Top Remote Data Analyst Jobs in San Francisco Bay Area
As a Business Intelligence Analyst, responsible for gathering metrics requirements, developing SQL queries, designing Business Intelligence solutions, and analyzing product platform data.
The Staff Data Analyst will join the analytics team at Cash App Compliance to transform the organization into a data-driven Compliance entity. Responsibilities include building databases, designing dashboards, defining metrics, reporting on compliance demands, uncovering insights, collaborating with cross-functional teams, and communicating recommendations.
Data Analyst role at CrowdStrike focusing on analyzing data from data warehouse to support business decisions. Requires 5-7+ years' experience in assembling and querying large data sets, proficiency in SQL, Python, and cloud databases, and strong data analysis and communication skills.
As a Data Analyst at Doximity, you will leverage extensive datasets to identify behavioral patterns of medical professionals, create analytics for products and clients, and collaborate with cross-functional teams on data projects. Must have at least 2 years of experience, strong SQL skills, proficiency in Python data analysis libraries, and prior exposure to distributed data processing concepts.
Senior Staff Data Analyst role at Achieve, involving conducting large scale analyses, producing forecasts, interacting with multiple teams, building processes and dashboards, and collaborating with Data Science and Data Engineering teams. Requires 8+ years of experience in financial services, advanced SQL skills, and a Bachelor's degree in a quantitative field.
Join the Open Exchange Data Team as a Data Analyst III to drive the success of the real estate brokerage team by designing KPIs, performing in-depth analysis, ensuring data integrity, and empowering team members with BI tools.
As the Principal Data Analyst, you will be responsible for using data to drive insights in the Sales and FP&A departments. You will have the opportunity to build new data assets, automate analyses, and create visualizations.
The Senior Talent Acquisition Data Analyst at Toast will optimize Talent Acquisition processes and systems through data analysis and reporting. Responsibilities include building dashboards, providing strategic support, and identifying areas for improvement. The ideal candidate will have a Bachelor's degree in a related field, 3+ years of experience in Business Intelligence or Data Analysis, and proficiency in SQL, Excel, and Tableau.
Featured Jobs
Analyzing marketing campaign performance, implementing measurement strategies, and delivering insights for business growth. Partnering cross-functionally to drive acquisition and customer value growth.
Sr. Data Analyst role at Instacart supporting Fulfillment, Inventory, and Strategic teams. Responsibilities include delivering insights, ad hoc analyses, building business cases, analyzing data, and maximizing sales. Expertise in SQL, dashboarding, and statistical modeling required.
Business Intelligence Analyst role focusing on data analysis, Tableau visualization, and delivering impactful technical data warehouse solutions. Requires 8+ years of experience in data analysis and analytics with expertise in SQL, Tableau, and data querying.
The Senior Data Analyst at Integral Ad Science will be responsible for monitoring and uncovering new threats in the digital advertising ecosystem. They will analyze and investigate impression level data, write research reports, and drive publication of noteworthy stories. This role requires strong data analysis and mining experience, as well as expertise in ad tech and familiarity with threat tracking and reporting. Strong SQL and Python skills are required, as well as the ability to synthesize technical information and communicate both qualitatively and quantitatively.
Sr. Data Analyst II role at Instacart focusing on identifying opportunities in Fraud and driving improvements across the company. Responsibilities include developing strategies for reporting, analyzing business performance, and communicating insights to stakeholders.
Seeking a Sr. Data Analyst to support Lifecycle Marketing and Journey Orchestration, responsible for data analysis, campaign optimization, cross-functional collaboration, and market research. Must have a Bachelor's degree in Business, Marketing, Statistics, Data Science or related field, with at least 3 years of experience in data analysis and proficiency in SQL, Excel, and data visualization tools.
Seeking a Portfolio Data Analyst to integrate client portfolio investment data into a portfolio management platform, collaborate with various teams, and drive innovative data solutions. Salary range: $64,000 - $100,000 annually.
Work as a Business Intelligence Analyst at Doximity to analyze healthcare data and provide insights to improve healthcare. Collaborate with teams to create client-facing analyses, automate code, and leverage extensive datasets. Must have 3 years of experience, excellent SQL and Python skills, and fluency in data analysis tools.
The Business Intelligence Analyst at Check will be responsible for developing and maintaining data models, extracting insights from data, and collaborating with various stakeholders to drive business impact through data-driven decision-making. The role involves working with key financial and business metrics, maintaining analytics infrastructure, and partnering with teams across the company.
Responsible for aligning client data strategies to their business strategy, choosing platforms, defining data needs, and migrating to modern cloud data environments. Lead efforts in creating trusting relationships with business stakeholders, developing digital accelerators, and leading business development efforts. Demonstrate thought leader-level abilities in designing and implementing data & analytics capabilities.
Manage Data and Analytics services to help organizations uncover insights and drive results. Align client data strategies with business goals and migrate to modern cloud data environments. Lead teams in solving complex business issues and develop trusting relationships with stakeholders.
Partner with Cash App Health org to analyze large datasets, derive actionable insights, design A/B experiments, and drive strategic decisions to improve customer experience. Build and report on metrics, create data visualizations, and communicate effectively with stakeholders.
Senior Business Intelligence Analyst role at CrowdStrike, responsible for developing impactful technical data warehouse and BI solutions. Requires expertise in data analysis, Tableau visualization, SQL, and working with complex data sources.
Check is looking for a Business Intelligence specialist to be responsible for analytics and data insights, partnering with stakeholders to drive business impact. The ideal candidate is technical, business-oriented, and thrives in ambiguity. Responsibilities include data stewardship, decision-making based on data analysis, maintaining and improving analytics, monitoring key metrics, and collaborating with various teams. Ideal candidates should have experience in data modeling, analytics infrastructure scaling, KPI definition, marketing analytics, and tech-stack maintenance.
The Intelligence Analyst for RFI Triage at CrowdStrike will be responsible for responding to customer Requests for Information (RFIs), collecting and synthesizing intelligence, collaborating with teams, and supporting process improvements in a fast-paced environment.
Responsible for defining and driving data governance within the Finance organization. Partnering with leaders and process owners to implement data policies and standards. Developing strategies to ensure data accuracy and quality through automation and maintenance of data dictionary.
Develop and test pricing strategies across different consumer lending products, optimize profitability, forecast changes to customer credit portfolio, build reporting pipelines and dashboards, manage data architecture, build analytical models, run tests and discover trends in customer behavior, present analyses to business leaders, develop and improve pricing models using machine learning algorithms, monitor model performance, interact with engineering teams for model deployment.
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