Design, develop and support Tableau implementations and dashboards. Analyze data using SQL/Oracle, troubleshoot issues, automate processes, identify compliance/operational risks, collaborate with agile teams, and own delivery from requirements through deployment. Requires strong communication, time management, and typically 5+ years' experience.
Position Summary:
- Develop and support multiple Tableau implementations as part of the Portfolio Management, Governance and Delivery team.
- Will be required to investigate, analyze and setup automation to maximize efficiency for existing business process.
- Must be able to troubleshoot and find root causes of any issues and provide resolution.
- Identify, aggregate, report and escalate compliance and operational risks, issues and control enhancements.
- May involve diverse development platforms, software, hardware, technologies and tools.
- May collaborate with multiple agile teams to coordinate delivery of reporting
- Take initiative and research any issues using multiple bank systems.
- Take ownership of the use cases and own the delivery till the end.
- Candidate will participate in daily stand-ups, ceremonies, etc.
- Must be self-motivated and possess excellent written and verbal communication skills.
- Must have ability to work well under pressure, have good time management skills, able to problem solve, and ability to multi-task
- Typically requires 5+ years of experience.
Required Skills:
- Skilled in Tableau Development and advanced dashboard building
- Skilled in Tableau 2020 or latest version
- Skilled in writing complex queries using SQL Server Oracle in analyzing the data
- Excellent data analysis and data profiling skills using SQL Oracle
- Very good understanding of data and relationship concepts
- Works under minimal supervision on data analysis and data quality support functions
- Ability to lead the Tableau implementations working closely with the team
- Team player
Desired Skills:
- Tableau 2020 or latest, SQL/Oracle, T-SQL, PL/SQL, Jira, MS Word, PowerPoint, Excel, Tableau certification
Primary Skills
- Tableau
Secondary Skills:
- MemSQL
Compensation, Benefits and Duration
Minimum Compensation: USD 44,000
Maximum Compensation: USD 154,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Photon San Francisco, California, USA Office
San Francisco, United States
Similar Jobs
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead modernization of General Motors’ embedded-software build infrastructure by migrating legacy Make and shell workflows to Bazel. Design reusable rules, toolchains, platforms, and repository standards; integrate build systems with CI/CD, testing, release, security, and artifact workflows; and improve reproducibility, performance, reliability, and developer productivity. The role also involves mentoring engineers, guiding strategy, measuring migration outcomes, and evaluating AI-enabled engineering workflows.
Top Skills:
BazelCi/CdCross-CompilationEmbedded SystemsFirmwareMakePythonShellSoftware-Defined VehiclesToolchains
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Provides field-based automotive diagnostic, repair, and technical support to GM dealerships. Resolves escalated vehicle issues, supports potential repurchase cases, evaluates dealership service readiness, trains dealer personnel, manages dispatch cases, and communicates product-quality findings to GM engineering and service teams. The role also supports warranty-cost reduction, dealer comeback processes, customer relationships, arbitration matters, and technician recruitment while traveling frequently throughout the assigned territory.
Top Skills:
Automotive Diagnostic EquipmentLan/WanMS OfficePicoscopeTechline Diagnostic Tools
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Leads enterprise engineering platforms for embedded software, simulation, and cloud workloads. Designs CI/CD, GitOps, Kubernetes, Terraform, progressive delivery, observability, security, and compliance architectures. Establishes branching, release, quality, and engineering standards across teams while improving productivity, release confidence, and product quality. Mentors DevOps and simulation developers and provides hands-on technical leadership for complex, safety-critical software environments.
Top Skills:
AspiceAutosarAWSAzureCi/CdFmuGCPGitopsHilIso 26262KubernetesMisraSilSspTerraformVecu
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
