transform, aggregate, and visualize data into meaningful analytics deliverables, tables, and reports. Once preparation is complete, establish a way to automate future preparation activities.
  • Measuring Processes: Use a data-driven, data-first approach to understand processes and initiatives, and the key concepts and outcomes that need improvement. Quantify the value of the improvement. Ensure there is data to support process measurement.
  • Communicating Results: Clearly communicate findings with charts, graphs, and other visuals and presentations. Take feedback, iterate, and adjust. Ensure partners have the best understanding and support possible to make informed, high-quality decisions.

Benefits

  • In addition to the salary range, this role is also eligible for bonus or incentive opportunities

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

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