Data Analyst Salary at Meta Co BETA

Title:Data Analyst II, Req# 35905890 Location: Remote (But should be local to SF Bay Area) (Might need to come to office occasionally Contract: 12 Month Job Description: Client Retail is looking for an experienced Data Analyst to join its Retail Marketing and Engagement team. This position will be responsible for building dashboards to report on REM Programs and KPIs across all strategy functions including Marketing, Customer Engagement, Learning and Comms The position will work closely with the Marketing and Programming teams to help make data driven decisions. This is an excellent opportunity to join a growing team in an exciting area of client Retail. Key Responsibilities •Create analytics plan to support Marketing and Programming teams •Build and maintain dashboards aligned with KPIs and strategy goals •Develop robust data visualizations that will help to quickly and thoroughly answer commonly asked questions about the performance of our content •Identify data anomalies, work to ro

Role : Sr Data Analyst Local to Mountain View CA Location : Mountain View CA (100% Onsite) 5 Days onsite 8+ years of experience Python SQL ETL Data Warehousing AWS (S3) Athena, Redshift Good to have- Qliksense/Tableau/Quick Sight(Not mandt but good to have) 7-10 years of experience working in product, customer, or other related analytics function Highly proficient , SQL, Tableau, and Excel. Working knowledge in Python Strong analytical and problem-solving skills: able to develop and use structured approaches to identify root causes and recommend resolutions: can present results in meaningful terms Ability to narrate complex stories with data and be concise in the insights and how they drive outcomes with leadership and stakeholders. Ability to manage multiple projects simultaneously to meet objectives and deadlines. Proactive and inquisitive learner seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances. Strong organizatio

TITLE: PMO Data Analyst LOCATION: Hybrid in Cupertino, CA ANTICIPATED DURATION: 12 months We are seeking a highly analytical and detail-oriented PMO Data Analyst to join our team. This role will be responsible for analyzing and managing a portfolio of projects, focusing on strategic planning, resource allocation, and performance monitoring. The ideal candidate will be proficient in data visualization tools such as Tableau, scripting, and spreadsheet calculations to interpret data and provide actionable insights. PMO Analyst Responsibilities: Analyze a large portfolio of projects to ensure alignment with business objectives. Develop reports and dashboards using Tableau and spreadsheets to communicate project performance. Interpret complex datasets to identify trends, risks, and opportunities for improvement. Collaborate with cross-functional teams to support strategic planning and resource allocation. Monitor project performance metrics and provide insights to enhance decision-making. U

Growth Marketing Data Analyst Location: Hybrid in Cupertino, CA Duration: 12 months to start Pay: up to $77/hr, DOE (W2 and benefit options) Planet Interactive is looking for a Growth Marketing Data Analyst to join our well-known Fortune 500 client on a 12-month contract in Cupertino, CA. The Growth Marketing team works directly with cross-functional teams to measure and monitor operational performance, conduct ad hoc analysis, and support strategic projects. Their day-to-day work involves a data-rich environment, accessed by Python and SQL to lead exploration and understanding of the teams' reach and capabilities. The ideal candidate is a curious self-starter with strong communication and presentation skills. Candidates should have an analytic mindset, able to set priorities and organize work to meet strict deadlines in a fast-paced environment Growth Marketing Data Analyst Responsibilities: Develop deep understanding of services, including business model, data, strategies, and KPI’s

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Job Title: Sr. Data Scientist Job Description: Utilize quantitative analysis to understand business drivers and conduct analytics experiments for hypothesis testing. Leverage statistical techniques to provide business recommendations and insights into marketplace dynamics and user behaviors. Collaborate with engineering on logging implementation and monitoring, influencing business decisions through collaboration with product and business partners. MINIMUM REQUIREMENTS: Master's degree in Mathematics, Statistics, Information Systems Management, Computer Science, or related field. 3/4 years of experience in Data Science or Analytics, or a Bachelor's degree with 5+ years of experience. Proficiency in SQL, A/B testing, dashboards, and Python.

Staff Product Analyst Location: San Francisco (Remote Eligible) Salary: $200K–$240K base + Equity We’re hiring a Staff Product Analyst for a hyper-growth, Series E AI company valued at $3B+. This is an opportunity to play a key role in shaping product strategy and growth by leveraging data to drive decisions, optimize user experiences, and unlock new opportunities. What You’ll Do: Shape product strategy with data-driven insights – Define key metrics, track user behavior, and identify trends that impact engagement and retention. Deep-dive into user journeys – Uncover friction points and growth levers to enhance adoption, conversion, and retention. Optimize experimentation and A/B testing – Design and analyze tests to improve product features, pricing, and personalization strategies. Develop self-service analytics tools – Build dashboards and automated reporting to empower teams with real-time data. Partner with Product, Engineering & Leadership – Translate complex data into clear, actio

Staff Product Analyst Location: San Francisco (Remote Eligible) Salary: $200K–$240K base + Equity We’re hiring a Staff Product Analyst for a hyper-growth, Series E AI company valued at $3B+. This is an opportunity to play a key role in shaping product strategy and growth by leveraging data to drive decisions, optimize user experiences, and unlock new opportunities. What You’ll Do: Shape product strategy with data-driven insights – Define key metrics, track user behavior, and identify trends that impact engagement and retention. Deep-dive into user journeys – Uncover friction points and growth levers to enhance adoption, conversion, and retention. Optimize experimentation and A/B testing – Design and analyze tests to improve product features, pricing, and personalization strategies. Develop self-service analytics tools – Build dashboards and automated reporting to empower teams with real-time data. Partner with Product, Engineering & Leadership – Translate complex data into clear, actio