Location: Cairo, Egypt
Workplace: remote
To be added
Key Responsibilities
Moderation system monitoring
Blocking users who violate the rules of the service
Removing inappropriate content (Adult Nudity, Illegal Goods, Bullying, Harassment, Hate Speech, etc.)
Keeping track of inappropriate orders in Google Sheets as required
Compiling a list of words for censorship
Conducting labeling of various datasets
Other relevant tasks as required
Skills, Knowledge and Expertise
Arabic Language: Native
English: B1 (preferable)
PC knowledge: confident user
Strong cultural background
Location: Cairo, Egypt
Workplace: onsite
To be added
Key Responsibilities
Moderation system monitoring
Blocking users who violate the rules of the service
Removing inappropriate content (Adult Nudity, Illegal Goods, Bullying, Harassment, Hate Speech, etc.)
Keeping track of inappropriate orders in Google Sheets as required
Compiling a list of words for censorship
Conducting labeling of various datasets
Other relevant tasks as required
Skills, Knowledge and Expertise
Arabic Language: Native
English: B1 (preferable)
PC knowledge: confident user
Strong cultural background
Location: Stamford, Connecticut, United States
About the Role
iCapital is seeking a detail-oriented and technically capable Associate to join the Data Feed Operations team within Data Solutions. This role sits at the intersection of investment operations, data analysis, and technical data management, with a focus on supporting the quality and reliability of post-trade investment data.
This hands-on, highly collaborative role partners across technical and business teams to solve complex data challenges and support scalable data operations within a fast-moving financial technology environment.
Responsibilities
Monitor inbound and outbound data feeds, APIs, file-based integrations, processing results, validations, deliveries, and service exceptions.
Reconcile investment positions, transactions, valuations, cash activity, and related reporting data across source systems and downstream outputs.
Investigate data-quality exceptions and feed breaks, determine root cause, document findings, and coordinate remediation with internal and external partners.
Certify the completeness and accuracy of reporting data before publication, migration acceptance, or client and partner delivery.
Use SQL to analyze relational data, validate populations, trace lineage, identify anomalies, and produce repeatable reconciliation evidence.
Use analytical and automation tools to develop controls, transform and compare data sets, reduce manual analysis, and support scalable monitoring and reconciliation workflows.
Document feed specifications, source-to-target mappings, business rules, procedures, controls, issue histories, and certification evidence.
Translate operational issues and recurring break patterns into actionable requirements for the Product and Engineering teams.
Participate in testing and certification for new feeds, feed changes and platform migrations.
Provide clear status updates and respond to client, partner, and internal stakeholder questions regarding feed health, data quality, and issue resolution.
Help define and track operational measures such as feed timeliness, successful delivery, break recurrence, resolution time, certification status, and data adoption.
Qualifications
3-5 years of relevant experience in data operations, investment operations, data analysis, financial technology, performance reporting, fund administration, or in a related field
Advanced SQL skills and experience analyzing data in relational databases, including cloud data platforms such as Snowflake or PostgreSQL
Experience working with APIs, file-based integrations, external data-provider workflows, ETL or ELT processes, data pipelines, or orchestration workflows
Experience monitoring data feeds, investigating exceptions, reconciling data, and documenting mappings or business rules
Experience with investment positions, transactions, valuations, capital activity, partner capital account data, or general-ledger data
Working knowledge of alternative investments, private markets, wealth management, investment performance reporting, or fund accounting
Python experience for data analysis, validation, automation, or reconciliation
Experience supporting data migrations, source-system conversions, or implementation testing in a controlled production environment
Strong analytical judgment and a structured approach to root-cause analysis and problem solving
Excellent attention to detail, with the ability to manage multiple priorities in a fast-paced environment
Strong written and verbal communication skills, with the ability to work effectively across business and technical teams, take ownership of issues through resolution, and contribute as a collaborative team member
Benefits
The base salary range for this role is $75,000 to $85,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
X: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
|
Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: Remote
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Integrations Associate to join our Feed Integrations Team. This role will report to the Feed Integrations Manager. In this role, you’ll be responsible for the maintenance and optimization of eligibility and claims data feeds that are foundational to Garner’s healthcare platform.
This position blends technical acumen with cross-functional collaboration. You’ll serve as a key point of contact for external partners, including health insurance carriers, TPAs, and benefits administrators, while working closely with internal teams to identify opportunities for automation and efficiency gains.
This is a mission-critical role, managing the data infrastructure that directly impacts our clients’ success and our product performance.
Where you will work:
Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ.
What you will do:
Lead implementations of new client eligibility and claims data integration feeds
Own maintenance and improvement of existing eligibility and claims data integration feeds
Conduct in-depth data analysis and error reporting to validate feed performance and troubleshoot discrepancies
Collaborate with external feed providers to gather technical requirements, map files, test integrations, and resolve issues for renewing clients
Contribute to the continuous improvement of internal tools, documentation, and processes
The ideal candidate has:
Analytical mindset with a keen attention to detail and a drive for root-cause problem solving
0 - 5 years of experience with healthcare data, including eligibility and claims file formats (e.g., EDI 834, 837, custom flat files)
Familiarity with data integration protocols such as SFTP, encryption standards (e.g., PGP), and file transformation/mapping
Strong communication skills with experience working cross-functionally and externally with partners
A proactive, collaborative approach and a willingness to get hands-on with complex work
Passion for transforming healthcare and improving outcomes for members and clients
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
What you'll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Compensation Transparency:
The base salary range for this position is $54,000 - $70,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Limassol, Cyprus
Spotware Systems is looking for a hands-on
Media Buying Operations Manager
for our new direct-to-consumer trading product built on the cTrader ecosystem. You will build, run, and scale the media-buying network and the ad-ops / martech spine - turning testing funnels and cohorts into registered, funded, and actively trading cTrader users.
Responsibilities
Source, onboard, and manage a network of external performance-pay media-buying units.
Set the units' pay schemes (fixed + performance) and allocate them across funnel × geo, deploying onto winning combinations.
Scale the network as testing widens, cut underperformers, and own the unit-count ramp against live cost-per-funded-account and conversion-rate signal.
Launch the first geos hands-on - run the initial media-buying units yourself, as a buyer, until the external network is stood up.
Run QA and anti-fraud on unit output, and reconcile performance-based payouts against verified funded accounts.
Be the single point of contact between the in-house team and the external units - give them clear briefs (offer, brand and creative guidelines, tracking setup), collect their performance data, and feed it back into what we test, prioritize, and scale next.
Own advertising accounts, tracking pixels, server-side tracking, mobile attribution, and first-party data in-house.
Report acquisition performance against CAC, funded-account quality, and net deposit, working with the analyst on the measurement spine.
Requirements
5+ years in performance marketing / paid UA, owning budgets and scaling spend to six figures/month against CPA and volume targets.
Proven track record building and managing a network of external buyers / buying teams / JV partners - sourcing, perf-pay deals, allocation, anti-fraud, payout reconciliation - not just running own campaigns.
High-CPA, conversion-driven vertical experience (iGaming, gambling, forex / CFD, crypto, dating, nutra).
Hands-on ownership of the ad-ops / martech stack - ad accounts, pixels, conversion APIs, trackers (Voluum / Keitaro / RedTrack), product analytics (Amplitude / PostHog / Mixpanel), MMP (AppsFlyer / Adjust).
Multi-geo acquisition, ideally across emerging markets (Tier 2-3), with localization handled at the unit level.
Strong analytical command - reads funnel / cohort data and acts on unit economics (CAC, LTV, payback, net deposit, retention).
AI-native by default - runs the network and stack on AI and automation, with minimal manual labor.
Soft skills: hands-on operator (not a pure manager), comfortable with ambiguity and autonomy, clear communicator across commercial, creative, and technical counterparts.
Conditions
Private medical insurance.
Relocation support (if applicable), including an entry permit, relocation bonus, flight tickets, and airport pickup.
Support with settling into life in Cyprus, including basic guidance on everyday matters, accommodation, banking, and healthcare.
A comfortable office environment with fresh fruits every day, treats or pizza on Wednesdays, and snack day on Fridays.
Fair remuneration based on your experience, skills, and level of responsibility.
Welcome Baby Bonus and Baby Box to celebrate the arrival of a child.
Birthday voucher.
Partial compensation for sports activities and wellness initiatives.
Greek language classes.
Location: Limassol, Cyprus
Spotware Systems is looking for a Customer Success Manager to retain and grow corporate clients using the Spotware products by acting as their trusted advisor. The Customer Success Manager owns the client relationship end to end: onboarding and configuration guidance and follow ups, proactive account management, adoption and utilisation growth, and the translation of client business needs into clear, testable requirements for Product, Engineering and Support. The role strengthens satisfaction and loyalty, identifies and mitigates churn and relationship risks, and feeds structured insight back into product, service and commercial decisions.
Requirements
3+ years in a client-facing role (Customer Success, Account Management, Business Analysis or Onboarding) in fintech or trading software, with a track record of retaining and growing corporate accounts.
Good working knowledge of FX/CFD trading - how prices are formed, how orders are placed and filled, how leverage and margin work, and a general sense of how brokers manage risk - plus an interest in understanding execution quality (fair fills, slippage, unusual trading patterns).
Ability to analyse usage, execution data and client feedback to identify risks, needs and improvement opportunities, and to turn them into structured recommendations.
Experience organising and delivering client training, onboarding sessions, webinars or other enablement activities.
Good MS Excel skills and comfort working with large trading datasets.
Practical daily use of AI tools to accelerate analysis, documentation, client communication, reporting and enablement, with the judgement to validate outputs before use.
Excellent verbal and written communication skills in English; clear, structured communicator.
Nice to have:
Experience with liquidity bridges and aggregators
Responsibilities
Client success and consultative support:
provide consultative support to corporate clients on company products and services;
resolve client questions, issues, and requests promptly and professionally;
help clients understand product functionality and use the platform more effectively;
maintain regular communication with clients to strengthen satisfaction, loyalty, and long-term cooperation.
Platform usage and client value:
analyze how clients use the products and identify opportunities to increase product value for them;
guide clients toward more effective, beneficial, and informed use of company products;
identify usage gaps, adoption barriers, recurring questions, and improvement opportunities;
support client success goals through structured recommendations and follow-ups.
Training and enablement:
organize and conduct client training programs, seminars, and webinars;
prepare materials and guidance that help clients improve their proficiency in using company products;
adapt training and enablement activities to client needs, product updates, and common usage challenges.
Feedback, data, and improvement initiatives:
collect and analyze client feedback to identify product, service, and process improvement opportunities;
collect and analyze client data to support strategic initiatives for service and product improvement;
manage client-related changes and communicate relevant needs or risks to internal teams;
respond quickly to situations that may negatively affect client relationships.
Cross-functional collaboration:
coordinate with Sales, Marketing, Product, Support, Billing, Technical, and Development teams to achieve client success goals;
communicate client needs, feedback, risks, and opportunities to relevant stakeholders;
support alignment between commercial, product, and technical teams around client priorities.
AI-assisted work:
use AI tools to improve client analysis, communication drafting, meeting preparation, feedback analysis, training materials, reporting, and process efficiency;
validate AI-generated outputs before using them in client communication, reporting, or internal documentation.
Conditions
Private medical insurance.
Relocation support (if applicable), including an entry permit, relocation bonus, flight tickets, and airport pickup.
Support with settling into life in Cyprus, including basic guidance on everyday matters, accommodation, banking, and healthcare.
A comfortable office environment with fresh fruits every day, treats or pizza on Wednesdays, and snack day on Fridays.
Fair remuneration based on your experience, skills, and level of responsibility.
Welcome Baby Bonus and Baby Box to celebrate the arrival of a child.
Birthday voucher.
Partial compensation for sports activities and wellness initiatives.
Greek language classes.
Location: ., United Kingdom
Workplace: remote
Here at Scede, we enable scaling companies to achieve hiring success. Since 2013, we’ve built incredible teams for 150+ tech companies and games studios in Europe and North America via our flexible, subscription-based or pay-as-you-go recruitment solutions.
We see recruitment as a craft, and focus on the enablement and empowerment of our teams to help us achieve our #1 business objective; to deliver an exceptional service to our customers. Our Talent Partners have hired top talent into the teams of 27 Unicorns, including Klarna, Graphcore, Trustpilot, Mollie and Trade Republic to name a few.
About Scede Source
Not every company needs a full embedded team. Some have a handful of roles that really matter and need them done well. Scede Source is how we help them. It’s a focused 30-day sourcing sprint for each role, where we source, screen and shortlist.
As our next Talent Partner, you'll:
Run between 1-5 sprints at once across tech, product, go-to-market and games
Hold weekly updates with hiring managers so they always know where things stand
Use funnel data to spot when a role is stalling and work out why
Utilise AI and be curious about new ways it can be used within your sourcing and strategy
Push back with evidence when a brief doesn’t match the market
Feed what you learn back into how we run Source
We'd love it if:
You’ve recruited in tech or games, whether that was embedded, in-house, RPO or agency.
You love to source! You can build sourcing strategies, utilising AI, available platforms and current market trends to seek out those hard to find candidates.
You treat recruitment as a craft. You want to know why something works, not just tick off the steps.
You can recognise quickly when something isn't going to plan and can pivot your approach and strategy.
You can interpret and use data to influence your hiring managers, presenting the facts to make the changes needed to make the hire.
You talk openly about what’s gone wrong and what you learned from it.
You can work autonomously.
You’re comfortable working remotely and staying connected with a distributed team.
Benefits
The autonomy, trust, and flexibility of a 100% remote-first company. You're empowered to work from home or wherever you feel you work best. We've found that a positive work-life balance for all is much more accessible this way.
Private medical and dental cover.
Discounts and perks across retail, travel, leisure, and entertainment.
Monthly "Best Self" allowance to invest in something that works for you, such as subscriptions to Spotify or Audible, gym memberships, a meal at your favourite restaurant, and more.
On top of 23 days of paid leave (pro rata), you also have your birthday off to celebrate, and 3 extra days off between Christmas and New Year.
Location: London, United Kingdom
Workplace: hybrid
The Commercial Lead will own the sales pipeline and revenue, driving outbound sales and managing complex B2B deals with AI and data companies, from qualification and pilots to recurring contracts. The role also includes developing strategic partnerships and channels, shaping pricing and commercial terms, and bringing customer demand and market insights back to product and operations.
Key Responsibilities
Own the pipeline and the number
Build and run outbound to AI labs, applied AI companies, and data vendors who need collection capacity they don't have in-house.
Qualify hard and early: match buyer requirements against what our network can realistically deliver, and walk away from deals that don't fit.
Run complex, technical deals
Sell to technical buyers - data leads, research managers, ML and data ops teams - in long, spec-heavy, consultative cycles.
Collect buyer requirements (languages, demographics, modality, annotation depth, licensing scope), push back when a spec isn't deliverable.
Manage pilots and convert them into recurring volume.
Shape pricing and commercial framework
Own our price book across modalities (per audio hour, per image, per video hour, per annotated unit) and defend margin against buyer pressure and vendor benchmarks.
Alongside with the business unit leader work with legal, privacy and tax on DPAs, consent frameworks,contracts across multiple jurisdictions.
Build the channel
Develop partnerships with data vendors and platforms who can route demand to us where we have coverage they lack.
Represent DataTasks at the venues where this market actually buys - research conferences, data and AI events, and buyer-side procurement teams.
Feed the roadmap
Bring structured demand signal back into product and operations
Qualifications
Must have
Experience in B2B sales, business or commercial roles, with a track record of closing complex deals you personally sourced and ran.
Direct experience in AI/ML data, data annotation and labelling services, data licensing, or a closely adjacent technical services market.
Comfort selling to technical and research buyers.
Genuine zero-to-one appetite. There is no inbound, no established brand in this market, and no playbook to inherit.
Fluent English, written and spoken, at a level suitable for negotiating with US and EU counterparties.
Nice to have
An existing network among AI labs, data vendors, or enterprise AI teams.
Experience operating in or selling data from emerging markets.
Working knowledge of data protection regimes (GDPR, LGPD, and equivalents in our operating markets).
Additional languages, particularly Spanish, Portuguese or Russian.
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries
Develop your professional skills with access to mentoring, career consulting, and learning programs
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
Work alongside people who take initiative, speak openly, and challenge themselves to grow
Improve your language skills through co-financed courses and internal speaking clubs
Final benefits may vary depending on the location.
Location: Jakarta, Indonesia
Workplace: hybrid
inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership.
We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence.
Key Responsibilities
Business & planning
Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed
Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders
Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion
Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets
Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences
Forecast production
Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift
Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix
Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication.
Keep the solution maintainable: readable Python, documentation, versioned changes
Skills, Knowledge and Expertise
4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science
Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series
Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models
Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase
Advanced SQL and experience with large datasets in a cloud data warehouse
Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact
Ownership mindset: comfortable investigating issues across data, model, and integration boundaries
Professional working proficiency in English and the ability to defend a number in front of senior stakeholders
Nice to have:
Background in mobility, marketplaces or other supply-and-demand systems
Experience supporting financial planning, S&OP or budgeting processes
Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback)
Hierarchical forecasting across multiple markets
Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD
Technology environment
Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job.
Why join us
Help us challenge injustice by creating fair choices for millions of people across 48 countries
Develop your professional skills with access to mentoring, career consulting, and learning programs
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
Work alongside people who take initiative, speak openly, and challenge themselves to grow
Improve your language skills through co-financed courses and internal speaking clubs
Final benefits may vary depending on the location.
Location: Limassol, Cyprus
Workplace: hybrid
inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership.
We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence.
Key Responsibilities
Business & planning
Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed
Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders
Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion
Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets
Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences
Forecast production
Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift
Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix
Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication.
Keep the solution maintainable: readable Python, documentation, versioned changes
Skills, Knowledge and Expertise
4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science
Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series
Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models
Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase
Advanced SQL and experience with large datasets in a cloud data warehouse
Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact
Ownership mindset: comfortable investigating issues across data, model, and integration boundaries
Professional working proficiency in English and the ability to defend a number in front of senior stakeholders
Nice to have:
Background in mobility, marketplaces or other supply-and-demand systems
Experience supporting financial planning, S&OP or budgeting processes
Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback)
Hierarchical forecasting across multiple markets
Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD
Technology environment
Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job.
Why join us
Help us challenge injustice by creating fair choices for millions of people across 48 countries
Develop your professional skills with access to mentoring, career consulting, and learning programs
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
Work alongside people who take initiative, speak openly, and challenge themselves to grow
Improve your language skills through co-financed courses and internal speaking clubs
Annual salary from EUR 70 700 gross
Final benefits may vary depending on the location.
Location: Almaty, Kazakhstan
Workplace: hybrid
inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership.
We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence.
Key Responsibilities
Business & planning
Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed
Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders
Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion
Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets
Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences
Forecast production
Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift
Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix
Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication.
Keep the solution maintainable: readable Python, documentation, versioned changes
Skills, Knowledge and Expertise
4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science
Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series
Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models
Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase
Advanced SQL and experience with large datasets in a cloud data warehouse
Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact
Ownership mindset: comfortable investigating issues across data, model, and integration boundaries
Professional working proficiency in English and the ability to defend a number in front of senior stakeholders
Nice to have:
Background in mobility, marketplaces or other supply-and-demand systems
Experience supporting financial planning, S&OP or budgeting processes
Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback)
Hierarchical forecasting across multiple markets
Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD
Technology environment
Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job.
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.
Location: Limassol, Cyprus
Workplace: hybrid
The Commercial Lead will own the sales pipeline and revenue, driving outbound sales and managing complex B2B deals with AI and data companies, from qualification and pilots to recurring contracts. The role also includes developing strategic partnerships and channels, shaping pricing and commercial terms, and bringing customer demand and market insights back to product and operations.
Key Responsibilities
Own the pipeline and the number
Build and run outbound to AI labs, applied AI companies, and data vendors who need collection capacity they don't have in-house.
Qualify hard and early: match buyer requirements against what our network can realistically deliver, and walk away from deals that don't fit.
Run complex, technical deals
Sell to technical buyers - data leads, research managers, ML and data ops teams - in long, spec-heavy, consultative cycles.
Collect buyer requirements (languages, demographics, modality, annotation depth, licensing scope), push back when a spec isn't deliverable.
Manage pilots and convert them into recurring volume.
Shape pricing and commercial framework
Own our price book across modalities (per audio hour, per image, per video hour, per annotated unit) and defend margin against buyer pressure and vendor benchmarks.
Alongside with the business unit leader work with legal, privacy and tax on DPAs, consent frameworks,contracts across multiple jurisdictions.
Build the channel
Develop partnerships with data vendors and platforms who can route demand to us where we have coverage they lack.
Represent DataTasks at the venues where this market actually buys - research conferences, data and AI events, and buyer-side procurement teams.
Feed the roadmap
Bring structured demand signal back into product and operations
Qualifications
Must have
Experience in B2B sales, business or commercial roles, with a track record of closing complex deals you personally sourced and ran.
Direct experience in AI/ML data, data annotation and labelling services, data licensing, or a closely adjacent technical services market.
Comfort selling to technical and research buyers.
Genuine zero-to-one appetite. There is no inbound, no established brand in this market, and no playbook to inherit.
Fluent English, written and spoken, at a level suitable for negotiating with US and EU counterparties.
Nice to have
An existing network among AI labs, data vendors, or enterprise AI teams.
Experience operating in or selling data from emerging markets.
Working knowledge of data protection regimes (GDPR, LGPD, and equivalents in our operating markets).
Additional languages, particularly Spanish, Portuguese or Russian.
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries
Develop your professional skills with access to mentoring, career consulting, and learning programs
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
Work alongside people who take initiative, speak openly, and challenge themselves to grow
Improve your language skills through co-financed courses and internal speaking clubs
Annual salary from 75 600 EUR gross
Final benefits may vary depending on the location.
Location: El Salvador
The Role
You'll own paid media end to end for a set of DTC and e-commerce accounts: onboarding a new client, building their accounts from scratch, and running live campaigns against revenue targets. You're the person the client speaks to about their spend. You explain what's working, what isn't, and what you're doing about it.
This is a hands-on seat, not an oversight one. You run the accounts yourself.
What You Own
Onboarding a new client
Lead the kickoff: budgets, targets (CPA/ROAS), audiences, and reporting cadence
Audit existing ad accounts, tracking setup, and creative libraries before anything goes live
Agree what good looks like in month one, three, and six
Setting up
Configure ad accounts, pixels, CAPI, and conversion tracking
Build the account structure: campaigns, ad sets, audiences, budget splits
Brief creative and feed requirements to the studio team
Running the account
Launch, monitor, and optimise daily against KPIs
Manage budget pacing and move spend where it performs
Run creative, audience, and bidding tests, then scale what works
Own the weekly and monthly client reporting and walk clients through it
Flag risks early. If a target is slipping, the client hears it from you first, with a plan
What You Need
3+ years buying paid media, hands-on, across Meta and Google (TikTok a plus)
A track record in DTC or e-commerce where you owned ROAS or CPA and can talk through specific accounts
Comfortable running client calls solo, including the difficult ones about performance
Strong on tracking and attribution: GA4, pixel, CAPI, and reading the data behind a result
Able to run several accounts at once, start to finish, and keep each one on plan
Nice to Have
Agency background running multiple clients
Feed management and Google Shopping experience
A creative testing framework you've actually used
Location: Nicaragua
The Role
You'll own paid media end to end for a set of DTC and e-commerce accounts: onboarding a new client, building their accounts from scratch, and running live campaigns against revenue targets. You're the person the client speaks to about their spend. You explain what's working, what isn't, and what you're doing about it.
This is a hands-on seat, not an oversight one. You run the accounts yourself.
What You Own
Onboarding a new client
Lead the kickoff: budgets, targets (CPA/ROAS), audiences, and reporting cadence
Audit existing ad accounts, tracking setup, and creative libraries before anything goes live
Agree what good looks like in month one, three, and six
Setting up
Configure ad accounts, pixels, CAPI, and conversion tracking
Build the account structure: campaigns, ad sets, audiences, budget splits
Brief creative and feed requirements to the studio team
Running the account
Launch, monitor, and optimise daily against KPIs
Manage budget pacing and move spend where it performs
Run creative, audience, and bidding tests, then scale what works
Own the weekly and monthly client reporting and walk clients through it
Flag risks early. If a target is slipping, the client hears it from you first, with a plan
What You Need
3+ years buying paid media, hands-on, across Meta and Google (TikTok a plus)
A track record in DTC or e-commerce where you owned ROAS or CPA and can talk through specific accounts
Comfortable running client calls solo, including the difficult ones about performance
Strong on tracking and attribution: GA4, pixel, CAPI, and reading the data behind a result
Able to run several accounts at once, start to finish, and keep each one on plan
Nice to Have
Agency background running multiple clients
Feed management and Google Shopping experience
A creative testing framework you've actually used
Location: Colombia
The Role
You'll own paid media end to end for a set of DTC and e-commerce accounts: onboarding a new client, building their accounts from scratch, and running live campaigns against revenue targets. You're the person the client speaks to about their spend. You explain what's working, what isn't, and what you're doing about it.
This is a hands-on seat, not an oversight one. You run the accounts yourself.
What You Own
Onboarding a new client
Lead the kickoff: budgets, targets (CPA/ROAS), audiences, and reporting cadence
Audit existing ad accounts, tracking setup, and creative libraries before anything goes live
Agree what good looks like in month one, three, and six
Setting up
Configure ad accounts, pixels, CAPI, and conversion tracking
Build the account structure: campaigns, ad sets, audiences, budget splits
Brief creative and feed requirements to the studio team
Running the account
Launch, monitor, and optimise daily against KPIs
Manage budget pacing and move spend where it performs
Run creative, audience, and bidding tests, then scale what works
Own the weekly and monthly client reporting and walk clients through it
Flag risks early. If a target is slipping, the client hears it from you first, with a plan
What You Need
3+ years buying paid media, hands-on, across Meta and Google (TikTok a plus)
A track record in DTC or e-commerce where you owned ROAS or CPA and can talk through specific accounts
Comfortable running client calls solo, including the difficult ones about performance
Strong on tracking and attribution: GA4, pixel, CAPI, and reading the data behind a result
Able to run several accounts at once, start to finish, and keep each one on plan
Nice to Have
Agency background running multiple clients
Feed management and Google Shopping experience
A creative testing framework you've actually used
Location: Mexico
The Role
You'll own paid media end to end for a set of DTC and e-commerce accounts: onboarding a new client, building their accounts from scratch, and running live campaigns against revenue targets. You're the person the client speaks to about their spend. You explain what's working, what isn't, and what you're doing about it.
This is a hands-on seat, not an oversight one. You run the accounts yourself.
What You Own
Onboarding a new client
Lead the kickoff: budgets, targets (CPA/ROAS), audiences, and reporting cadence
Audit existing ad accounts, tracking setup, and creative libraries before anything goes live
Agree what good looks like in month one, three, and six
Setting up
Configure ad accounts, pixels, CAPI, and conversion tracking
Build the account structure: campaigns, ad sets, audiences, budget splits
Brief creative and feed requirements to the studio team
Running the account
Launch, monitor, and optimise daily against KPIs
Manage budget pacing and move spend where it performs
Run creative, audience, and bidding tests, then scale what works
Own the weekly and monthly client reporting and walk clients through it
Flag risks early. If a target is slipping, the client hears it from you first, with a plan
What You Need
3+ years buying paid media, hands-on, across Meta and Google (TikTok a plus)
A track record in DTC or e-commerce where you owned ROAS or CPA and can talk through specific accounts
Comfortable running client calls solo, including the difficult ones about performance
Strong on tracking and attribution: GA4, pixel, CAPI, and reading the data behind a result
Able to run several accounts at once, start to finish, and keep each one on plan
Nice to Have
Agency background running multiple clients
Feed management and Google Shopping experience
A creative testing framework you've actually used
Pay Rate: $3,000-3,500 USD
Location: Peru
The Role
You'll own paid media end to end for a set of DTC and e-commerce accounts: onboarding a new client, building their accounts from scratch, and running live campaigns against revenue targets. You're the person the client speaks to about their spend. You explain what's working, what isn't, and what you're doing about it.
This is a hands-on seat, not an oversight one. You run the accounts yourself.
What You Own
Onboarding a new client
Lead the kickoff: budgets, targets (CPA/ROAS), audiences, and reporting cadence
Audit existing ad accounts, tracking setup, and creative libraries before anything goes live
Agree what good looks like in month one, three, and six
Setting up
Configure ad accounts, pixels, CAPI, and conversion tracking
Build the account structure: campaigns, ad sets, audiences, budget splits
Brief creative and feed requirements to the studio team
Running the account
Launch, monitor, and optimise daily against KPIs
Manage budget pacing and move spend where it performs
Run creative, audience, and bidding tests, then scale what works
Own the weekly and monthly client reporting and walk clients through it
Flag risks early. If a target is slipping, the client hears it from you first, with a plan
What You Need
3+ years buying paid media, hands-on, across Meta and Google (TikTok a plus)
A track record in DTC or e-commerce where you owned ROAS or CPA and can talk through specific accounts
Comfortable running client calls solo, including the difficult ones about performance
Strong on tracking and attribution: GA4, pixel, CAPI, and reading the data behind a result
Able to run several accounts at once, start to finish, and keep each one on plan
Nice to Have
Agency background running multiple clients
Feed management and Google Shopping experience
A creative testing framework you've actually used
seniorPeru
Stamford, Connecticut, United States
УдалённоГеография найма не уточнена
Limassol, Cyprus; Relocation support (if applicable), including an entry permit, relocation bonus, flight tickets, and airport pickup
Limassol, Cyprus; Relocation support (if applicable), including an entry permit, relocation bonus, flight tickets, and airport pickup
