A growth analyst position requires just over two years of experience analyzing user and revenue data to inform strategic decisions, with SQL skills and data visualization proficiency as core...
read more »
A growth analyst position requires just over two years of experience analyzing user and revenue data to inform strategic decisions, with SQL skills and data visualization proficiency as core competencies. The role's standout feature is partnering across multiple teams to optimize customer funnels, though the risk lies in reliance on traditional tools and frameworks that might overlook innovative approaches. Salary ranges from $130K to $180K, with no explicit mention of monthly, hourly, or annual periods. This intermediary role emphasizes data-driven insights over creative flair.
Verkada’s Growth Ops role asks for end-to-end analytics: transform raw data with dbt, build Looker dashboards, and convert numbers into growth decisions for a rapidly expanding hardware-software...
read more »
Verkada’s Growth Ops role asks for end-to-end analytics: transform raw data with dbt, build Looker dashboards, and convert numbers into growth decisions for a rapidly expanding hardware-software platform. The core is advanced SQL, clean data modeling, and governance that actually travels beyond the slide deck. You’ll own metrics design, partner with stakeholders to drive strategy, and foster data literacy so teams self-serve with trustworthy insights. The punchy constraint: five days in the San Mateo office, which crams in-office culture into your calendar and narrows the market. Stack-wise, you’ll live in dbt and Looker/LookML with modern warehouses (BigQuery, Snowflake, Redshift) and familiar BI tools. Compensation is explicit ($170k–$200k USD) plus RSUs; nice-to-haves tilt toward Python/R and marketing systems, but the real test is delivering practical, scalable analytics in a growth-focused environment.
The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.
Legal & Business Operations Data Analyst
@ kahana-feld
US | 2025-12-26
A data analyst role supporting a law firm's leadership through data collection, analysis, and reporting, with a notable emphasis on automation and Power BI dashboards; a risk lies in reliance on...
read more »
Legal & Business Operations Data Analyst
kahana-feld
(US) FULL TIME | JOB LISTED
A data analyst role supporting a law firm's leadership through data collection, analysis, and reporting, with a notable emphasis on automation and Power BI dashboards; a risk lies in reliance on multiple systems increasing data inconsistency. The salary range is explicitly provided as $85,000 - $115,000. Tools and technologies include Power BI, SharePoint, APIs, PowerShell, Python, SQL, Excel, and data visualization. The job type is analyst, and it is not an intermediary position.
Senior Product Analyst, Strategy and Insights
@ scribehow
US | 2025-12-26
| USD
150000 - 180000
/ year
Product-minded data analyst role at Scribe pairs with the VP of Product and a slate of PMs to codify a data strategy and keep North Star metrics honest. You’ll turn a 5M+ user dataset into...
read more »
Senior Product Analyst, Strategy and Insights
scribehow
(US) FULL TIME | JOB LISTED
Product-minded data analyst role at Scribe pairs with the VP of Product and a slate of PMs to codify a data strategy and keep North Star metrics honest. You’ll turn a 5M+ user dataset into scalable datasets and dashboards, measure feature impact across its lifecycle, and drive actionable bets through deep-dive funnel analysis, root-cause work, and statistical modeling. The job sits at the crossroads of data engineering, Revenue Ops and Finance, with mentorship duties to grow the analytics bench. Tools are solid: Snowflake, dbt, Sigma Computing, Mixpanel, plus SQL and Python. The market standout is the explicit product focus and cross-functional exposure in a fast-moving startup with equity on offer; risks are autonomy-heavy work, potential governance quirks, and the usual startup bandwidth scramble. Compensation is solid: $150k-$180k base, plus equity.
10x Genomics ropes you into a principal marketing analytics role that is heavy on strategy yet stubbornly hands-on. The brief demands full-funnel attribution, marketing mix analyses, executive...
read more »
10x Genomics ropes you into a principal marketing analytics role that is heavy on strategy yet stubbornly hands-on. The brief demands full-funnel attribution, marketing mix analyses, executive dashboards, and a unified customer data model, all while collaborating with data engineering to keep the data quality shipshape. That is not a ceremonial title; it is a rare blend of business influence and technical firepower, with a mandate to translate CAC, LTV, and conversion rate signals into sharper spend decisions. The tech stack reads like a marketing analytics grocery list: SQL plus Python or R, visualization tools (Tableau or Power BI), GA, Salesforce, Marketo, and robust A/B testing. The pay range is competitive for a hardcore analytics role in life sciences, but the real test is aligning marketing ops with global data governance and rapid growth demands. It is not glam, but it is substantive.
Head of Revenue Analytics at Gusto is a senior, cross‑functional data leadership role, owning forecasting, marketing analytics, churn/CLV, and the build-out of self‑serve revenue dashboards. You...
read more »
Head of Revenue Analytics at Gusto is a senior, cross‑functional data leadership role, owning forecasting, marketing analytics, churn/CLV, and the build-out of self‑serve revenue dashboards. You partner with GTM, Product, Finance, and Data to shape growth strategy, while also rolling up sleeves for ad‑hoc analyses. The candidate should bring 12+ years in analytics with at least 5 in leadership, plus fluency in SQL, Tableau or Power BI, Salesforce, marketing automation platforms, and data warehouses; AI/ML awareness is welcome but not a magic wand. Compensation is location‑adjusted: $201,200–$235,000 in SF/NY and $171,200–$200,000 in Denver. Hybrid, 2–3 days in the office. The role offers scale and strategic leverage in a growth SaaS, but carries heavy stakeholder demand, data discipline requirements, and the need to balance strategic vision with hands‑on execution.
O'Reilly: Building AI Agents with Model Context Protocol (MCP)
Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs.
Navan's Revenue Operations Analyst role is a fine-dining experience for those who appreciate the subtleties of travel expense data and financial analysis, though lacking the Michelin star one...
read more »
Navan's Revenue Operations Analyst role is a fine-dining experience for those who appreciate the subtleties of travel expense data and financial analysis, though lacking the Michelin star one might hope for. The emphasis on Excel and Google Slides suggests a need for polished presentations more than data wrangling innovation. While managing inbound ticket queues and facilitating cross-team communication sounds vital, it borders on mundane unless you enjoy frequent customer objection handling. B2B SaaS or financial modeling experience might be desirable, though the minimal SQL requirement raises eyebrows; analytics won't thrive on spreadsheets alone. The salary range, though commendable, feels like a gimmicky 'on-target' promise that could lead to aspirational targets instead of realizable gains. A solid role for aspiring analysts, perhaps, but don't expect revelations—more of an incremental shuffle in the right direction than a data revolution.
Asana seeks a Senior Growth Marketing Manager to develop user acquisition strategies across multiple channels, partnering with analytics teams to optimize campaigns. A key differentiator is their...
read more »
Asana seeks a Senior Growth Marketing Manager to develop user acquisition strategies across multiple channels, partnering with analytics teams to optimize campaigns. A key differentiator is their focus on AI in marketing tactics, but the role's risk lies in the ambiguity of salary variation and rapid market shifts that could impact the expected aggressive growth targets.
Turn/River Capital, a San Francisco private equity firm touting a growth-engineering playbook, hires a VP of Customer Retention to design and operationalize cross-portfolio retention and expansion...
read more »
Turn/River Capital, a San Francisco private equity firm touting a growth-engineering playbook, hires a VP of Customer Retention to design and operationalize cross-portfolio retention and expansion from pre-sale to renewal. The role sits at the operator-investor intersection, with real impact on GRR/NRR through data-driven playbooks, experimentation, and scalable CS architectures. You’ll partner with Sales, CS, Product, Marketing, and Services to drive high-intent customer journeys, translate insights into scalable initiatives, and build reporting frameworks that surface risk early. The challenge is scope: architecting structures, tech stacks, and processes that work across diverse portfolio companies while delivering predictable revenue and renewal velocity. The compensation is strong by Bay Area standards, but the job trades hands-on analytics for heavy governance and cross-team politics. Tools: spreadsheets and dashboards; success hinges on internal data teams delivering the signals.
Lead Product Analyst, Growth at Scribd offers end-to-end analytics for signup, activation, retention, and cancellation across multiple brands, with ownership of event instrumentation, taxonomy,...
read more »
Lead Product Analyst, Growth at Scribd offers end-to-end analytics for signup, activation, retention, and cancellation across multiple brands, with ownership of event instrumentation, taxonomy, and dashboards in Looker and Databricks. The role blends product strategy, experimentation rigor, and data systems, requiring deep SQL and Python or R, LookML governance, and the ability to translate complex funnels into actionable steps. The upside is shaping Scribd’s growth engine from the ground up and steering cross‑functional levers across acquisition, activation, and retention. The friction: high expectations on data quality, instrumentation discipline, and scalable analytics in a fast‑moving, global subscription business; you’ll juggle governance with velocity and persuade product teams with evidence rather than vanity metrics. The package is strong if you want real impact beyond dashboards, but beware the potential for scope creep and a competitive market for growth analytics talent.
A growth analyst position requires just over two years of experience analyzing user and revenue data to inform strategic decisions, with SQL skills and data visualization proficiency as core competencies. The role's standout feature is partnering across multiple teams to optimize customer funnels, though the risk lies in reliance on traditional tools and frameworks that might overlook innovative approaches. Salary ranges from $130K to $180K, with no explicit mention of monthly, hourly, or annual periods. This intermediary role emphasizes data-driven insights over creative flair.
Verkada’s Growth Ops role asks for end-to-end analytics: transform raw data with dbt, build Looker dashboards, and convert numbers into growth decisions for a rapidly expanding hardware-software platform. The core is advanced SQL, clean data modeling, and governance that actually travels beyond the slide deck. You’ll own metrics design, partner with stakeholders to drive strategy, and foster data literacy so teams self-serve with trustworthy insights. The punchy constraint: five days in the San Mateo office, which crams in-office culture into your calendar and narrows the market. Stack-wise, you’ll live in dbt and Looker/LookML with modern warehouses (BigQuery, Snowflake, Redshift) and familiar BI tools. Compensation is explicit ($170k–$200k USD) plus RSUs; nice-to-haves tilt toward Python/R and marketing systems, but the real test is delivering practical, scalable analytics in a growth-focused environment.
Legal & Business Operations Data Analyst
kahana-feld
(US) FULL TIME | JOB LISTED
A data analyst role supporting a law firm's leadership through data collection, analysis, and reporting, with a notable emphasis on automation and Power BI dashboards; a risk lies in reliance on multiple systems increasing data inconsistency. The salary range is explicitly provided as $85,000 - $115,000. Tools and technologies include Power BI, SharePoint, APIs, PowerShell, Python, SQL, Excel, and data visualization. The job type is analyst, and it is not an intermediary position.
Senior Product Analyst, Strategy and Insights
scribehow
(US) FULL TIME | JOB LISTED
Product-minded data analyst role at Scribe pairs with the VP of Product and a slate of PMs to codify a data strategy and keep North Star metrics honest. You’ll turn a 5M+ user dataset into scalable datasets and dashboards, measure feature impact across its lifecycle, and drive actionable bets through deep-dive funnel analysis, root-cause work, and statistical modeling. The job sits at the crossroads of data engineering, Revenue Ops and Finance, with mentorship duties to grow the analytics bench. Tools are solid: Snowflake, dbt, Sigma Computing, Mixpanel, plus SQL and Python. The market standout is the explicit product focus and cross-functional exposure in a fast-moving startup with equity on offer; risks are autonomy-heavy work, potential governance quirks, and the usual startup bandwidth scramble. Compensation is solid: $150k-$180k base, plus equity.
10x Genomics ropes you into a principal marketing analytics role that is heavy on strategy yet stubbornly hands-on. The brief demands full-funnel attribution, marketing mix analyses, executive dashboards, and a unified customer data model, all while collaborating with data engineering to keep the data quality shipshape. That is not a ceremonial title; it is a rare blend of business influence and technical firepower, with a mandate to translate CAC, LTV, and conversion rate signals into sharper spend decisions. The tech stack reads like a marketing analytics grocery list: SQL plus Python or R, visualization tools (Tableau or Power BI), GA, Salesforce, Marketo, and robust A/B testing. The pay range is competitive for a hardcore analytics role in life sciences, but the real test is aligning marketing ops with global data governance and rapid growth demands. It is not glam, but it is substantive.
Head of Revenue Analytics at Gusto is a senior, cross‑functional data leadership role, owning forecasting, marketing analytics, churn/CLV, and the build-out of self‑serve revenue dashboards. You partner with GTM, Product, Finance, and Data to shape growth strategy, while also rolling up sleeves for ad‑hoc analyses. The candidate should bring 12+ years in analytics with at least 5 in leadership, plus fluency in SQL, Tableau or Power BI, Salesforce, marketing automation platforms, and data warehouses; AI/ML awareness is welcome but not a magic wand. Compensation is location‑adjusted: $201,200–$235,000 in SF/NY and $171,200–$200,000 in Denver. Hybrid, 2–3 days in the office. The role offers scale and strategic leverage in a growth SaaS, but carries heavy stakeholder demand, data discipline requirements, and the need to balance strategic vision with hands‑on execution.
Navan's Revenue Operations Analyst role is a fine-dining experience for those who appreciate the subtleties of travel expense data and financial analysis, though lacking the Michelin star one might hope for. The emphasis on Excel and Google Slides suggests a need for polished presentations more than data wrangling innovation. While managing inbound ticket queues and facilitating cross-team communication sounds vital, it borders on mundane unless you enjoy frequent customer objection handling. B2B SaaS or financial modeling experience might be desirable, though the minimal SQL requirement raises eyebrows; analytics won't thrive on spreadsheets alone. The salary range, though commendable, feels like a gimmicky 'on-target' promise that could lead to aspirational targets instead of realizable gains. A solid role for aspiring analysts, perhaps, but don't expect revelations—more of an incremental shuffle in the right direction than a data revolution.
Asana seeks a Senior Growth Marketing Manager to develop user acquisition strategies across multiple channels, partnering with analytics teams to optimize campaigns. A key differentiator is their focus on AI in marketing tactics, but the role's risk lies in the ambiguity of salary variation and rapid market shifts that could impact the expected aggressive growth targets.
Turn/River Capital, a San Francisco private equity firm touting a growth-engineering playbook, hires a VP of Customer Retention to design and operationalize cross-portfolio retention and expansion from pre-sale to renewal. The role sits at the operator-investor intersection, with real impact on GRR/NRR through data-driven playbooks, experimentation, and scalable CS architectures. You’ll partner with Sales, CS, Product, Marketing, and Services to drive high-intent customer journeys, translate insights into scalable initiatives, and build reporting frameworks that surface risk early. The challenge is scope: architecting structures, tech stacks, and processes that work across diverse portfolio companies while delivering predictable revenue and renewal velocity. The compensation is strong by Bay Area standards, but the job trades hands-on analytics for heavy governance and cross-team politics. Tools: spreadsheets and dashboards; success hinges on internal data teams delivering the signals.
Lead Product Analyst, Growth at Scribd offers end-to-end analytics for signup, activation, retention, and cancellation across multiple brands, with ownership of event instrumentation, taxonomy, and dashboards in Looker and Databricks. The role blends product strategy, experimentation rigor, and data systems, requiring deep SQL and Python or R, LookML governance, and the ability to translate complex funnels into actionable steps. The upside is shaping Scribd’s growth engine from the ground up and steering cross‑functional levers across acquisition, activation, and retention. The friction: high expectations on data quality, instrumentation discipline, and scalable analytics in a fast‑moving, global subscription business; you’ll juggle governance with velocity and persuade product teams with evidence rather than vanity metrics. The package is strong if you want real impact beyond dashboards, but beware the potential for scope creep and a competitive market for growth analytics talent.
