Lyft’s Market Insights analyst role offers influence across leadership decisions by translating regional rideshare patterns into actionable strategy, but it’s the patient, non-glamorous end of...
read more »
Lyft’s Market Insights analyst role offers influence across leadership decisions by translating regional rideshare patterns into actionable strategy, but it’s the patient, non-glamorous end of data work. Expect to live in SQL and Excel/Sheets, with a dash of data visualization and the patience to persuade senior stakeholders. You’ll partner with Data Science, Product, and Engineering, handle open-ended problems, and own initiatives from weekly ops to long-range bets. The sweet spot is cross-functional impact in a high-growth environment; the trap is ambiguity and political frictions that sap momentum if you’re not persuasive. Salary is clearly stated for San Francisco base pay, though equity and bonus are outside that figure. For practitioners who want real ownership without heavy ML or cloud-native baggage, this is respectable, not revolutionary.
Tempus leverages its proprietary platform to connect an extensive real-world patient data set with transcriptomics and digital pathology, aiming to improve clinical care through data-driven...
read more »
Tempus leverages its proprietary platform to connect an extensive real-world patient data set with transcriptomics and digital pathology, aiming to improve clinical care through data-driven insights. The role involves supporting partnership development, analyzing inbound request volumes, and integrating new data sources, with a notable focus on oncology. A key differentiator is access to the largest real-world clinical data set. Risks include dealing with disorganized data and potential variability in salary based on location and experience.
The BigQuery Cost Optimization Guide is a valuable resource that offers a deep dive into understanding and managing the complexities of BigQuery costs. It provides practical guidelines and strategies to help you optimize both storage and compute expenses, ensuring you get the most value out of...
Neuralink seeks a compensation and people analytics pro to manage equity programs, support HR decisions, and optimize workflows—all while balancing analytical rigor with the unpredictable...
read more »
Neuralink seeks a compensation and people analytics pro to manage equity programs, support HR decisions, and optimize workflows—all while balancing analytical rigor with the unpredictable landscape of a startup. A key differentiator is their focus on bi-directional brain interfaces, which adds a layer of complexity to the company's growth challenges. The main risk lies in the high-pressure environment, where shifting priorities could impact project stability. The role involves data analysis, market benchmarking, and cross-team collaboration, utilizing tools like Radford and Shareworks. No specific salary is provided beyond a range; salary details are variable and depend on experience.
This role is a misrepresentation of what data engineering entails. The job description leans heavily on sales strategy and operations, which are not technical or data-driven. The focus is on...
read more »
This role is a misrepresentation of what data engineering entails. The job description leans heavily on sales strategy and operations, which are not technical or data-driven. The focus is on cross-functional collaboration and process improvement, but it lacks clear technical requirements and doesn't highlight the core data engineering skills needed. The compensation range is vague, and the company’s emphasis on sales and operations undermines the technical rigor of the position. It’s a misaligned opportunity for a data engineer seeking real-world data challenges and innovation.
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.
BitGo’s Customer Success, Operations Associate sits at the operational spine of a crypto custodian that claims world dominance in independent custody and staking. It’s not a pure technical role,...
read more »
BitGo’s Customer Success, Operations Associate sits at the operational spine of a crypto custodian that claims world dominance in independent custody and staking. It’s not a pure technical role, but it rewards data literacy: own dashboards and health scores in Gainsight, Salesforce, and Looker, keep data clean, surface insights to GTM and Product, and line up onboarding, renewals, and churn risk. Expect to meld Excel/Sheets discipline with SQL or Python as a plus, while documenting SOPs and maintaining knowledge bases. The role offers cross-functional exposure across Sales, Product, Engineering, and Support and a path toward more scalable ops, but the work is heavy on process, tool governance, and governance of customer data in a regulated crypto setting. Salary sits in the $90k–$120k base band, with equity and bonus on top.
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.
Manager, Business Analysis and Insights
@ betterhelp
US | 2025-12-24
| USD
130000 - 190000
/ year
This role is a high-impact, strategic position at BetterHelp, a leading online therapy platform. The Manager, Business Analysis and Insights role requires advanced analytics, strategic thinking,...
read more »
Manager, Business Analysis and Insights
betterhelp
(US) FULL TIME | JOB LISTED
This role is a high-impact, strategic position at BetterHelp, a leading online therapy platform. The Manager, Business Analysis and Insights role requires advanced analytics, strategic thinking, and cross-functional collaboration. The candidate should have 5–8 years of experience in D2C or tech-enabled companies, with a strong background in data-driven decision-making. The role involves influencing business strategy, performance monitoring, and data strategy, with a focus on delivering actionable insights. The position is not an intermediary role, and the salary range is $130,000–$190,000. The job is highly demanding, requiring a pragmatic approach, strong presentation skills, and the ability to thrive in a fast-paced, evolving environment. Tools and technologies mentioned include SQL, Python, R, Looker, Tableau, Excel, and Google Sheets. The company values innovation, sustainability, and a supportive community, but is skeptical of traditional metrics and office politics.
Lyft’s Market Insights analyst role offers influence across leadership decisions by translating regional rideshare patterns into actionable strategy, but it’s the patient, non-glamorous end of data work. Expect to live in SQL and Excel/Sheets, with a dash of data visualization and the patience to persuade senior stakeholders. You’ll partner with Data Science, Product, and Engineering, handle open-ended problems, and own initiatives from weekly ops to long-range bets. The sweet spot is cross-functional impact in a high-growth environment; the trap is ambiguity and political frictions that sap momentum if you’re not persuasive. Salary is clearly stated for San Francisco base pay, though equity and bonus are outside that figure. For practitioners who want real ownership without heavy ML or cloud-native baggage, this is respectable, not revolutionary.
Tempus leverages its proprietary platform to connect an extensive real-world patient data set with transcriptomics and digital pathology, aiming to improve clinical care through data-driven insights. The role involves supporting partnership development, analyzing inbound request volumes, and integrating new data sources, with a notable focus on oncology. A key differentiator is access to the largest real-world clinical data set. Risks include dealing with disorganized data and potential variability in salary based on location and experience.
Neuralink seeks a compensation and people analytics pro to manage equity programs, support HR decisions, and optimize workflows—all while balancing analytical rigor with the unpredictable landscape of a startup. A key differentiator is their focus on bi-directional brain interfaces, which adds a layer of complexity to the company's growth challenges. The main risk lies in the high-pressure environment, where shifting priorities could impact project stability. The role involves data analysis, market benchmarking, and cross-team collaboration, utilizing tools like Radford and Shareworks. No specific salary is provided beyond a range; salary details are variable and depend on experience.
This role is a misrepresentation of what data engineering entails. The job description leans heavily on sales strategy and operations, which are not technical or data-driven. The focus is on cross-functional collaboration and process improvement, but it lacks clear technical requirements and doesn't highlight the core data engineering skills needed. The compensation range is vague, and the company’s emphasis on sales and operations undermines the technical rigor of the position. It’s a misaligned opportunity for a data engineer seeking real-world data challenges and innovation.
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.
BitGo’s Customer Success, Operations Associate sits at the operational spine of a crypto custodian that claims world dominance in independent custody and staking. It’s not a pure technical role, but it rewards data literacy: own dashboards and health scores in Gainsight, Salesforce, and Looker, keep data clean, surface insights to GTM and Product, and line up onboarding, renewals, and churn risk. Expect to meld Excel/Sheets discipline with SQL or Python as a plus, while documenting SOPs and maintaining knowledge bases. The role offers cross-functional exposure across Sales, Product, Engineering, and Support and a path toward more scalable ops, but the work is heavy on process, tool governance, and governance of customer data in a regulated crypto setting. Salary sits in the $90k–$120k base band, with equity and bonus on top.
Manager, Business Analysis and Insights
betterhelp
(US) FULL TIME | JOB LISTED
This role is a high-impact, strategic position at BetterHelp, a leading online therapy platform. The Manager, Business Analysis and Insights role requires advanced analytics, strategic thinking, and cross-functional collaboration. The candidate should have 5–8 years of experience in D2C or tech-enabled companies, with a strong background in data-driven decision-making. The role involves influencing business strategy, performance monitoring, and data strategy, with a focus on delivering actionable insights. The position is not an intermediary role, and the salary range is $130,000–$190,000. The job is highly demanding, requiring a pragmatic approach, strong presentation skills, and the ability to thrive in a fast-paced, evolving environment. Tools and technologies mentioned include SQL, Python, R, Looker, Tableau, Excel, and Google Sheets. The company values innovation, sustainability, and a supportive community, but is skeptical of traditional metrics and office politics.
