Partners with clients and internal teams to analyze complex datasets, develop measurement strategies, conduct research and statistical analyses, and deliver actionable insights. Creates reports, dashboards, and recommendations supporting sales, marketing, optimization, and go-to-market decisions. Leads research and measurement activities, tracks market trends and KPIs, communicates findings clearly, and stays engaged with program operations through meetings and field ride-alongs.
The Client Data Analyst II (analyst) position is responsible for partnering with our clients and teams to drive their initiatives with strategy, analytics and actionable insights, optimizing program measurement to drive field team success, and constantly engaging with the team to better understand where they can have the greatest impact. The analyst will leverage business and market relevant information to make data-driven decisions that allow Mosaic to achieve its sales and marketing objectives and quickly adapt tactics. The analyst will play a key role in evolving, leading, and growing the data-driven discipline within the program they support.
Responsibilities- Collect, inspect, cleanse, transform, model and diagram of complex data sets
- Daily use of various business intelligence and analytical software tools
- Interpret data, formulate reports, and make recommendations to the team
- Lead the standardized measurement strategy for clients and team leaders
- Design or collaborate on specific research methods such as questionnaires and market testing approaches (A/B testing, multi-variate, etc)
- Use statistical analysis to understand the key drivers of the business and provide recommendations for optimization and go-to-market strategies
- Compile data into professional reports that support both findings and recommendations quantitatively and qualitatively. Clearly articulate compelling business insights and actions with data and context
- Remain fully informed on market trends, other parties’ research and implement best practices, with a willingness to evolve and grow skillset
- Remain fully engaged in the program, understanding strategic vision, key performance indicators, and the day-to-day tactical activities
- Regularly attend client and internal team meetings, and in-field ride alongs to stay in tune with program activities
- Other assigned duties
- Remain fully informed on latest marketing and data trends, practice, and process
- 3-5 years of related work experience
- 1-2 years of project management experience
- Intermediate (advanced is ideal, not required) Microsoft Excel or Google Sheets skills including formulas, pivot tables, V-look-up
- Intermediate statistical analysis skills
- Experience with SPSS, Python, R, or other stats software
- Intermediate PowerBI, Tableau, or Looker skills; other data visualization platform skills a plus
- Ability to tell a relevant, powerful story with data that matters to clients
- Ability to lead research activities including developing a plan, collecting data, and taking action
- Ability to execute standard measurement strategies within a project
- Strong analytical and critical thinking with the ability to disseminate insight from large datasets
- Develop understanding of all areas phases of Mosaic business to find new opportunities for insights, measurement, and analytics
- Proven ability to timely complete projects and achieve results in an ambiguous work environment
Similar Jobs
Consumer Web
Partners with clients and internal teams to develop data-driven strategies, measurement approaches, reports, and actionable insights. Collects, cleanses, transforms, models, and analyzes complex datasets using business intelligence and statistical tools. Leads standardized measurement, research, testing, and optimization initiatives, communicates findings through compelling reports, and supports sales and marketing objectives through market analysis and recommendations.
Top Skills:
Google SheetsLookerExcelPower BIPythonRSpssTableau
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.
Top Skills:
AWSAzureDatabricksDbtDelta LakeGCPGraphQLLlmsPower BIRagRestSnowflakeSnowflake Unity CatalogTableau
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Design, build, test, and optimize scalable control-plane and data-plane software for cloud networking products. Develop APIs, improve performance, reliability, monitoring, and customer experience, while supporting products end to end. Collaborate across teams, establish engineering and architecture best practices, automate delivery processes, and mentor engineers. The role requires strong Go and distributed-systems experience, networking knowledge, cloud and containerization expertise, and familiarity with technologies such as eBPF, XDP, Kubernetes, and gRPC.
Top Skills:
ChefCi/CdConsulDnsDockerEbpfGitGoGrafanaGrpcJIRAKafkaKubernetesLightstepPrometheusSQLTemporalVirtualizationXdp
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



