Hands-on applied data science role owning end-to-end modeling for a priority vertical (starting with Insurance), from problem framing with stakeholders through deployed models and live ROAS performance. Requires 5+ years of applied data science experience, strong ML modeling fundamentals, experience building and deploying ML solutions in AWS, and expertise with techniques such as multi-armed bandits, reinforcement learning, recommendation/ranking systems, LTV and monetization modeling. Familiarity with performance/paid digital marketing and tools like Looker is desirable.

Join Sardine's Fraud Intelligence team as a Data Analyst responsible for designing evaluation frameworks, performing lift analyses and backtests, profiling vendor datasets (coverage, freshness, match rates), and translating findings into actionable recommendations. Requires 3–5 years in data analysis or similar, proficiency in SQL and Python or R, and experience assessing external datasets in fraud, risk, or fintech contexts.

Provide developer-facing technical support for API authentication and integrations, help design schemas and write SQL or data markup, support and debug Rippling-managed and custom data connectors, and collaborate with Product and Engineering. Requires 1-4 years technical support experience and strong proficiency in SQL, BI tools (e.g., Tableau), and JavaScript or Python.

Grafana Labs is hiring a Senior Finance Analytics Manager (remote, based in the United States) to stand up the Corporate Finance Analytics function. The individual contributor will own data modeling, architecture, production dashboards, advanced analytics, and executive reporting; required skills include 5+ years in corporate/financial analytics, strong SQL, experience with modern data warehouses (e.g., BigQuery or Snowflake), dashboarding tools (Looker/Tableau/Mode/Sisense), and familiarity with NetSuite and Salesforce. The posted U.S. base salary range is $143,759–$172,511 per year.

You will collect stakeholder requirements, analyse data across multiple systems (bookings, pipeline, conversion, activity/productivity), build and maintain reporting and dashboards, present actionable insights to GTM leaders, influence change across revenue organisation, and leverage AI tools while validating outputs. Tools mentioned: Salesforce, Gainsight, Gong, Alteryx, Databricks, Power BI.

Manager-level role on the Finance Data & Analytics team responsible for data strategy, governance, modeling and warehousing (Snowflake), analytics and visualization (Tableau), advanced SQL work, and deploying AI solutions to support Accounting, Finance and other stakeholders. Requires 10+ years of relevant experience and experience managing/mentoring analysts; familiarity with ERP and finance systems (NetSuite, Coupa, Salesforce, ServiceNow).

Twilio is hiring an MDM Data Specialist (L2)/Data Steward to own the integrity of master data (Customer and Product), manage golden records, oversee matching and merging, define and monitor data quality KPIs, perform root-cause analysis and remediation, implement automated profiling/cleansing, and support data governance. Requires 3–5 years in data management or stewardship and strong SQL and MDM knowledge. Role is remote and based in India.

The Data Surveillance Analyst will develop and support Data Surveillance Plans, configure and maintain surveillance technologies, review clinical and operational data to identify trends/outliers/risks, document findings, present results to study teams and clients, and support close-out activities. Requires degree (medical/biological/pharmacy/data analytics preferred), fluent English, minimum 3 years' relevant CRO/pharma experience, and basic SAS or SQL (or other programming) with data analytics experience. Compliance with ICH-GCP and experience with centralized/adaptive monitoring is expected.

SeatGeek is hiring a Senior Data Analyst on the Product Analytics team to lead analyses, experimentation, and opportunity sizing partnering with product, engineering, design, and marketing. Requires 4+ years in analytics, deep SQL fluency, experience with A/B testing and product/retention analysis, and familiarity with tooling such as dbt, Hex, Mixpanel, Redshift, and event tracking.

Analyze Copilot telemetry, usage logs, billing/entitlement data, and account signals to identify abuse patterns; build dashboards, reports, and prototype models to support Trust & Safety detection and enforcement; collaborate with Product, Engineering, Security, Data Science, and Legal; and apply data governance and privacy practices.

Hopper is hiring a Strategy & Analytics Manager to design, build, and maintain data models, dashboards, reporting frameworks, and operational improvements for its Travel Commercial organization. The role requires hands-on use of SQL and BI/data tools (Looker, Tableau, BigQuery), 2+ years of relevant experience, strong commercial and analytical skills, and use of AI tools as part of the analytical workflow. Reports into senior commercial leadership and works cross-functionally with Product and Engineering.

Remote (India) staff engineer role requiring ~5.5+ years experience in data analysis or PMO/BA roles with strong data exposure, preferably in banking. Responsibilities include maintaining migration trackers, source-to-target mapping, performing data validation and reconciliations, managing defect logs, supporting SIT/UAT/test data, and preparing audit evidence and cutover support. Technical skills expected: SQL, Excel, ETL understanding, DMS/core-banking familiarity; Power BI is a plus.

Responsible for maintaining migration trackers and source-to-target mappings, performing data validation and reconciliation, managing defect/exception logs, coordinating SIT/UAT test data and cutover/mock runs, and preparing governance/audit artifacts. Requires 5.5+ years experience in data analysis or related roles, strong SQL/Excel proficiency, familiarity with ETL and data quality concepts, and domain exposure to core banking/financial services.

Puesto remoto en Perú para Data Analyst BI. Responsabilidades: desarrollar dashboards en Tableau, extraer/transformar/limpiar datos con SQL, generar KPIs y análisis, coordinar con stakeholders, complementar soluciones con Power BI y documentar procesos. Requiere más de 3 años en roles similares y experiencia en sectores como automotriz, retail o consumo masivo.

Planful is hiring a Sales Operations Analyst (2+ years experience) to analyze pipeline, revenue, and sales performance; build and maintain forecast models; support capacity and territory planning; perform pricing and retention analysis; and translate data into executive-ready insights. Works closely with Business Systems, Sales, Finance, Marketing, and Customer teams. Key tools: Power BI or Tableau, Excel/Google Sheets, Salesforce, Clari/Gong.

Associate-level role contributing statistical capabilities and methodological support across project stages under supervision. Responsibilities include design and delivery of client solutions, sample size/power calculations, drafting statistical protocol sections, developing statistical analysis plans and programs, QC of outputs, and providing statistical input to clinical study reports. Requires a master's or higher in a quantitative field, strong foundation in statistical methods, and proficiency in statistical programming (e.g., R, SAS, Python, SQL).

Role focused on identifying, investigating, and reporting abuse, misuse, and policy violations of GitHub Copilot and related AI products. Responsibilities include analyzing telemetry, usage logs, billing/entitlement and account signals; building dashboards, reports and prototype models; improving data quality and integrations; synthesizing analyses for stakeholders; and operationalizing recurring monitoring. Requires data analysis/reporting experience (3+ years with a relevant degree, or equivalent), and experience with tools such as SQL, Python, and Power BI.

Work with Copilot telemetry, account signals, and usage data to identify abuse patterns (e.g., scripted usage, credential sharing, prompt injection). Develop dashboards, reports, and prototype models to support detection and enforcement, collaborate with Trust & Safety, Product, Engineering, Security, and Legal, handle sensitive data responsibly, and mentor other analysts.

Responsible for analyzing Copilot telemetry, usage logs, billing/entitlement and account signals to identify abuse patterns; building dashboards, reports, and prototype models to inform detection, policy, and enforcement; improving data quality and partnering with Trust & Safety, Product, Engineering, Security, and Legal teams. Requires experience with SQL, Python, Power BI, and large-scale platform analytics.

As a Trust & Risk Operations Analyst (based in Brazil), you will monitor transactions and behavioral signals for fraud and abuse, triage and escalate high-risk cases, conduct investigations using internal systems and external tools, document findings and maintain SLAs, and help improve repeatable operational processes. Role requires 1–3 years' experience in fraud prevention or risk, familiarity with payment platforms (e.g., Stripe, ACH), and basic SQL or Excel skills.