Location: Central Europe; Portugal; Germany; Spain
Workplace: Remote
SplitMetrics is a global software company offering an ecosystem of products and services that serve as a growth engine for top mobile-first businesses worldwide. Our ecosystem includes:
- SplitMetrics Acquire, a platform for automating and optimizing Apple Ads.
- SplitMetrics Agency, a full-service mobile marketing agency staffed by top experts.
- SplitMetrics Optimize, an A/B testing platform recognized as the ASO Tool of the Year.
- App Radar by SplitMetrics: an ASO platform with advanced keyword and competitor insights.
WHY SPLITMETRICS?
- For over 11 years, we’ve been at the forefront of the mobile marketing industry, building an ecosystem of market-leading technologies.
- An Apple Ads Partner, SplitMetrics is the 1st company to build the Apple Ads management platform.
- Working with top mobile companies and brands globally: Skyscanner, Glovo, Flo, Babbel, Wooga and many more.
- Generating an impressive transaction volume, with over $1 billion in ad spend flowing through our ecosystem.
- Integrated AI into our strategic approach since 2023.
- Effectively collaborate across 20+ countries with a remote-first and supportive culture.
As an Account Executive EMEA/MENA, you will be responsible for the growth of our enterprise accounts in the region, ensuring all key metrics are delivered. With identified accounts, you will ensure revenue growth, customer success, and long-term customer partnership. In addition, you will provide direction and recommendations to the extended territory team and leadership to increase the region's efficiencies, structure, and strategy, ensuring individual and group success.
YOU WILL BE ACCOUNTABLE FOR EXCELLENCE TO:
- Own the full sales cycle from prospecting and qualification through trial, negotiation, closing, and handover.
- Consistently achieve and exceed new business targets.
- Build and manage a healthy pipeline through self-generated opportunities.
- Develop territory strategy and specific account plans, expand install base and acquire net new customers, create and execute demand generation plans within a territory, and be accountable for all aspects of taking down the number as if you genuinely owned SplitMetrics.
- Create a strong partnership with BDR, Marketing, Solutions, Product, Customer Success, Leadership and Legal to win strategic accounts.
- Leverage internal and external tools to maximize customer information – Maximize success with a world-class SaaS toolkit (access to Gong, Hubspot, Linkedin Sales Navigator, AppMagic), and provide feedback on products regarding customers' issues and competitive trends.
- Represent the company at industry events and conferences, building relationships and generating new business opportunities.
- Maintain strong deal hygiene, forecasting accuracy, and CRM discipline.
- Take ownership of performance, continuously improve sales skills, and actively seek and apply coaching and feedback.
ABOUT YOU:
We want to meet individuals passionate about the mobile marketing world, who have experience working with app publishers, agencies and brands and have a track record in owning large multi-year deals from end to end.
- 3+ years of experience in sales roles, with a strong track record in mobile marketing or advertising technology.
- A genuine passion for closing the deals with a ruthless focus on a customer.
- Proven ability to sell complex SaaS solutions to multiple stakeholders and senior decision-makers.
- A systematic approach in sales (MEDDIC).
- Strong experience in outbound prospecting and pipeline generation.
- A commitment to being an adviser and business development partner for a customer.
- A consultative selling mindset - able to challenge customer thinking, uncover underlying business needs, and position solutions based on value and business impact.
- Highly accountable, proactive, and results-oriented, with a strong sense of ownership.
- Excellent written and verbal communication skills.
- Curious, creative thinker, and open-minded character with a passion for challenges.
- Strong understanding of the mobile marketing, app growth, and advertising ecosystem, with a genuine curiosity to continuously follow industry trends, market shifts, competitors, and emerging technologies.
- Fluent English.
WHAT IS THERE FOR YOU?
- Time Off: Vacation and public holidays following your country's regulations. Additional PTOs annually for personal rejuvenation.
- Health and Wellness: Medical insurance or health care compensation. Paid sick leave to prioritize your well-being.
- Professional Development: Top online/offline conferences and mobile industry events. Internal courses for continuous professional development.
- Performance and Growth: Micro-management-free and supportive management style. Semi-annual performance review sessions. New career opportunities through our internal mobility program.
- Team Engagement: Corporate online events and offline team retreats. Collaboration between teams through shared OKRs. Environment conducive to open dialogue and constructive feedback.
- Work Flexibility: Flexible working schedule for a better work-life balance. Remote-first working environment.
- Workspace Options: Coworking costs coverage program. Office hubs in key locations for a convenient and productive work environment.
OUR CULTURE
At SplitMetrics, our values are not just words — they guide everything we do. To achieve our ambitious goals and maintain success, we stand united by our core behaviors:
- Move Fast
- Get Sh*t Done
- Build Together
- Strive for Transparency
- Own What You Do
- Learn + Share = Excel
Remote Hiring Guidelines: At SplitMetrics, we welcome team members from various countries. While all our roles are remote, certain positions may have specific eligibility requirements based on location. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Location: United States
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We're a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the role
You join a customer's marketing data problem and stay until it runs in production. One month it's a pharma brand that needs validated files delivered to its agency every night. The next it's a DTC brand that wants attribution it can defend, or an agency running forty client dashboards on one model. You own three to six accounts end to end: the discovery calls, the data model, the pipeline, the dashboard, the handoff. Claude Code is your pair, not a checkbox.
What you'll do
Run weekly customer calls and turn what you hear into a scoped build with dates.
Design and maintain the models: SQL and dbt on ClickHouse, BigQuery or Snowflake, kept correct as sources change.
Write Python pipelines on Temporal when the platform doesn't cover the case: SFTP feeds, validation rules, custom joins, audit emails.
Ship dashboards in Looker, Power BI or Tableau, whichever the customer already runs.
QA your own delivery before the customer sees it. Send platform gaps back to Product with a reproducible case.
You'll fit if
You have 3+ years shipping data work for people outside your own team: an agency, a consultancy, professional services, or an in-house analytics team with internal customers.
SQL is your first language and Python a comfortable second.
You've used Claude Code, Codex or Cursor for real work and can say where they go wrong.
You can hold a call with a marketing director and a data engineer in the same hour and both leave with a decision.
English C1 or better.
Helps
Ad-platform, GA4 or CRM data. dbt in production. MMM or attribution. Temporal or Airflow.
What we offer
Remote-first environment
Medical and dental benefits
401(k) plan
Paid time off and US holidays
Professional development reimbursement
Location: United States
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We're a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the role
Full-stack means you don't hand off. You connect the sources, model the data, transform it, build the dashboard and explain the numbers to the customer who paid for them, on three to six enterprise accounts at a time. If you've been the analyst who also had to be the analytics engineer and the account lead, and you liked it, this is that job with a platform and AI tooling behind you.
What you'll do
Own the chain for every account: source connection, ClickHouse and dbt model, QA, dashboard, weekly customer call.
Write SQL every day, and Python when a transformation or a delivery needs code.
Build reporting in Looker, Power BI or Tableau, and the model under it, so the numbers survive a finance review.
Find what's off in the data before the customer does, and say so plainly.
Use Claude Code to move faster and check its work harder.
You'll fit if
You have 3+ years as a marketing analyst, data analyst, BI developer or analytics engineer, with customers you had to keep, external or internal.
Expert SQL, working Python, one BI tool at expert level.
You've worked with several marketing sources at once (ad platforms, GA4, CRM), or can show the same with another messy multi-source domain.
English C1 or better. You present your own work.
Helps
dbt in production. Attribution or MMM. Agency background.
What we offer
Remote-first environment
Medical and dental benefits
401(k) plan
Paid time off and US holidays
Professional development reimbursement
United States
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Location: OH, United States
Improvado
is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the Role
The Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows.
We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients.
Responsibilities
Build and maintain dashboards and reports in
Looker, Power BI, and Tableau
— depending on client setup.
Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations.
Manage and enhance data transformations with
dbt
where necessary.
Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights.
Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness.
Use
Git
for version control and collaboration.
Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly.
Leverage
AI tools
to be 10x more productive than the average analyst.
Must Have Qualifications
3+ years of experience as Data Analyst
with marketing data
Expert-level proficiency in
at least one BI platform
(Looker, Power BI, or Tableau), with the ability to deliver projects across all.
Proficiency in SQL
Proficiency in
data modelling
(dbt preferred)
Knowledge of
Google Analytics
(advanced level, for business understanding)
Experience with
Git
English C1 level
with excellent written and verbal communication (
client-facing role
)
Strong analytical skills, proactive problem-solving, and high attention to detail
Comfortable with ambiguity and able to drive clarity with clients and internal teams
Hands-on experience with
QA/UAT processes
Proficiency with AI tools
and ability to learn new ways of working is essential
Nice to Have
Knowledge of
Google Analytics Data Streams
.
Familiarity with
marketing platforms data
(Google Ads, Facebook Ads, etc.).
Understanding of
Marketing Mix Modeling (MMM) concepts
.
Prior experience in marketing agency.
What We Offer
Remote-first environment.
Competitive base salary.
Stock options.
Medical, and dental benefits.
401K plan.
Unlimited PTO.
13 paid holidays.
Professional development reimbursement.
Location: United States
Improvado
is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the Role
The Senior Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows.
We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients.
Responsibilities
Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights.
Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup.
Design and maintain data models that consolidate data from multiple marketing platforms and sources.
Map and document data flows across complex, multi-source schemas.
Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly.
Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations.
Manage and enhance data transformations with dbt.
Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness.
Use Git for version control and collaboration.
Must Have Qualifications
Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all.
3+ years of SQL experience.
Proficiency with AI tools and ability to integrate them into daily workflows.
Experience working with multiple marketing data sources simultaneously (ad platforms, CRM, web analytics, etc.).
Understanding of data modeling principles (star schema, dimensional modeling).
Understanding of ELT/ETL concepts and debugging data transformation logic.
English C1 level with excellent written and verbal communication.
Ability to communicate directly with clients and stakeholders.
Takes ownership and responsibility for their work and results.
Can present their work and insights confidently to clients.
Consistently checks their own work for quality, accuracy, and completeness before delivery.
Strong analytical skills, proactive problem-solving, and close attention to detail.
Comfortable with ambiguity and able to drive clarity with clients and internal teams.
Hands-on experience with QA/UAT processes.
Nice to Have
Knowledge of Google Analytics (for business understanding).
Knowledge of Google Analytics Data Streams.
Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.).
Understanding of Marketing Mix Modeling (MMM) concepts.
dbt experience in analytics workflows.
Python or other scripting language for data analysis and automation.
Experience with data quality frameworks or data observability tools.
Familiarity with marketing attribution models.
What We Offer
Remote-first environment
Competitive compensation
Medical and dental benefits
401K plan
Unlimited PTO
Paid holidays
Professional development reimbursement
Location: United States
Improvado
is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the Role
The Senior Solutions Engineer's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows.
We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients.
Responsibilities
Build and maintain dashboards and reports in
Looker, Power BI, and Tableau
— depending on client setup.
Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations.
Manage and enhance data transformations with
dbt
where necessary.
Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights.
Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness.
Use
Git
for version control and collaboration.
Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly.
Leverage
AI tools
to be 10x more productive than the average analyst.
Must Have Qualifications
3+ years of experience as Data Analyst
with marketing data
Expert-level proficiency in
at least one BI platform
(Looker, Power BI, or Tableau), with the ability to deliver projects across all.
Proficiency in SQL
Proficiency in
data modelling
(dbt preferred)
Knowledge of
Google Analytics
(advanced level, for business understanding)
Experience with
Git
English C1 level
with excellent written and verbal communication (
client-facing role
)
Strong analytical skills, proactive problem-solving, and high attention to detail
Comfortable with ambiguity and able to drive clarity with clients and internal teams
Hands-on experience with
QA/UAT processes
Proficiency with AI tools
and ability to learn new ways of working is essential
Nice to Have
Knowledge of
Google Analytics Data Streams
.
Familiarity with
marketing platforms data
(Google Ads, Facebook Ads, etc.).
Understanding of
Marketing Mix Modeling (MMM) concepts
.
Prior experience in marketing agency.
What We Offer
Remote-first environment.
Competitive base salary.
Stock options.
Medical, and dental benefits.
401K plan.
Unlimited PTO.
13 paid holidays.
Professional development reimbursement.
Location: United States
Improvado
is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the Role
The Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows.
We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients.
Responsibilities
Build and maintain dashboards and reports in
Looker, Power BI, and Tableau
— depending on client setup.
Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations.
Manage and enhance data transformations with
dbt
where necessary.
Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights.
Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness.
Use
Git
for version control and collaboration.
Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly.
Leverage
AI tools
to be 10x more productive than the average analyst.
Must Have Qualifications
3+ years of experience as Data Analyst
with marketing data
Expert-level proficiency in
at least one BI platform
(Looker, Power BI, or Tableau), with the ability to deliver projects across all.
Proficiency in SQL
Proficiency in
data modelling
(dbt preferred)
Knowledge of
Google Analytics
(advanced level, for business understanding)
Experience with
Git
English C1 level
with excellent written and verbal communication (
client-facing role
)
Strong analytical skills, proactive problem-solving, and high attention to detail
Comfortable with ambiguity and able to drive clarity with clients and internal teams
Hands-on experience with
QA/UAT processes
Proficiency with AI tools
and ability to learn new ways of working is essential
Nice to Have
Knowledge of
Google Analytics Data Streams
.
Familiarity with
marketing platforms data
(Google Ads, Facebook Ads, etc.).
Understanding of
Marketing Mix Modeling (MMM) concepts
.
Prior experience in marketing agency.
What We Offer
Remote-first environment.
Competitive base salary.
Stock options.
Medical, and dental benefits.
401K plan.
Unlimited PTO.
13 paid holidays.
Professional development reimbursement.
Location: United States
Improvado
is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the Role
The Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows.
We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients.
Responsibilities
Build and maintain dashboards and reports in
Looker, Power BI, and Tableau
— depending on client setup.
Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations.
Manage and enhance data transformations with
dbt
where necessary.
Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights.
Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness.
Use
Git
for version control and collaboration.
Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly.
Leverage
AI tools
to be 10x more productive than the average analyst.
Must Have Qualifications
3+ years of experience as Data Analyst
with marketing data
Expert-level proficiency in
at least one BI platform
(Looker, Power BI, or Tableau), with the ability to deliver projects across all.
Proficiency in SQL
Proficiency in
data modelling
(dbt preferred)
Knowledge of
Google Analytics
(advanced level, for business understanding)
Experience with
Git
English C1 level
with excellent written and verbal communication (
client-facing role
)
Strong analytical skills, proactive problem-solving, and high attention to detail
Comfortable with ambiguity and able to drive clarity with clients and internal teams
Hands-on experience with
QA/UAT processes
Proficiency with AI tools
and ability to learn new ways of working is essential
Nice to Have
Knowledge of
Google Analytics Data Streams
.
Familiarity with
marketing platforms data
(Google Ads, Facebook Ads, etc.).
Understanding of
Marketing Mix Modeling (MMM) concepts
.
Prior experience in marketing agency.
What We Offer
Remote-first environment.
Competitive base salary.
Stock options.
Medical, and dental benefits.
401K plan.
Unlimited PTO.
13 paid holidays.
Professional development reimbursement.
Location: United States
Improvado
is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the Role
The Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows.
We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients.
Responsibilities
Build and maintain dashboards and reports in
Looker, Power BI, and Tableau
— depending on client setup.
Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations.
Manage and enhance data transformations with
dbt
where necessary.
Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights.
Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness.
Use
Git
for version control and collaboration.
Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly.
Leverage
AI tools
to be 10x more productive than the average analyst.
Must Have Qualifications
3+ years of experience as Data Analyst
with marketing data
Expert-level proficiency in
at least one BI platform
(Looker, Power BI, or Tableau), with the ability to deliver projects across all.
Proficiency in SQL
Proficiency in
data modelling
(dbt preferred)
Knowledge of
Google Analytics
(advanced level, for business understanding)
Experience with
Git
English C1 level
with excellent written and verbal communication (
client-facing role
)
Strong analytical skills, proactive problem-solving, and high attention to detail
Comfortable with ambiguity and able to drive clarity with clients and internal teams
Hands-on experience with
QA/UAT processes
Proficiency with AI tools
and ability to learn new ways of working is essential
Nice to Have
Knowledge of
Google Analytics Data Streams
.
Familiarity with
marketing platforms data
(Google Ads, Facebook Ads, etc.).
Understanding of
Marketing Mix Modeling (MMM) concepts
.
Prior experience in marketing agency.
What We Offer
Remote-first environment.
Competitive base salary.
Stock options.
Medical, and dental benefits.
401K plan.
Unlimited PTO.
13 paid holidays.
Professional development reimbursement.
Location: AL, United States
Improvado
is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the Role
The Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows.
We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients.
Responsibilities
Build and maintain dashboards and reports in
Looker, Power BI, and Tableau
— depending on client setup.
Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations.
Manage and enhance data transformations with
dbt
where necessary.
Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights.
Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness.
Use
Git
for version control and collaboration.
Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly.
Leverage
AI tools
to be 10x more productive than the average analyst.
Must Have Qualifications
3+ years of experience as Data Analyst
with marketing data
Expert-level proficiency in
at least one BI platform
(Looker, Power BI, or Tableau), with the ability to deliver projects across all.
Proficiency in SQL
Proficiency in
data modelling
(dbt preferred)
Knowledge of
Google Analytics
(advanced level, for business understanding)
Experience with
Git
English C1 level
with excellent written and verbal communication (
client-facing role
)
Strong analytical skills, proactive problem-solving, and high attention to detail
Comfortable with ambiguity and able to drive clarity with clients and internal teams
Hands-on experience with
QA/UAT processes
Proficiency with AI tools
and ability to learn new ways of working is essential
Nice to Have
Knowledge of
Google Analytics Data Streams
.
Familiarity with
marketing platforms data
(Google Ads, Facebook Ads, etc.).
Understanding of
Marketing Mix Modeling (MMM) concepts
.
Prior experience in marketing agency.
What We Offer
Remote-first environment.
Competitive base salary.
Stock options.
Medical, and dental benefits.
401K plan.
Unlimited PTO.
13 paid holidays.
Professional development reimbursement.
Location: GA, United States
Improvado
is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the Role
The Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows.
We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients.
Responsibilities
Build and maintain dashboards and reports in
Looker, Power BI, and Tableau
— depending on client setup.
Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations.
Manage and enhance data transformations with
dbt
where necessary.
Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights.
Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness.
Use
Git
for version control and collaboration.
Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly.
Leverage
AI tools
to be 10x more productive than the average analyst.
Must Have Qualifications
3+ years of experience as Data Analyst
with marketing data
Expert-level proficiency in
at least one BI platform
(Looker, Power BI, or Tableau), with the ability to deliver projects across all.
Proficiency in SQL
Proficiency in
data modelling
(dbt preferred)
Knowledge of
Google Analytics
(advanced level, for business understanding)
Experience with
Git
English C1 level
with excellent written and verbal communication (
client-facing role
)
Strong analytical skills, proactive problem-solving, and high attention to detail
Comfortable with ambiguity and able to drive clarity with clients and internal teams
Hands-on experience with
QA/UAT processes
Proficiency with AI tools
and ability to learn new ways of working is essential
Nice to Have
Knowledge of
Google Analytics Data Streams
.
Familiarity with
marketing platforms data
(Google Ads, Facebook Ads, etc.).
Understanding of
Marketing Mix Modeling (MMM) concepts
.
Prior experience in marketing agency.
What We Offer
Remote-first environment.
Competitive base salary.
Stock options.
Medical, and dental benefits.
401K plan.
Unlimited PTO.
13 paid holidays.
Professional development reimbursement.
Location: United States
Improvado
is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the Role
The Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows.
We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients.
Responsibilities
Build and maintain dashboards and reports in
Looker, Power BI, and Tableau
— depending on client setup.
Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations.
Manage and enhance data transformations with
dbt
where necessary.
Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights.
Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness.
Use
Git
for version control and collaboration.
Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly.
Leverage
AI tools
to be 10x more productive than the average analyst.
Must Have Qualifications
3+ years of experience as Data Analyst
with marketing data
Expert-level proficiency in
at least one BI platform
(Looker, Power BI, or Tableau), with the ability to deliver projects across all.
Proficiency in SQL
Proficiency in
data modelling
(dbt preferred)
Knowledge of
Google Analytics
(advanced level, for business understanding)
Experience with
Git
English C1 level
with excellent written and verbal communication (
client-facing role
)
Strong analytical skills, proactive problem-solving, and high attention to detail
Comfortable with ambiguity and able to drive clarity with clients and internal teams
Hands-on experience with
QA/UAT processes
Proficiency with AI tools
and ability to learn new ways of working is essential
Nice to Have
Knowledge of
Google Analytics Data Streams
.
Familiarity with
marketing platforms data
(Google Ads, Facebook Ads, etc.).
Understanding of
Marketing Mix Modeling (MMM) concepts
.
Prior experience in marketing agency.
What We Offer
Remote-first environment.
Competitive base salary.
Stock options.
Medical, and dental benefits.
401K plan.
Unlimited PTO.
13 paid holidays.
Professional development reimbursement.
Location: Georgia
Improvado is an AI-powered marketing intelligence platform trusted by enterprise brands like ASUS, Activision, Docker, and H&R Block. We raised $34M Series A and are scaling fast — which means our infrastructure needs to be rock-solid. We're looking for a DevOps/SysOps engineer who takes ownership and keeps things running.
What you'll do
Manage and evolve our cloud infrastructure on AWS/Azure (Kubernetes) - ensure cluster reliability: capacity planning, autoscaling, incident response, and post-mortems
Design and architect scalable, reliable infrastructure to support AI-driven analytics and data processing at scale
Build and maintain Helm charts, Terraform, and multi-environment setups
Own monitoring and alerting across the stack (Prometheus/Mimir, Grafana, CloudWatch)
Administer and optimize storages: PostgreSQL, ClickHouse, Redis
Support message brokers: RabbitMQ, AWS SQS, Temporal
Drive infrastructure security: secrets management, IAM policies, vulnerability scanning, and encryption
Own network design, configuration — VPCs, subnets, firewalls, load balancers, VPNs
Monitor and optimize cloud costs — identify waste, right-size resources, and report on spend efficiency
Participate in on-call rotation
What we're looking for
5+ years in a DevOps/SRE role
Solid hands-on experience with most of our stack (80%): AWS/Azure/GCP, Kubernetes (cluster design, capacity planning, and reliability at scale), Helm charts, CI/CD pipelines (GitHub CI), Terraform, PostgreSQL, ClickHouse, Redis, RabbitMQ, AWS SQS, Temporal, and monitoring/alerting stacks (Prometheus/Mimir, Grafana, CloudWatch)
AI-assisted development in practice — actively uses Claude Code / agentic coding to ship, knows where AI-generated code needs validation
Strong Linux fundamentals
Bash and/or Python scripting
Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee
Detail-oriented and pedantic, with sharp attention to detail in high-volume, high-stakes systems — accountable and genuinely invested in the quality of your work
EST timezone availability
Fluency in English
Nice to have
Golang or Python development background
HashiStack: Vault, Packer
ClickHouse administration
Experience supporting data-intensive pipelines
What we offer
Remote-first environment
20 days PTO + US holidays
Optional relocation support to Latin America
Modern AI-native tech stack
Stock options
Professional development reimbursement
A genuinely fun, transparent startup culture
seniorEST timezone availability; Optional relocation support to Latin America
Location: Armenia
Improvado is an AI-powered marketing intelligence platform trusted by enterprise brands like ASUS, Activision, Docker, and H&R Block. We raised $34M Series A and are scaling fast — which means our infrastructure needs to be rock-solid. We're looking for a DevOps/SysOps engineer who takes ownership and keeps things running.
What you'll do
Manage and evolve our cloud infrastructure on AWS/Azure (Kubernetes) - ensure cluster reliability: capacity planning, autoscaling, incident response, and post-mortems
Design and architect scalable, reliable infrastructure to support AI-driven analytics and data processing at scale
Build and maintain Helm charts, Terraform, and multi-environment setups
Own monitoring and alerting across the stack (Prometheus/Mimir, Grafana, CloudWatch)
Administer and optimize storages: PostgreSQL, ClickHouse, Redis
Support message brokers: RabbitMQ, AWS SQS, Temporal
Drive infrastructure security: secrets management, IAM policies, vulnerability scanning, and encryption
Own network design, configuration — VPCs, subnets, firewalls, load balancers, VPNs
Monitor and optimize cloud costs — identify waste, right-size resources, and report on spend efficiency
Participate in on-call rotation
What we're looking for
5+ years in a DevOps/SRE role
Solid hands-on experience with most of our stack (80%): AWS/Azure/GCP, Kubernetes (cluster design, capacity planning, and reliability at scale), Helm charts, CI/CD pipelines (GitHub CI), Terraform, PostgreSQL, ClickHouse, Redis, RabbitMQ, AWS SQS, Temporal, and monitoring/alerting stacks (Prometheus/Mimir, Grafana, CloudWatch)
AI-assisted development in practice — actively uses Claude Code / agentic coding to ship, knows where AI-generated code needs validation
Strong Linux fundamentals
Bash and/or Python scripting
Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee
Detail-oriented and pedantic, with sharp attention to detail in high-volume, high-stakes systems — accountable and genuinely invested in the quality of your work
EST timezone availability
Fluency in English
Nice to have
Golang or Python development background
HashiStack: Vault, Packer
ClickHouse administration
Experience supporting data-intensive pipelines
What we offer
Remote-first environment
20 days PTO + US holidays
Optional relocation support to Latin America
Modern AI-native tech stack
Stock options
Professional development reimbursement
A genuinely fun, transparent startup culture
seniorEST timezone availability; Optional relocation support to Latin America
Location: Brazil
Improvado is an AI-powered marketing intelligence platform trusted by enterprise brands like ASUS, Activision, Docker, and H&R Block. We raised $34M Series A and are scaling fast — which means our infrastructure needs to be rock-solid. We're looking for a DevOps/SysOps engineer who takes ownership and keeps things running.
What you'll do
Manage and evolve our cloud infrastructure on AWS/Azure (Kubernetes) - ensure cluster reliability: capacity planning, autoscaling, incident response, and post-mortems
Design and architect scalable, reliable infrastructure to support AI-driven analytics and data processing at scale
Build and maintain Helm charts, Terraform, and multi-environment setups
Own monitoring and alerting across the stack (Prometheus/Mimir, Grafana, CloudWatch)
Administer and optimize storages: PostgreSQL, ClickHouse, Redis
Support message brokers: RabbitMQ, AWS SQS, Temporal
Drive infrastructure security: secrets management, IAM policies, vulnerability scanning, and encryption
Own network design, configuration — VPCs, subnets, firewalls, load balancers, VPNs
Monitor and optimize cloud costs — identify waste, right-size resources, and report on spend efficiency
Participate in on-call rotation
What we're looking for
5+ years in a DevOps/SRE role
Solid hands-on experience with most of our stack (80%): AWS/Azure/GCP, Kubernetes (cluster design, capacity planning, and reliability at scale), Helm charts, CI/CD pipelines (GitHub CI), Terraform, PostgreSQL, ClickHouse, Redis, RabbitMQ, AWS SQS, Temporal, and monitoring/alerting stacks (Prometheus/Mimir, Grafana, CloudWatch)
AI-assisted development in practice — actively uses Claude Code / agentic coding to ship, knows where AI-generated code needs validation
Strong Linux fundamentals
Bash and/or Python scripting
Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee
Detail-oriented and pedantic, with sharp attention to detail in high-volume, high-stakes systems — accountable and genuinely invested in the quality of your work
EST timezone availability
Fluency in English
Nice to have
Golang or Python development background
HashiStack: Vault, Packer
ClickHouse administration
Experience supporting data-intensive pipelines
What we offer
Remote-first environment
20 days PTO + US holidays
Optional relocation support to Latin America
Modern AI-native tech stack
Stock options
Professional development reimbursement
A genuinely fun, transparent startup culture
seniorEST timezone availability; Optional relocation support to Latin America
Location: Argentina
Improvado is an AI-powered marketing intelligence platform trusted by enterprise brands like ASUS, Activision, Docker, and H&R Block. We raised $34M Series A and are scaling fast — which means our infrastructure needs to be rock-solid. We're looking for a DevOps/SysOps engineer who takes ownership and keeps things running.
What you'll do
Manage and evolve our cloud infrastructure on AWS/Azure (Kubernetes) - ensure cluster reliability: capacity planning, autoscaling, incident response, and post-mortems
Design and architect scalable, reliable infrastructure to support AI-driven analytics and data processing at scale
Build and maintain Helm charts, Terraform, and multi-environment setups
Own monitoring and alerting across the stack (Prometheus/Mimir, Grafana, CloudWatch)
Administer and optimize storages: PostgreSQL, ClickHouse, Redis
Support message brokers: RabbitMQ, AWS SQS, Temporal
Drive infrastructure security: secrets management, IAM policies, vulnerability scanning, and encryption
Own network design, configuration — VPCs, subnets, firewalls, load balancers, VPNs
Monitor and optimize cloud costs — identify waste, right-size resources, and report on spend efficiency
Participate in on-call rotation
What we're looking for
5+ years in a DevOps/SRE role
Solid hands-on experience with most of our stack (80%): AWS/Azure/GCP, Kubernetes (cluster design, capacity planning, and reliability at scale), Helm charts, CI/CD pipelines (GitHub CI), Terraform, PostgreSQL, ClickHouse, Redis, RabbitMQ, AWS SQS, Temporal, and monitoring/alerting stacks (Prometheus/Mimir, Grafana, CloudWatch)
AI-assisted development in practice — actively uses Claude Code / agentic coding to ship, knows where AI-generated code needs validation
Strong Linux fundamentals
Bash and/or Python scripting
Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee
Detail-oriented and pedantic, with sharp attention to detail in high-volume, high-stakes systems — accountable and genuinely invested in the quality of your work
EST timezone availability
Fluency in English
Nice to have
Golang or Python development background
HashiStack: Vault, Packer
ClickHouse administration
Experience supporting data-intensive pipelines
What we offer
Remote-first environment
20 days PTO + US holidays
Optional relocation support to Latin America
Modern AI-native tech stack
Stock options
Professional development reimbursement
A genuinely fun, transparent startup culture
seniorEST timezone availability; Optional relocation support to Latin America
Location: Serbia
Improvado is an AI-powered marketing intelligence platform trusted by enterprise brands like ASUS, Activision, Docker, and H&R Block. We raised $34M Series A and are scaling fast — which means our infrastructure needs to be rock-solid. We're looking for a DevOps/SysOps engineer who takes ownership and keeps things running.
What you'll do
Manage and evolve our cloud infrastructure on AWS/Azure (Kubernetes) - ensure cluster reliability: capacity planning, autoscaling, incident response, and post-mortems
Design and architect scalable, reliable infrastructure to support AI-driven analytics and data processing at scale
Build and maintain Helm charts, Terraform, and multi-environment setups
Own monitoring and alerting across the stack (Prometheus/Mimir, Grafana, CloudWatch)
Administer and optimize storages: PostgreSQL, ClickHouse, Redis
Support message brokers: RabbitMQ, AWS SQS, Temporal
Drive infrastructure security: secrets management, IAM policies, vulnerability scanning, and encryption
Own network design, configuration — VPCs, subnets, firewalls, load balancers, VPNs
Monitor and optimize cloud costs — identify waste, right-size resources, and report on spend efficiency
Participate in on-call rotation
What we're looking for
5+ years in a DevOps/SRE role
Solid hands-on experience with most of our stack (80%): AWS/Azure/GCP, Kubernetes (cluster design, capacity planning, and reliability at scale), Helm charts, CI/CD pipelines (GitHub CI), Terraform, PostgreSQL, ClickHouse, Redis, RabbitMQ, AWS SQS, Temporal, and monitoring/alerting stacks (Prometheus/Mimir, Grafana, CloudWatch)
AI-assisted development in practice — actively uses Claude Code / agentic coding to ship, knows where AI-generated code needs validation
Strong Linux fundamentals
Bash and/or Python scripting
Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee
Detail-oriented and pedantic, with sharp attention to detail in high-volume, high-stakes systems — accountable and genuinely invested in the quality of your work
EST timezone availability
Fluency in English
Nice to have
Golang or Python development background
HashiStack: Vault, Packer
ClickHouse administration
Experience supporting data-intensive pipelines
What we offer
Remote-first environment
20 days PTO + US holidays
Optional relocation support to Latin America
Modern AI-native tech stack
Stock options
Professional development reimbursement
A genuinely fun, transparent startup culture
seniorEST timezone availability; Optional relocation support to Latin America
Location: Uruguay
Improvado is an AI-powered marketing intelligence platform trusted by enterprise brands like ASUS, Activision, Docker, and H&R Block. We raised $34M Series A and are scaling fast — which means our infrastructure needs to be rock-solid. We're looking for a DevOps/SysOps engineer who takes ownership and keeps things running.
What you'll do
Manage and evolve our cloud infrastructure on AWS/Azure (Kubernetes) - ensure cluster reliability: capacity planning, autoscaling, incident response, and post-mortems
Design and architect scalable, reliable infrastructure to support AI-driven analytics and data processing at scale
Build and maintain Helm charts, Terraform, and multi-environment setups
Own monitoring and alerting across the stack (Prometheus/Mimir, Grafana, CloudWatch)
Administer and optimize storages: PostgreSQL, ClickHouse, Redis
Support message brokers: RabbitMQ, AWS SQS, Temporal
Drive infrastructure security: secrets management, IAM policies, vulnerability scanning, and encryption
Own network design, configuration — VPCs, subnets, firewalls, load balancers, VPNs
Monitor and optimize cloud costs — identify waste, right-size resources, and report on spend efficiency
Participate in on-call rotation
What we're looking for
5+ years in a DevOps/SRE role
Solid hands-on experience with most of our stack (80%): AWS/Azure/GCP, Kubernetes (cluster design, capacity planning, and reliability at scale), Helm charts, CI/CD pipelines (GitHub CI), Terraform, PostgreSQL, ClickHouse, Redis, RabbitMQ, AWS SQS, Temporal, and monitoring/alerting stacks (Prometheus/Mimir, Grafana, CloudWatch)
AI-assisted development in practice — actively uses Claude Code / agentic coding to ship, knows where AI-generated code needs validation
Strong Linux fundamentals
Bash and/or Python scripting
Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee
Detail-oriented and pedantic, with sharp attention to detail in high-volume, high-stakes systems — accountable and genuinely invested in the quality of your work
EST timezone availability
Fluency in English
Nice to have
Golang or Python development background
HashiStack: Vault, Packer
ClickHouse administration
Experience supporting data-intensive pipelines
What we offer
Remote-first environment
20 days PTO + US holidays
Optional relocation support to Latin America
Modern AI-native tech stack
Stock options
Professional development reimbursement
A genuinely fun, transparent startup culture
seniorEST timezone availability; Optional relocation support to Latin America
middleOH, United States
seniorUnited States
seniorUnited States
United States
United States
United States
AL, United States
GA, United States
United States
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