Data analyst internship jobs in San Pablo, CA - 825 jobs

What is Findem: Findem is HR 2.0. We're a fast-growth startup with an ambitious vision and the technology to back it up. Our People Intelligence platform uses true AI and machine learning to provide critical solutions for talent acquisition and people analytics functions. With the deep insights that our platform provides, companies can build more engaged and diverse teams, and close their talent gaps faster. We have an amazing opportunity to establish ourselves as leaders in this space, and we need strong advocates to help us achieve that goal. We're backed by top-tier investors including Wing Venture Capital - the same firm that backed Snowflake, Cohesity, and Gong. Findem powers businesses across scaling, pre-IPO, and publicly traded companies who trust us to solve their biggest HR and Talent challenges. We have an incredibly skilled and collaborative team that values curiosity, diversity, openness and building great experiences every day for our customers. Our PM team tends to attract scrappy, collaborative, high-ownership, customer-driven innovators. Emojis, jokes, and pet pictures flow freely in our Slack. Why We Need You: We're looking for a seasoned Staff Data Analyst to lead company data cleanup efforts across Engineering and Research, taking feedback from Product/ESP/IA and integrating that into company cleanup by prioritizing segments and features of companies that are most relevant to our customers and most in need of cleanup until we have the most accurate and comprehensive company data in the industry (including from AI-derived sources). What You'll Do: Identify and evaluate opportunities to improve data quality across the organization, proactively determining the most efficient strategies for data cleanup and optimization Develop creative solutions to resolve complex data issues, applying analytical judgment to balance effort, impact, and business value Direct Research projects to uncover opportunities and drive progress on cleanup Prioritize Engineering efforts and track results over time to meet deadlines Leverage expert-level proficiency in Python, SQL, and NoSQL to transform, cleanse, and extract data, delivering accurate and well-structured datasets for both technical and non-technical stakeholders Translate complex data findings into clear, actionable insights for diverse audiences. Maintain high standards for data governance, quality assurance, and documentation. Your Working Experience: 8-12 years of escalating levels of responsibility in a role blending data analytics and operations at a management consulting firm or large SaaS company SQL/NoSQL/Python for data extraction @ expert level Spreadsheet-based workflows @ expert level Data visualizations Able to structure work at program level, independently managing toward a goal Project management across Research, Engineering, Product Data cleansing/debugging/RCA with messy data Benefits & Perks: Competitive base + performance-based compensation Unlimited PTO Generoushealthcare coveragefor you and your family Home office and productivity setup stipend Professional development budgetand executive coaching access Equity grants that align your success with ours $140,000 - $160,000 a year Our compensation range reflects the cost of labor across multiple U.S. geographic markets. The base salary for this role is listed below by location, and the exact amount offered will depend on your skills, experience, and work location. Tier One Markets (SF, NYC, Seattle): $150,000 - $160,000 per year All Other Remote US: $140,000 - $150,000 per year We're an Equal Opportunity Employer We believe that a diverse team builds better solutions. We're committed to creating an inclusive environment for all employees and welcome candidates from all backgrounds, experiences, and perspectives. Ready to build something impactful and lead a team to success?Apply now and let's grow together. #J-18808-Ljbffr

A leading financial technology firm is seeking a Trust & Safety Product Analyst in San Francisco to develop and scale member banking experience products. The role involves analyzing user behavior, collaborating cross-functionally, and providing insights to enhance security awareness. Ideal candidates will have 3-5 years of experience in data roles, strong SQL expertise, and familiarity with BI tools like Looker or Tableau. Competitive salary ranges from $112,140 to $155,800, with attractive benefits. #J-18808-Ljbffr

A data intelligence company is seeking a Data Analyst to unlock the potential of data assets and collaborate with engineers. Responsibilities include aggregating data for product development, generating visualizations, and communicating results to stakeholders. Ideal candidates will hold a Bachelor's degree, have 2-4 years of experience in an analyst role, and be proficient in SQL. The position offers a competitive salary range of $90,000 - $120,000 per year and comprehensive benefits. #J-18808-Ljbffr

HockeyStack is an Applied AI company on a mission to automate sales, marketing, and customer success for B2B companies. We build the most complete and accurate picture of the B2B buyer by integrating with every tool your team uses, partnering with third-party data providers, and deploying custom AI research agents. We use this data to power applications that automate high-value, high-complexity workflows across the go-to-market and revenue teams. Our core products include: Marketing Intelligence - instantly answers questions like “What led to that sudden drop in pipeline?” Account Intelligence - surfaces next-best actions to help reps move target accounts toward conversion Since launching in January 2023, we've come through Y Combinator, raised a $26M Series A led by Bessemer. We're growing 3× year-over-year, have hit multimillion ARR, and process over 60 TB of GTM data monthly. Based at our San Francisco HQ, we operate fully in-person, move fast and hire people who are ready to win. 🚀 Your Mission We are seeking a customer-focused Data Analyst to help our clients answer their most important business questions around GTM revenue performance and marketing spend optimization. This is not a heavy data-engineering role; instead, you'll use HockeyStack's platform and available data to guide customers toward impactful insights and recommendations. 🔧 What You'll Do Partner with customers to solve their revenue goals, challenges, and questions. Use HockeyStack's platform to uncover insights and deliver clear, actionable recommendations. Translate complex metrics into straightforward explanations for non-technical audiences. Be the Data Partner to support Customer Success Managers in delivering strategic guidance to clients. Identify patterns and trends in marketing and sales data to advise customers on where to focus efforts. Collaborate with internal teams to continuously enhance the customer experience. 🧩 Core Strengths Business Insight: Ability to connect data to revenue outcomes and business strategy. Customer Orientation: Skilled at understanding client goals and delivering value through insights. Analytical Thinking: Comfortable framing and answering complex questions with data-driven logic. Clear Communication: Able to translate analytics into simple, impactful recommendations. 🧬 What We're Looking For Ownership-first mindset - you take initiative, move fast, and figure things out Thrive in early-stage, high-urgency environments where speed and impact matter Curious, self-aware, and feedback-driven - you bring energy, not ego See this role as a defining chapter - not a stepping stone or side quest Bachelor's degree in Mathematics, Statistics, Data Science, Applied Economics, or a related field. 1-3 years of experience in Data Analytics or Consulting with Analytical focus. Strong preference for candidates with Marketing Analytics or GTM/Sales Analytics Experience. Strong problem-solving skills with the ability to structure and answer key business questions. Excellent communication skills to convey data-driven insights to senior stakeholders. Familiarity with SaaS, B2B marketing, or revenue analytics is a strong plus. Ability to think strategically and recommend actions based on data, without needing to deep-dive into raw datasets. ✨ Why Join Now? We're at an inflection point. The product is proven, the market is massive, and the opportunity is wide open. You'll be joining a company with real traction, rapid growth, and meaningful backing-where every person still shapes the outcome. This isn't just a job. It's a chance to build something category-defining with people who care deeply about doing it right. We're building a high-performing, culture at our San Francisco HQ, where the team collaborates shoulder-to-shoulder. While that's our standard for most roles, this position is uniquely flexible-offering remote options for exceptional candidates based in the U.S. or internationally, as long as you're fully available during U.S. business hours. The base salary range for this role is $40,000 to $120,000 USD, adjusted for location, experience, and qualifications. HockeyStack is proud to be an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other legally protected status. We celebrate diversity and are committed to fostering an inclusive environment for all employees. #J-18808-Ljbffr

Type: Full-Time Compensation: Competitive salary + early-stage equity Backed by 8VC, we're building a world‑class team to tackle one of the industry's most critical infrastructure problems. About the Role We're building an AI‑native platform where industrial data becomes actionable through semantic enrichment, intelligent agents, and governed interoperability. At the heart of this architecture lies our Data Fabric - an intelligent, governed layer that unifies fragmented and siloed data streams into knowledge graphs ready for high context decision‑making and agentic execution. The Data Partnerships Analyst will be on the front lines of this strategy: researching, evaluating, and supporting partnerships with leading data providers (trade, compliance, entity mapping, financial, ESG, geopolitical, etc). You'll play a critical role in mapping data ecosystems, structuring partnerships, and ensuring Fabrion's platform is powered by the most complete, high‑quality, and strategically differentiated data. This role is ideal for someone with sharp analytical skills, a curiosity for data‑driven businesses, and a strong interest in how AI and partnerships intersect to transform global value chains. Responsibilities Market Landscaping & Research: Identify, track, and evaluate relevant data providers across global markets. Deal Support: Assist in structuring partnership discussions, including preparing briefs, evaluating contract terms, and surfacing risks or dependencies. Data Evaluation: Assess sample datasets for coverage, quality, refresh frequency, schema design, and interoperability with Fabrion's knowledge graphs. Partnership Pipeline: Maintain CRM‑style tracking of outreach, engagements, and deal status across priority providers. Competitive Intelligence: Benchmark competitors' data strategies and build landscape views of potential threats and opportunities. Cross‑Team Collaboration: Work with product, engineering and legal teams to translate data partnership requirements into technical and contractual frameworks. What We're Looking For Core Experience 3+ years experience in research, consulting, corporate strategy, business development or partnerships. Experience in the automotive industry, particularly at an OEM and/or Tier 1 supplier, is a huge plus. Strong analytical skills; comfort with messy datasets, Excel/Sheets, and SQL/Python basics. Excellent communication and synthesis skills - able to distill complex market landscapes into crisp takeaways. Exposure to B2B SaaS, data vendors, or enterprise technology ecosystems preferred. Mindset Systems thinker: curious about how fragmented datasets connect into real‑world decision and execution systems. Comfortable navigating ambiguity and building processes from scratch. High ownership: proactive, organized, and reliable in pushing workstreams forward. Excited to work closely with founders and investors in a fast‑paced, high‑stakes environment. Bonus Skills Prior experience evaluating or working with data providers (e.g., S&P, D&B, etc). Understanding of trade data, entity mapping, risk and compliance frameworks (REACH, RoHS, ESG, sanctions). Familiarity with data licensing, APIs, or data feeds. Prior exposure to supply chain, automotive, or industrial domains. Why This Role Matters Our platform's intelligence is only as strong as the data it is built on. The Data Partnerships Analyst helps ensure Fabrion gains early access to the most critical and differentiated data sources. This role gives you direct exposure to startup founders, investors, and senior executives at leading data providers. You'll develop a unique perspective at the intersection of data, AI, and industrial transformation, while shaping the partnerships that power Fabrion's AI agents. If you're excited to map the global data landscape, help secure strategic partnerships, and build the foundation of an AI‑native enterprise platform, we'd love to hear from you! #J-18808-Ljbffr

A leading AI analytics company in San Francisco is hiring a Data Analyst to build and scale its analytics capabilities. The role involves creating dashboards, defining metrics, and collaborating with various teams. Ideal candidates should have strong SQL skills and 3+ years of experience in analytics. This company offers competitive compensation and comprehensive benefits, including health insurance and generous PTO. #J-18808-Ljbffr

A dynamic analytics company in San Francisco is seeking a Data Analyst to join their team. The role involves collecting and analyzing data, generating reports, and collaborating with stakeholders to drive business decisions. Ideal candidates will possess strong analytical skills and proficiency in data analysis tools. This position offers a chance to significantly impact operational efficiency for clients. #J-18808-Ljbffr

A leading SaaS company is looking for a Data Analyst to deliver product insights and drive data-driven decision making. The candidate should have 3+ years of experience and be proficient in SQL, with a solid foundation in data visualization tools. Responsibilities include collaborating with various departments to analyze metrics and optimize products. This role requires excellent communication skills and the ability to simplify complex data for stakeholders. Join us to help shape innovative solutions in the podcast industry. #J-18808-Ljbffr

At Neuroverse HealthTech, we are revolutionizing workplace wellness with cutting edge solutions that prioritize mental health, inclusivity, and resilience. Founded with a vision to create workplaces where every individual thrives, we empower organizations with tools to detect burnout, foster engagement, and support neurodiverse teams. Our mission is simple yet powerful: to transform workplaces into spaces of care, innovation, and growth by integrating mental health at the core of organizational success. At Neuroverse, our culture is our strength. We are a playground for creativity and collaboration, were diverse perspectives fuel innovation. As a team, we value empathy, inclusivity, and a relentless commitment to learning and growth. Joining Neuroverse means being part of a dynamic environment that encourages big ideas, fosters professional development, and rewards impact. When you grow, we grow. At Neuroverse, we're not just building a business. We are building a movement to redefine workplace wellness globally. Come, be a part of our journey and make a difference where it truly matters. The work: Plans and leads the consultation process for complex research projects to support development and alumni engagement across UBC. Leads and delivers major quantitative research initiatives that identify prospective donors, determine trends, forecast growth opportunities and provide strategic understanding of patterns in alumni and donor behavior. Provides statistical data analysis to support fundraising targets and policy objectives, using regression analysis, time series analysis, predictive modelling and segmentation, machine learning algorithms, text analysis, and spatial analysis. Participates in the development of policies and performance metrics and tracks and reports on results. Demonstrates the impact of performance and focuses on efficient and effective services. Develops and designs methodologies and standards to produce regular statistical reports. Documents all necessary business and technical details related to data analytics outputs, and uses in-house version control and project management tools to track and report on progress. Implements all stages of analytics projects. Contributes to the development of business cases, project plans, status reports, scope, deliverables and timelines related to small to medium data analytics projects Prepares information using data visualization techniques for analytics reports, proposals and presentations for UBC executive, Alumni Association Board, UBC Board of Governors and DAE leadership. Develops self-serve tools such as interactive reports and dashboards to meet the data analytics needs for DAE. Imparts understanding of complex technical ideas and results to non-technical audiences through the effective use of words, infographics and interactive data visualizations. Extracts, cleans, transforms, and synthesizes structured and unstructured internal UBC data and external data. Remain current on DAE s data sources, and ensure integrity, quality, security, and a high degree of usability for data used in analysis and resulting metrics, scores and attributes. Collaborates on the integration of data analytics outputs into CRM, design and delivery of training materials and sessions to DAE staff. Researches and develops current and emerging trends in philanthropy, alumni engagement, higher education and complex data analysis. Liaises and collaborates with other UBC departments and other universities. Qualifications: Bachelor's degree or higher in relevant field in Computer Science or Medical Health Information, or equivalent qualifications/experience At least three years of experience in data analysis, as well as data exploration and presentation Experience with SAS and SQL programming languages Experience working with a variety of information systems and data files, including large and complex files: analysing file structure; using and creating file layouts; and transforming raw data into finished products Experience using advanced Excel features and techniques Familiarity with healthcare data is an asset Ability to self-motivate and work independently, as well as work collaboratively as part of a team Project leadership and management skills Excellent oral and written communication Ability to work under pressure to meet deadlines Knowledge of HIV/AIDS, viral hepatitis, and/or health sciences research is an asset, but not necessary An understanding of epidemiologic research (e.g., study design, bias) is an asset. Job Category: Technology Job Type: Full Time Job Location: Brisbane City Australia Dharamshala HP India London UK San Francisco CA United States #J-18808-Ljbffr

HQ Numeral is building the automation backbone for internet commerce - starting with the painful world of sales tax compliance. We handle everything from registration to remittance, delivering a white-glove service so e-commerce businesses can stay laser-focused on what they do best: growing their products, customers, and teams. We're one of the fastest-growing companies from Y Combinator's W23 batch, backed by top-tier investors including Benchmark Capital. Our team has deep roots from the early days at Stripe, Airbnb, Notion, and other breakout companies - and now we're bringing that same level of craft, speed, and ambition to a space that's long overdue for reinvention. Numeral is small but mighty. Growth is already border-line unmanageable - which means every hire we make now will directly shape the trajectory of the company. If you're excited about joining as an early team member and want the kind of ownership that defines careers, we want to meet you. Mission Running an online business today means wearing a thousand hats - most of them not the reason founders started their company. Our mission is to eliminate the administrative and accounting burdens that distract businesses from doing what they love. We've already helped hundreds of merchants avoid the headache of building giant finance teams just to manage tax compliance. Tomorrow, we're scaling that impact even further: building the automation layer that lets internet businesses stay nimble, compliant, and future-proof. About the role: As a Data Analyst at Numeral, you'll be embedded in the engine room of our operations-playing a critical role in reconciling customer data, improving data quality, and making our platform smarter and more scalable. You'll work closely with Engineering, Product, and CX teams to ensure customers have clean, actionable data at their fingertips and smooth onboarding experiences. This is a foundational role with outsized impact. You'll get to shape how we use data across the business - no bureaucratic layers, just real ownership and real outcomes. Responsibilities: Reconcile financial and transactional data from multiple sources to enable accurate, repeatable sales tax filings Normalize customer data across platforms (e.g. Stripe, Shopify, Numeral API) to ensure integrity in tax workflows Partner with Sales, Engineering, Product, and Solutions teams to troubleshoot and resolve onboarding data issues Support our customer-facing teams with ad hoc data questions, investigations, and insights Build internal tooling and processes to streamline reconciliation and improve onboarding throughput Improve the fidelity and performance of our DBT pipelines and help evolve our broader data architecture Qualifications: Proficient in SQL and Excel / Google Sheets Strong analytical and pattern recognition skills across large, messy, or multi-source datasets Experience reconciling financial or transactional data (ideally in an e-commerce or payments environment) Strong problem-solving skills and ability to operate with autonomy in fast-moving environments Clear communicator with high attention to detail and a collaborative mindset Bonus Points For: Experience with DBT or similar ETL frameworks Familiarity with Stripe, Shopify, Fivetran, Parquet, S3, DuckDB Comfort navigating REST APIs and programmatically transforming data (e.g. Python or other scripting languages) Prior exposure to tax, compliance, or accounting-related data A background in operations, finance, or technical customer success Why Join Us? Be a core builder in an ambitious, globally minded startup. Learn hands-on how to scale international compliance systems. Work across functions and with leadership early in your career. Make a visible impact immediately through enablement and operational design. Enjoy a flexible, remote-first culture with strong mentorship and ownership opportunities. #J-18808-Ljbffr

A healthcare solutions company seeks an Analyst in San Francisco. You'll analyze healthcare data, build dashboards, and provide actionable insights to leadership. Ideal candidates have 2+ years in analytical roles and should be proficient in SQL and Excel. This position offers the chance to make a significant impact as the first analyst in a fast-paced environment, with opportunities for growth and innovation in consumer healthcare. #J-18808-Ljbffr

A data management company is looking for recent graduates with a chemistry or material science background to help structure customer datasets. The role involves preparing data for a web platform used by scientists and engineers. Applicants should be interested in software engineering, have proficiency in Microsoft Excel, and coding experience in Visual Basic or Python is preferred. This position offers competitive salary, health insurance, and 401K benefits. Position located in San Francisco, California. #J-18808-Ljbffr

🚀 Hiring: Entry-Level Data Analyst 💼 Experience: 0-2 Years 🕒 Employment Type: Full-Time **Visa - F1 OPT, CPT, H4EAD, TN, GC We are looking for a motivated and detail-oriented Entry-Level Data Analyst to join our growing analytics team. This role is ideal for recent graduates or early-career professionals who are passionate about data, analytics, and business insights. 🔍 Key Responsibilities: Collect, clean, and validate data from multiple sources to ensure accuracy and consistency. Perform exploratory data analysis to identify trends, patterns, and insights. Create and maintain dashboards and reports using tools such as Excel, SQL, Power BI, or Tableau. Assist in developing KPIs and metrics aligned with business objectives. Support data-driven decision-making by preparing ad-hoc analysis and presentations. Work closely with business stakeholders to understand reporting and analytics requirements. Document data processes, definitions, and reporting logic for future reference. Ensure data quality and follow best practices for data governance and security. 🧠 Required Skills & Qualifications: Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, or a related field. Strong understanding of SQL and Excel (Pivot Tables, VLOOKUP/XLOOKUP). Basic experience with data visualization tools (Power BI, Tableau, or similar). Familiarity with Python or R is a plus. Good analytical, problem-solving, and communication skills. Ability to work independently and in a team-oriented environment. ⭐ Nice to Have: Internship or academic project experience in data analytics. Exposure to cloud platforms (AWS, Azure, or GCP). Understanding of databases and data warehousing concepts. 🎯 Why Join Us? Opportunity to work on real-world data projects. Career growth and learning opportunities. Collaborative and supportive team environment.

A data insights company in San Francisco is hiring a Data Analyst to unlock the potential of their data assets. You will collaborate with engineers and scientists to solve problems and deliver impactful insights. The ideal candidate has a Bachelor's degree, 2-4 years of relevant experience, and proficiency in SQL. The role offers a salary range of $90,000 - $120,000 annually and a comprehensive benefits package. This is a great opportunity to make a difference in a mission-driven company. #J-18808-Ljbffr

A financial technology company is looking for a Data Analyst in San Francisco to transform data into actionable insights. The role involves writing SQL queries, building visualizations, and identifying trends to inform product decisions. With experience in SQL and data visualization tools like Tableau, candidates should possess strong analytical and communication skills. An ability to analyze financial data accurately is essential, as the role directly influences company strategy and product roadmaps. Competitive salary range is offered. #J-18808-Ljbffr

We are seeking a Data Analyst to join our team in San Francisco. The successful candidate will be responsible for analyzing data to help drive business decisions and improve operational efficiency. Collect, process, and analyze data from various sources. Generate reports and visualizations to present findings. Collaborate with stakeholders to understand their data needs. Identify trends and patterns in data to inform strategy. Qualifications A strong analytical mindset, proficiency in data analysis tools, and excellent problem-solving skills are required for this position. How to apply Please fill out your details and answer the various questions in this application form. A company is nothing without its people. We attract great people who always want to learn and improve both themselves and their team. By getting 1% better every day we provide the best possible service & results for our clients. We are a team of world-class ads experts, enabling Amazon brands and aggregators to achieve the best possible results. #J-18808-Ljbffr

A leading data solutions company is seeking a Data Partnerships Analyst in San Francisco. The role focuses on researching and evaluating data partnerships, ensuring access to high-quality data sources. Applicants should have strong analytical skills and experience in consulting or business development, preferably within the automotive sector. This position provides exposure to founders and investors, contributing to the success of an AI-native enterprise platform. #J-18808-Ljbffr

The Role As a Data Analyst at Zencastr, you will partner with different departments and teams to make data-driven decisions that ship better products by delivering product insights and strategic recommendations based upon quantitative analysis. You will be involved in driving data-based decisions and lead initiatives to improve operational efficiency. You will be an active thought partner and subject matter expert in your data, deeply involved in new projects and all aspects of your stakeholders deliverables. We are searching for the right candidate who has strong experience analyzing and reporting on acquisition, conversion and user retention metrics to measure the impact of campaigns. What You'll Do.. Partner across departments to build a rapport and be a trusted advisor to team members; Use an analytical perspective to inform decision making and help drive a focus on the most impactful ideas Navigate ambiguity of stakeholder requests and formulate hypotheses while building consensus Design and build advanced analytical solutions and products to deliver superior business outcomes using research and performing quantitative and qualitative analysis Identify trends and opportunities to drive product growth and nurture a healthy ecosystem Use BI tooling, construct core dashboards, visualizations, and analyses to help stakeholders monitor product health and make better decisions Communicate insights to stakeholders distilling complex analysis into accessible learnings; Deliver effective presentations to influence multiple levels of stakeholders Continuously improve your business acumen and understanding of Zencastr products and business, as well as the podcast/creator industry at large Understand underlying data sources and their limitations and communicate complex data insights through exploratory analysis and research to suggest improvement Conduct research on various business processes to uncover bottlenecks and provide recommendations to improve and align with the business goal Analyze various business-related effects, e.g. product optimization and improvement, market activity analysis, operation analysis, etc Collaborate with the operation team, analyze business operation efficiency, identify business problems, and provide optimization suggestions to improve operating efficiency If This Describes You.. 3+ years of data analytics experience, preferably for SaaS companies Strong SQL - experience navigating and working with data sets and developing data pipelines using SQL Has strong experience analyzing and reporting on acquisition, conversion and user retention metrics to measure the impact of campaigns Undergraduate degree in quantitative major (Finance, Economics, Math, Computer Science) or equivalent experience Experience working with Product, Engineering, Sales & Operation teams Foundational understanding of data modeling best practices Experience using BI visualization tools like Metabase, Looker, Power BI or Tableau Experience using Analytics tools like Google Analytics, FullStory, Heap, Amplitude, Mixpanel Able to summarize, explain and simplify complex data analyses and concepts Ability to manage multiple deliverables simultaneously and proactively communicate changes and roadblocks Comfortable working collaboratively with various stakeholders across departments, including senior management Motivated to find a faster way to do your least favorite tasks #J-18808-Ljbffr

A fast-growing AI company in San Francisco is seeking a customer-focused Data Analyst to help clients answer important questions around revenue performance and marketing strategies. You will translate complex data into insights, support customers in optimizing their efforts, and work collaboratively to enhance the customer experience. The role offers flexibility for exceptional candidates, with a salary range of $40,000 to $120,000 based on experience and location. #J-18808-Ljbffr