Apply

Staff Data Analyst

Posted about 17 hours agoViewed

View full description

💎 Seniority level: Staff, 6 years

🔍 Industry: Software Development

🏢 Company: HubSpot👥 1001-5000💰 $35,000,000 Series E over 12 years ago🫂 Last layoff about 1 year agoSaaSAnalyticsMarketingCopywritingSocial Media

🗣️ Languages: English

⏳ Experience: 6 years

Requirements:
  • A minimum number of 6 years experience in a sales strategy role or equivalent level position
  • Demonstrated expertise in analytical or modeling techniques using tools like Looker, Hex, or Google Suite.
  • Strong aptitude for defining key metrics and conducting analyses to derive actionable insights.
  • Exceptional communication and collaboration skills, with a proven track record of presenting to revenue-driven executives.
  • Proficiency with MS Office Suite, Google Apps, Salesforce.com, and HubSpot CRM.
  • Proven SQL knowledge and experience.
  • Python or R is a plus.
Responsibilities:
  • Be the go-to expert for the business, playing a pivotal role in driving data-driven decision-making
  • Participate in and develop the analyst community, fostering a high-performing, insights-driven culture
  • Be hands-on, delivering critical insights that shape strategic decisions and ensure data is at the core of our operations
  • Partner with leadership to drive business strategy, planning, goal-setting, and performance tracking
  • Scope and lead high-impact projects and execute on mission-critical strategic initiatives
Apply

Related Jobs

Apply
🔥 Sr. Staff Data Analyst
Posted about 19 hours ago

🏢 Company: ZenBusiness Inc.

  • 8+ years of experience in business analytics, product analytics, or business intelligence, with a proven track record of supporting multiple business domains (finance, marketing, product, customer support, sales).
  • Expertise in SQL, semantic layer architecture, Snowflake, and Tableau.
  • Experience in A/B testing and experimental analytics for product and marketing optimization.
  • Strong ability to present complex data clearly and persuasively to C-level executives and leadership teams.
  • Demonstrated ability to coach and mentor analysts, especially in preparing insights and reports for C-level communications.
  • Experience with dbt is strongly desirable, particularly for data transformation and modeling.
  • Experience working with Analytics Engineering teams to design and maintain semantic layers for business-wide data accessibility.
  • Excellent communication and collaboration skills, with a track record of working effectively across teams.
  • Partner with senior leadership to define, track, and evolve company-wide KPIs that drive business performance.
  • Deliver actionable insights that influence decision-making, experimentation, and prioritization across multiple teams.
  • Present findings to executives and stakeholders in a clear, compelling, and data-driven manner to shape company strategy.
  • Guide and mentor analysts in refining their storytelling and communication skills for C-level reporting.
  • Manage multiple workstreams efficiently, balancing long-term initiatives with immediate business needs.
Posted about 19 hours ago
Apply
Apply

📍 USA

🧭 Full-Time

💸 138500.0 - 221600.0 USD per year

🔍 Customer Relationship Management (CRM)

🏢 Company: HubSpot👥 1001-5000💰 $35,000,000 Series E over 12 years ago🫂 Last layoff about 1 year agoSaaSAnalyticsMarketingCopywritingSocial Media

  • Academic or professional experience with a heavy quantitative, analytical focus
  • Track record of driving organization-wide impact in a business environment, influencing decision-making with data; ideally working with cross-functional, executive (C-level) stakeholders
  • Experience working with data end-to-end, from ingestion to data modeling to analytical deliveries
  • Experience with enterprise-scale analytics architectures built for a variety of applications (beyond SQL transformations/reporting, ideally Looker, HEX)
  • Ability to write performant, complex SQL queries combining multiple sources of data
  • Expertise with data analytics and statistical tools such as R or Python
  • Confidence with a variety of analytical and statistical techniques (e.g., regression analysis)
  • Excellent communication, storytelling, and collaboration skills
  • Demonstrated passion for teaching, mentoring, or developing teams - particularly without direct management
  • Build and scale our CSSO data analytics practice to transform customer usage patterns and outcomes data into strategic insights that drive product and service improvements
  • Develop comprehensive analytics frameworks to guide Customer Success strategy and long-term initiatives, turning data into actionable recommendations for leadership
  • Design and implement performance measurement systems, including monthly business reviews, forecasting models, and success metrics
  • Lead complex analytical investigations to identify root causes of customer challenges and recommend actionable solutions that drive measurable business outcomes
  • Create scalable processes and systems that enhance team productivity and decision-making through data-driven insights

PythonSQLBusiness IntelligenceData AnalysisETLTableauBusiness OperationsData engineeringData scienceCommunication SkillsAnalytical SkillsCollaborationMicrosoft ExcelData visualizationData modelingData analyticsData managementCustomer Success

Posted 8 days ago
Apply
Apply
🔥 Staff Data Analyst
Posted about 1 month ago

📍 United States

💸 131414.0 - 197100.0 USD per year

🔍 Mental Health

🏢 Company: Headspace👥 11-50WellnessHealth CareChild Care

  • 8+ years of well-rounded analytics experience, ideally in Digital Health, high-growth SaaS, and/or Mental Health.
  • 6+ years of experience working directly with executive leadership and product leaders.
  • 8+ years of analytics experience focused on customer growth, engagement, and lifecycle optimization.
  • 6+ years of experience owning and managing data products to create business impact.
  • 8+ years of expertise in big data technologies (e.g., Redshift, S3, Databricks, Datalakes, Spark).
  • Advanced skills in SQL, Python, R, Looker, Tableau, Statistics, Amplitude, Domo, CoreMetrics, Google Analytics, and Excel.
  • Bachelor's or master's degree in computer science, statistics, mathematics, or a related quantitative field.
  • Drive significant business outcomes by leading impactful and complex data projects that align with strategic priorities.
  • Provide thought leadership by collaborating with cross-functional teams to translate complex business problems into scalable analytical frameworks.
  • Serve as the organization's subject matter expert on advanced statistical analysis, experimental design, and financial impact analysis.
  • Lead root cause analyses for critical business metrics and facilitate discussions with senior stakeholders to prioritize optimization strategies.
  • Architect and implement automation solutions for analytical processes to improve scalability and efficiency.
  • Lead the development of data product requirements, dashboards, and automated reporting solutions.
  • Partner with Business Intelligence engineering teams to drive immediate data initiatives and the long-term vision.
  • Independently identify opportunities for improvement, initiate projects, and lead them to successful outcomes.
  • Deliver compelling presentations to cross-functional teams and executive leadership to showcase data-driven insights.

PythonSQLTableauData engineeringData analytics

Posted about 1 month ago
Apply
Apply
🔥 Staff Data Analyst - Marketing
Posted about 2 months ago

📍 Canada, United States

💸 130000.0 - 156000.0 USD per year

🔍 Marketing

🏢 Company: Hootsuite👥 1001-5000💰 $50,000,000 Debt Financing almost 7 years ago🫂 Last layoff about 2 years agoDigital MarketingSocial Media MarketingSocial Media ManagementApps

  • Extensive relevant experience within a fast-paced business environment, with specialized experience in marketing data and customer segments.
  • Advanced Analytics & Statistical Methods: Ability to apply advanced statistical analysis, regression models, and predictive analytics to marketing data.
  • Data Visualization & Reporting: Strong ability to use visualization tools to translate complex data into clear, actionable insights.
  • Customer Behaviour Analysis: Experience analyzing and understanding how customers engage with marketing campaigns, using this insight to optimize marketing efforts.
  • Segmentation & Personalization: Ability to create and analyze customer segments to develop personalized marketing strategies that drive engagement and conversion.
  • Campaign Analysis & Optimization: Deep knowledge of how to track, evaluate, and optimize the effectiveness of marketing campaigns based on performance data.
  • Marketing Attribution: Expertise in attribution modeling, including multi-touch attribution, and the ability to apply insights to improve the effectiveness of marketing channels.
  • SQL: Expertise in writing complex SQL queries to extract and manipulate marketing data from relational databases.
  • Lead Marketing Analytics Initiatives: Manage key cross-functional analytics projects related to campaign performance, customer engagement, and marketing ROI. Use advanced statistical methods and data visualization tools (e.g., Tableau, Power BI) to deliver actionable insights and help optimize marketing strategies.
  • Campaign Performance and KPI Analysis: Analyze key marketing KPIs, such as conversion rates, customer lifetime value, cost per acquisition, and return on marketing investment (ROMI). Use predictive analytics and data modeling techniques to recommend improvements in targeting, messaging, and campaign budget allocation.
  • Collaborate on Marketing Attribution: Work with the marketing team to develop and refine multi-touch attribution models, ensuring the team accurately measures the impact of different marketing channels (e.g., email, social media, paid search) on customer journeys and sales. Provide insights to help refine marketing strategies based on attribution results.
  • Customer Segmentation and Personalization: Analyze customer data to create detailed segments based on demographics, behavior, and purchase history. Work with marketing teams to implement personalized marketing strategies that improve engagement and conversion through targeted approaches.
  • A/B Testing and Experimentation: Lead A/B tests and experiments to evaluate the effectiveness of new marketing tactics, product features, or customer engagement strategies. Provide actionable recommendations based on statistical analysis to refine and optimize marketing campaigns.
  • Forecasting and Trend Analysis: Utilize statistical models and machine learning algorithms to forecast trends in customer behavior and campaign performance, allowing for proactive adjustments to marketing strategies that maximize ROI.
  • Mentor Data Analysts within the team through hands-on coaching and training to elevate their skills and impact.

SQLData AnalysisTableauCommunication SkillsAnalytical SkillsProblem SolvingData visualizationMarketingData modelingData analyticsA/B testing

Posted about 2 months ago
Apply

Related Articles

Posted 12 days ago

Why remote work is such a nice opportunity?

Why is remote work so nice? Let's try to see!

Posted 7 months ago

Insights into the evolving landscape of remote work in 2024 reveal the importance of certifications and continuous learning. This article breaks down emerging trends, sought-after certifications, and provides practical solutions for enhancing your employability and expertise. What skills will be essential for remote job seekers, and how can you navigate this dynamic market to secure your dream role?

Posted 7 months ago

Explore the challenges and strategies of maintaining work-life balance while working remotely. Learn about unique aspects of remote work, associated challenges, historical context, and effective strategies to separate work and personal life.

Posted 7 months ago

Google is gearing up to expand its remote job listings, promising more opportunities across various departments and regions. Find out how this move can benefit job seekers and impact the market.

Posted 7 months ago

Learn about the importance of pre-onboarding preparation for remote employees, including checklist creation, documentation, tools and equipment setup, communication plans, and feedback strategies. Discover how proactive pre-onboarding can enhance job performance, increase retention rates, and foster a sense of belonging from day one.