Analytics Developer
Charles Schwab
Your Opportunity 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). At Schwab, you’re empowered to make an impact—on your career, your partners, and the clients we serve. As a Business Analytics Developer within our Retail Sales and Risk Management Analytics team , you’ll act as a trusted analytics partner to leaders across Investor Services, Retail Sales, and Retail Supervision and Risk Management teams. In this role, you’ll sit at the intersection of business strategy, data, and communication —translating complex business questions into actionable insights that drive growth, improve client experience, and support data‑driven decision‑making. You’ll collaborate closely with business partners, product teams, and data colleagues to ensure analytics is engaged early, aligned to priorities, and delivering measurable value. You’ll join a collaborative, inclusive environment where we succeed together as One Schwab , are guided by integrity and service, and are supported to own your tomorrow through meaningful work and continued skill development. In this role you’ll: Serve as a primary data and analytics liaison to Retail Sales and Risk Management business partners—building strong relationships, understanding business priorities, and shaping analytics solutions that drive action. Partner with stakeholders to clarify requirements, define success metrics, and scope reporting and analytics solutions , balancing business impact, feasibility, and delivery timelines. Design, build, and maintain business intelligence dashboards and reporting that provide clear visibility into performance, trends, and opportunities using modern BI tools (e.g., Tableau, Power BI). Translate analytical findings into clear, compelling narratives tailored to leaders and cross‑functional partners, enabling confident, data‑driven decisions. Develop and maintain SQL‑based data queries and data sets , ensuring accuracy, consistency, and alignment with enterprise data standards. Collaborate with data engineering, governance, and analytics peers to deliver scalable, well‑governed solutions that integrate across teams and systems. Proactively identify trends, risks, and opportunities, bringing insights forward—often before they’re requested—to support strategic and operational decision‑making. What you have Required Qualifications Bachelor’s degree in a quantitative or business‑related field (or equivalent practical experience). 3+ years of professional experience business intelligence, analytics, or data analysis , with demonstrated success supporting business partners in a consultative or liaison capacity. Strong relationship‑building and communication skills , with the ability to listen, influence, and adapt messaging to different audiences. Proficiency in scripting languages, such as SQL, Python, etc. and experience translating business questions into structured data queries and analyses. Experience developing and maintaining dashboards and reports using business intelligence tools (e.g., Tableau, Power BI). Strong analytical and problem‑solving skills, with attention to detail and a focus on delivering actionable outcomes. Ability to manage multiple priorities in a dynamic, cross‑functional environment while maintaining strong partner trust. Preferred Qualifications Experience supporting Retail, Sales, or Client Service organizations within financial services. Familiarity with cloud data platforms or enterprise data environments (e.g., BigQuery, Oracle). Experience partnering with product, technology, or data engineering teams in a matrixed organization. #J-18808-Ljbffr Charles Schwab
- ...location(s). At Schwab, you’re empowered to make an impact—on your career, your partners, and the clients we serve. As a Business Analytics Developer within our Retail Sales and Risk Management Analytics team , you’ll act as a trusted analytics partner to leaders across...SuggestedWork at office
- ...g. Engineering, Computer Science, etc.). ~5+ years of experience in implementing data solutions in data analytics space ~1-2 years of experience in developing data applications in Cloud (AWS) ~ Extensive experience in Object Oriented Programming (Java, Scala, Python...Suggested
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- ...accordance with established governance and naming conventions. • Develop and implement data transformation and loading process to... ...existing data model and develop the data objects. • Excellent analytical and problem-solving skills. • Ability to work independently...Suggested
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$92k - $130k
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$136.28k - $158.7k
...site in either Plano, TX or Raleigh, NC. Key Responsibilities: Support and manage Power BI at the enterprise level, enabling analytics across 20+ business units. Act as a first responder for Power BI dashboard issues and framework-level escalations. Maintain...Temporary workWork at officeRemote workRelocationFlexible hoursShift work- ...Summary Greystar's D²AI organization (Data, Digital, and AI) is responsible for the platforms, processes, and practices that power analytics and AI across the company. This role sits on Decision Intelligence, the team within D²AI that turns that capability into better...
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- ...and deploy equity option and exposure models for financial risk analytics, focusing on margin and trading data.Lead the management and... ...maintenance of retail trading data sets.Collaborate with internal developers and architects to connect models with core banking platforms...Full time
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$50 - $80 per hour
...with our Principal Data Engineers to keep pipelineshealthy, resolve bugs, and deliver well-modeled, trusted data for reporting and analytics. You’llspend most of your time writing SQL and Python, designing and optimizing database models,and helping ship projects that...Contract workTemporary work- ...experience in software engineering, data engineering, or enterprise application development.10+ years of hands-on experience designing, developing, and delivering enterprise-scale data integration and data engineering solutions.Advanced experience with Snowflake, Python,...Full timeWork at office
- ...technical/business acumen and lead experience that excels in a structured, dynamic, fast-moving environment and is passionate about developing high quality, high performance, and scalable solutions. The candidate will lead and work aside a team of seasoned engineers whose...
- ...programming languages like Python, Spark and good understanding of cloud technologies. Be prepared to share an example of how you design and develop a solution to a business problem (real or hypothetical for more junior candidates). What You'll Do Every day you...
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