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Senior Data Analyst

  • Location: San Francisco, Contingents Remote
  • Job Type:Contract

Posted 4 months ago

Contract Opportunity with a FULL suite of benefits!

Position: Data Analyst (Remote)
Location: San Francisco, CA - Remote
Term: 6 months
Day-to-Day Responsibilities:
  • Run ad-hoc analysis for Product and Business Managers using standard query languages and operationalize for repeatable use via Tableau reporting suite.
  • Code and modify SQL/ETL based on dashboard requirements.
  • Maintain validation of business rules, documentation and distributions to proper stakeholders.
  • Train and educate co-workers on data analysis and best practices.
  • Participate in design and delivery of curriculum related to rollout of new reports and dashboards to drive adoption and to enhance business decision-making capability.
  • Work closely with Product and Business teams to understand business requirements and perform data analysis
Is this a good fit? (Requirements):
  • Bachelor of Art or Bachelor of Science in Management Information Systems, Mathematics, Computer Science, or Engineering.
  • 8+ years of experience writing advanced SQL, performance tuning of BI queries, data modeling, and data mining from multiple sources (SQL, ETL, data warehousing).
  • Knowledge of Private Wealth Management/Investment Management – with ability to interpret definitions and calculations from business language to developer logic.
  • Experience with portfolio management and related reporting.
  • Experience using business intelligence reporting tools like Tableau, Power BI.
  • Expertise with Data Analytics best practices.
  • Strong foundation in data analytics, an understanding and foundation in data science.
  • Strong visualization design and development experience with Tableau (and other Business Intelligence tools).
  • Expert in writing SQL.
  • Excellent attention to detail and experience debugging code.
  • Proven track record of delivery for business-critical BI/Analytics projects.
  • Ability to operate with cross-functional teams.
  • Strong quantitative and analytical skills - ability to quickly analyze data to identify key insights and apply them to the business.
  • Clear, high-level understanding of complex data models and software integration/delivery.
  • Excellent communication skills, including ability to present effectively to both business and technical audiences at all levels of the organization.
  • Proven leadership capabilities.
Even better if you have:
  • Exposure to statistical modeling experience (R, SAS, SPSS).

About our client
Founded in 1985, our client and its subsidiaries offer private banking, private business banking and private wealth management, including investment, trust and brokerage services. Join a team that continues to make significant investments in its digital solutions, including upgrading our consumer-facing technology.