Agoda's Bangkok-based Performance Marketing role leans into data-driven experimentation across search and social campaigns, then translates results into models and dashboards for account managers....
read more »
Agoda's Bangkok-based Performance Marketing role leans into data-driven experimentation across search and social campaigns, then translates results into models and dashboards for account managers. The tech requirements read like a mid-career analytics job: SAS, R, SPSS, Python, VBA, SQL, Tableau and Excel, with a heavy tilt toward legacy BI and manual workflows rather than slick modern pipelines. Expect to optimize bids on Google, Bing, Baidu and Naver, run display tests on Facebook and friends, and craft measurable lifetime-value improvements from experiments. The upside is exposure to a global, diverse company and real data scale; the downsides are salary secrecy, a generous relocation package to Bangkok, and the bureaucratic pace that comes with a global travel giant. If you crave practical marketing analytics and can tolerate corporate buzz, this stands out for its reach, not its craft.
Senior Analyst, People Analytics & BI
@ jobyaviation
US | 2025-12-28
| USD
134000 - 178600
/ year
Joby wants a Senior People Analytics Analyst / BI Developer to lay the data foundation for a fast-growing aerospace startup. You’ll own the data infrastructure, architect reporting models, and...
read more »
Joby wants a Senior People Analytics Analyst / BI Developer to lay the data foundation for a fast-growing aerospace startup. You’ll own the data infrastructure, architect reporting models, and deliver self-service analytics for recruiting, performance, engagement, retention, and workforce planning. Tech focus is Databricks, SQL, Python, and Power BI, wired to HRIS leaders like ADP, Lattice, and iCIMS. That stack is respectable for scale, but HR data brings governance, privacy, and quality headaches that don’t disappear with a dashboard. You’ll fight for data hygiene, security policies, and reliable dashboards while translating messy business needs into scalable insights. It’s a real market differentiator to own HR analytics end-to-end at a high-visibility company, but be prepared for stakeholder friction, integration quirks, and startup pace—plus RSUs rather than a gilded salary.
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.
Adobe’s posting reads as a grounded BI/data-engineering role rather than hype. You’ll own end-to-end BI in Power BI—data models, semantic layers, DAX optimization, security, and capacity...
read more »
Adobe’s posting reads as a grounded BI/data-engineering role rather than hype. You’ll own end-to-end BI in Power BI—data models, semantic layers, DAX optimization, security, and capacity health—while building ELT/ETL pipelines in Databricks with Delta Lake and medallion architecture for large datasets. It blends traditional reporting rigor with modern lakehouse workflows, plus ad-hoc executive support and planning cycles. Strengths include explicit demands around performance tuning, row-level security, data modeling, and cross-tool collaboration; GenAI familiarity is a nice-to-have. Risks include a heavy Power BI dependence in a company that pledges openness to new tech, and a pay band tied to location rather than pure merit. The salary is transparent, the tech stack is real, and the role rewards practical data plumbing over marketing buzz.
Senior Staff Technical Data Analyst (Lead Analytics Engineer)
@ intuit
US | 2025-12-27
| USD
191500 - 259000
/ year
Intuit seeks a hands-on Senior Staff data engineer/architect to mature a broad analytics toolkit for the Small Business and Self-Employed group. The role blends data modeling mastery, scalable...
read more »
Senior Staff Technical Data Analyst (Lead Analytics Engineer)
intuit
(US) FULL TIME | JOB LISTED
Intuit seeks a hands-on Senior Staff data engineer/architect to mature a broad analytics toolkit for the Small Business and Self-Employed group. The role blends data modeling mastery, scalable architecture, and governance with a heavy leadership remit—mentoring contractors, steering end-to-end pipelines, and translating clickstream and transactional data into decision-ready datasets. Expect Databricks on AWS with dbt, Airflow, and Fivetran underpinning the stack, plus SQL and Python as the workhorse languages. The job rewards strategic roadmapping and cross-functional storytelling to analysts and product managers, but the price is relentless standards, governance rigor, and high ownership. It’s a senior, impact-heavy position in a mature org that values data literacy, yet the description hints at potential political drag and maintenance of complex, evolving models rather than flashy experimentation. Compensation is explicit but region-variant, typical for the Bay Area market.
Senior Staff Technical Data Analyst (Lead Analytics Engineer)
@ intuit
US | 2025-12-27
| USD
191500 - 259000
/ year
Intuit seeks a hands-on Senior Staff to mature its Analytics ecosystem within the Data Intelligence team. It blends architecture, data modeling, and governance with practical work across...
read more »
Senior Staff Technical Data Analyst (Lead Analytics Engineer)
intuit
(US) FULL TIME | JOB LISTED
Intuit seeks a hands-on Senior Staff to mature its Analytics ecosystem within the Data Intelligence team. It blends architecture, data modeling, and governance with practical work across clickstream and transactional sources, demanding deep SQL and Python, cloud platforms (Databricks on AWS), and orchestration/ETL tools (dbt, Airflow, Fivetran). Expect end-to-end ownership, mentoring contractors, and roadmapping under agile governance, plus translating business questions into robust data products. The stack values semantic-layer design, data lineage, and self-serve BI via Tableau/Looker/Qlik Sense. Pay is explicit by geography (Bay Area: 191,500-259,000; SoCal: 183,000-247,500) with bonuses and equity. It’s a strong market signal: high compensation, governance-forward architecture, and a clear path to leadership—great for stability and scale, less thrilling if you chase rapid, small-team velocity or hype cycles.
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.
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.
The role involves analyzing high-dimensional, real-time datasets to uncover fraud patterns, with a notable emphasis on data storytelling and visualization. The unique aspect is working with...
read more »
The role involves analyzing high-dimensional, real-time datasets to uncover fraud patterns, with a notable emphasis on data storytelling and visualization. The unique aspect is working with Walmart's expansive data universe, though the risk lies in the reliance on only SQL, Python or R, and big data tools, which may not fully address all analytical challenges.
BILL seeks a highly analytical Senior Analyst to support their GTM Engine by translating data insights into actionable recommendations. The role's differentiator is its focus on building a...
read more »
BILL seeks a highly analytical Senior Analyst to support their GTM Engine by translating data insights into actionable recommendations. The role's differentiator is its focus on building a world-class, data-driven system to augment sales and marketing decisions; a potential risk is the dependence on complex data pipelines and cross-team coordination. Experience with SQL, data modeling, and BI tools is essential, with specific mention of modern data stacks like Snowflake. The role is based in San Jose or Draper, with salary ranges provided for both locations. No indication of intermediary status.
Activision Blizzard Media seeks a Staff Data Analyst with extensive experience in large-scale data analysis, statistical methods, and A/B testing. The role's unique focus on mobile games analytics...
read more »
Activision Blizzard Media seeks a Staff Data Analyst with extensive experience in large-scale data analysis, statistical methods, and A/B testing. The role's unique focus on mobile games analytics and advertising product performance is a notable differentiator, but a potential risk lies in managing expectations for the high level of expertise required. The position offers a salary range of $111,780.00 - $206,882.00 annually, depending on experience and location, with additional incentive opportunities.
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.
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.
LinkedIn seeks a Compensation Partner to analyze and administer compensation programs across corporate functions, leveraging data tools like Excel, PowerBI, and data modeling. The role's...
read more »
LinkedIn seeks a Compensation Partner to analyze and administer compensation programs across corporate functions, leveraging data tools like Excel, PowerBI, and data modeling. The role's differentiator is its involvement in enterprise-wide compensation transformation initiatives, with a risk being the challenge of aligning global pay practices amid evolving market conditions. The position emphasizes collaboration and analytical skills, supporting decision-making in a complex organizational setting.
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.
Master Power BI fast: build basic-to-advanced visuals, apply smart design, use dynamic slicers/filters & new cards, choose the right chart, spotlight key insights, brand and theme reports, and seamlessly publish/share in the Service.
BART seeks a Strategic Data Administrator to drive safety analytics across capital and construction projects. It’s a governance-heavy role that designs data pipelines, develops dashboards, runs...
read more »
Agoda's Bangkok-based Performance Marketing role leans into data-driven experimentation across search and social campaigns, then translates results into models and dashboards for account managers. The tech requirements read like a mid-career analytics job: SAS, R, SPSS, Python, VBA, SQL, Tableau and Excel, with a heavy tilt toward legacy BI and manual workflows rather than slick modern pipelines. Expect to optimize bids on Google, Bing, Baidu and Naver, run display tests on Facebook and friends, and craft measurable lifetime-value improvements from experiments. The upside is exposure to a global, diverse company and real data scale; the downsides are salary secrecy, a generous relocation package to Bangkok, and the bureaucratic pace that comes with a global travel giant. If you crave practical marketing analytics and can tolerate corporate buzz, this stands out for its reach, not its craft.
Joby wants a Senior People Analytics Analyst / BI Developer to lay the data foundation for a fast-growing aerospace startup. You’ll own the data infrastructure, architect reporting models, and deliver self-service analytics for recruiting, performance, engagement, retention, and workforce planning. Tech focus is Databricks, SQL, Python, and Power BI, wired to HRIS leaders like ADP, Lattice, and iCIMS. That stack is respectable for scale, but HR data brings governance, privacy, and quality headaches that don’t disappear with a dashboard. You’ll fight for data hygiene, security policies, and reliable dashboards while translating messy business needs into scalable insights. It’s a real market differentiator to own HR analytics end-to-end at a high-visibility company, but be prepared for stakeholder friction, integration quirks, and startup pace—plus RSUs rather than a gilded salary.
Adobe’s posting reads as a grounded BI/data-engineering role rather than hype. You’ll own end-to-end BI in Power BI—data models, semantic layers, DAX optimization, security, and capacity health—while building ELT/ETL pipelines in Databricks with Delta Lake and medallion architecture for large datasets. It blends traditional reporting rigor with modern lakehouse workflows, plus ad-hoc executive support and planning cycles. Strengths include explicit demands around performance tuning, row-level security, data modeling, and cross-tool collaboration; GenAI familiarity is a nice-to-have. Risks include a heavy Power BI dependence in a company that pledges openness to new tech, and a pay band tied to location rather than pure merit. The salary is transparent, the tech stack is real, and the role rewards practical data plumbing over marketing buzz.
Senior Staff Technical Data Analyst (Lead Analytics Engineer)
intuit
(US) FULL TIME | JOB LISTED
Intuit seeks a hands-on Senior Staff data engineer/architect to mature a broad analytics toolkit for the Small Business and Self-Employed group. The role blends data modeling mastery, scalable architecture, and governance with a heavy leadership remit—mentoring contractors, steering end-to-end pipelines, and translating clickstream and transactional data into decision-ready datasets. Expect Databricks on AWS with dbt, Airflow, and Fivetran underpinning the stack, plus SQL and Python as the workhorse languages. The job rewards strategic roadmapping and cross-functional storytelling to analysts and product managers, but the price is relentless standards, governance rigor, and high ownership. It’s a senior, impact-heavy position in a mature org that values data literacy, yet the description hints at potential political drag and maintenance of complex, evolving models rather than flashy experimentation. Compensation is explicit but region-variant, typical for the Bay Area market.
Senior Staff Technical Data Analyst (Lead Analytics Engineer)
intuit
(US) FULL TIME | JOB LISTED
Intuit seeks a hands-on Senior Staff to mature its Analytics ecosystem within the Data Intelligence team. It blends architecture, data modeling, and governance with practical work across clickstream and transactional sources, demanding deep SQL and Python, cloud platforms (Databricks on AWS), and orchestration/ETL tools (dbt, Airflow, Fivetran). Expect end-to-end ownership, mentoring contractors, and roadmapping under agile governance, plus translating business questions into robust data products. The stack values semantic-layer design, data lineage, and self-serve BI via Tableau/Looker/Qlik Sense. Pay is explicit by geography (Bay Area: 191,500-259,000; SoCal: 183,000-247,500) with bonuses and equity. It’s a strong market signal: high compensation, governance-forward architecture, and a clear path to leadership—great for stability and scale, less thrilling if you chase rapid, small-team velocity or hype cycles.
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 role involves analyzing high-dimensional, real-time datasets to uncover fraud patterns, with a notable emphasis on data storytelling and visualization. The unique aspect is working with Walmart's expansive data universe, though the risk lies in the reliance on only SQL, Python or R, and big data tools, which may not fully address all analytical challenges.
BILL seeks a highly analytical Senior Analyst to support their GTM Engine by translating data insights into actionable recommendations. The role's differentiator is its focus on building a world-class, data-driven system to augment sales and marketing decisions; a potential risk is the dependence on complex data pipelines and cross-team coordination. Experience with SQL, data modeling, and BI tools is essential, with specific mention of modern data stacks like Snowflake. The role is based in San Jose or Draper, with salary ranges provided for both locations. No indication of intermediary status.
Activision Blizzard Media seeks a Staff Data Analyst with extensive experience in large-scale data analysis, statistical methods, and A/B testing. The role's unique focus on mobile games analytics and advertising product performance is a notable differentiator, but a potential risk lies in managing expectations for the high level of expertise required. The position offers a salary range of $111,780.00 - $206,882.00 annually, depending on experience and location, with additional incentive opportunities.
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.
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.
LinkedIn seeks a Compensation Partner to analyze and administer compensation programs across corporate functions, leveraging data tools like Excel, PowerBI, and data modeling. The role's differentiator is its involvement in enterprise-wide compensation transformation initiatives, with a risk being the challenge of aligning global pay practices amid evolving market conditions. The position emphasizes collaboration and analytical skills, supporting decision-making in a complex organizational setting.
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.
BART seeks a Strategic Data Administrator to drive safety analytics across capital and construction projects. It’s a governance-heavy role that designs data pipelines, develops dashboards, runs predictive models, and uses safety management system software to surface safety risks and KPIs for management. Expect heavy IT collaboration, emphasis on hazard analysis (FMEA) and risk assessments, and translating data into policy-relevant insights. Technical chops call for SQL, DAX, Power BI, Python or R, advanced Excel, and strong data visualization skills. Salary is explicit: $151,840 to $184,537.60 per year, with step-based increases; first review is Nov 16, 2025, within an AFSCME framework. The position stands out for public-sector scale, structured progression, and tangible safety impact, but may disappoint private-sector data professionals seeking rapid stack experimentation and greater salary flexibility.