--- title: 'Data Analytics Engineer (Maternity Cover) at Datarails' canonical: 'https://feeny.ai/job/data-analytics-engineer-maternity-cover-datarails-tel-aviv-yafo-t5gxv8x465r7' type: 'job' last_seen: '2026-11-02' --- # Data Analytics Engineer (Maternity Cover) at Datarails - **Company:** Datarails - **Location:** Tel Aviv-Yafo, Israel - **Posted:** 2026-10-26 - **Last confirmed live:** 2026-11-02 - **Apply:** https://job-boards.greenhouse.io/datarails/jobs/4467209009 ## Job description Datarails is the AI operating system for finance teams. We unite financial and operational data through FinanceOS, the trusted data layer for finance, and build the applications, workflows and AI experiences finance teams use to run the business. We are looking for a Data Analytics Engineer with strong technical skills to join the Marketing Data team. You will be the go-to person for how Marketing and other teams measure what matters. You will define the metrics, build the analysis behind them, and keep the data underneath them reliable. Our marketing data model on BigQuery is already in production. You will report to the VP Growth and work directly with Marketing, Product and Sales leaders. ## What You'll Do - Work with Revenue leaders to turn business questions into clear metric definitions, KPIs and measurement plans. - Build analysis and dashboards on acquisition, conversion, activation, feature adoption and retention. - Identify gaps in tracking and work with R&D to close them. - Maintain and extend existing pipelines and models (Airflow, Fivetran, ad platform connectors, BigQuery transformations). - Monitor data quality and fix issues before they reach stakeholders. - Document metric definitions, models and decisions as you go. ## Requirements Must have - 3+ years as an analytics engineer or data analyst, preferably in B2B SaaS. - Experience defining metrics and KPIs with business stakeholders, and specifying and building the dashboards that track them. - Experience working across business domains (such as marketing, sales, product or finance), and quickly learning a new team’s data and questions. - Proficiency in SQL and Python for data processing, analysis and automation. - Data modeling and warehousing experience in a cloud data warehouse, ideally BigQuery on GCP. - Hands-on experience building and maintaining ETL/ELT pipelines from multiple sources, orchestrated with Apache Airflow. - Ownership of data observability: pipeline health, freshness and quality. - Git and version-controlled development (branches, pull requests, code review), with familiarity with CI/CD, Docker and Terraform. - Works independently: can take a loosely defined question, scope it, and deliver without close technical supervision. ## Nice to have - Marketing analytics background: attribution, funnel and campaign performance. - Data modeling and pipeline experience with tools such as Fivetran, Funnel.io or dbt. - Familiarity with HubSpot and Salesforce data structures. - Understanding of SaaS metrics (ARR, churn, CAC, LTV). - Experience with Looker Studio or another BI tool. ## About Datarails ## Company Overview - **One-liner**: Datarails provides an Excel-native Financial Planning & Analysis (FP&A) platform and AI-powered finance operating system that automates data consolidation, reporting, budgeting, and forecasting for finance teams. - **Entity Type**: Private (Series C) - **Headquarters**: New York, New York, United States - **Founded**: 2015 - **Founders**: Not publicly available from executive team pages. ## Core Business - Primary industry/industries: Financial Technology (FinTech), Enterprise Software, FP&A Software - Target customers: Mid-size and enterprise companies, specifically FP&A teams, finance leaders, and CFOs who rely on Excel but need better scale and control. - Mission or purpose statement: To fundamentally change how analytics are used within the finance function and empower finance professionals to spend more time on analysis and less on data gathering. ## Products & Services - **Datarails FP&A Platform**: An Excel-native platform that automates financial reporting, budgeting, and forecasting. It allows finance teams to keep working in Excel while adding automation, data governance, and collaboration. - **FinanceOS**: A new finance operating system that connects and consolidates every financial data source in an organization into a single, governed, secure, and AI-ready layer. It features automated consolidation and reporting. - **Datarails AI (Genius)**: A generative AI assistant for FP&A that helps automate manual, repetitive tasks, enabling more strategic analysis. It includes AI-powered data visualization and anomaly detection. - **Data Consolidation**: Automated integration with 600+ accounting software, ERPs, CRMs, banks, and HRIS systems to collect and centralize financial data. - **Month-End Close**: A centralized workspace that streamlines and simplifies the close process, supporting multi-entity and intercompany operations. - **Cash Management**: A tool providing real-time visibility into cash positions, automatically categorizing transactions, and offering cash forecasting capabilities. - **Budgeting & Forecasting**: Tools to estimate costs and revenues across the entire business, streamlining the budget collection process. - **Financial Reporting**: Automated generation of P&L, balance sheets, and cash flow statements. ## Market Standing - **Valuation/Market Cap**: Not disclosed. The company was last valued at Series C in January 2026. - **Key Metric**: **Annual Revenue**: $9.8 million (as of latest data, source: LinkedIn). **Total Funding**: $173.5 million across 8 rounds. - **Notable Investors/Partners**: One Peak (led Series C), Zeev Ventures, Vertex Ventures Israel, Innovation Endeavors. - **Growth Signals**: - Headcount of 357 employees with a **65.3% year-over-year growth** (+173 people) and a monthly growth rate of 3.5%. - Ranked 92nd fastest-growing company in North America on the 2024 Deloitte Technology Fast 500. - Operates in 17 countries with offices in the US and Israel. - Expanded product offerings to include an AI Finance Operating System and a dedicated Cash Management module. ## Competitive Advantages - **Excel-Native Integration**: Unlike many FP&A tools that require learning a new interface, Datarails works directly within Excel, allowing finance teams to keep their familiar spreadsheets and models. - **Comprehensive Finance OS**: The FinanceOS platform acts as a single, governed, and AI-ready layer over a company's entire financial data ecosystem, addressing a critical pain point of data fragmentation. - **Deep Financial Focus**: The platform is purpose-built for the CFO's office, solving specific challenges like manual consolidation, month-end close, and complex budgeting for multi-entity organizations. - **Strong Product Ratings**: High user satisfaction with a product rating of **4.8/5.0** (from 318 reviews on LinkedIn), indicating strong product-market fit. ## Strategic Focus - **AI-First Transformation**: Datarails is heavily investing in AI, creating dedicated roles like "Vice President, AI Transformation & Services" and developing its "Genius" AI assistant to automate complex FP&A tasks. This signals a strategic priority to embed AI deeply into its product. - **Customer Success and Upsell**: The company is actively hiring for Customer Success roles at various levels (VP, Manager, Technical Account Manager, Implementation Specialist), indicating a focus on ensuring high-value customers are successful and expanding their usage of the platform. - **Global Expansion**: With its strong headcount growth and presence in 17 countries, the company is focused on scaling its global operations, particularly in the US and Israel. ## Why Work Here - **Culture and Growth**: Datarails is a rapidly growing company (65.3% YoY headcount growth) that has achieved significant recognition from Deloitte, indicating a dynamic and high-growth environment. The company emphasizes building a strong organizational culture, guided by its Head of HR. - **Remote/Hybrid/Office Policy**: The company operates globally with offices in New York, USA, and Tel Aviv, Israel. Job postings list specific locations (e.g., "United States", "Tel Aviv-Yafo"), suggesting a hybrid or office-first model depending on the role. - **Compensation**: Employee reviews on LinkedIn score compensation at **4.4/5.0**, suggesting competitive pay. Specific salary data points include $132,224/year for an FP&A Manager and ILS 407,188/monthly for a Frontend Developer. - **Engineering Culture**: The R&D team is led by a VP of R&D and a Chief Architect, with a strong technical focus. The product is highly rated by users, which is often a good sign for the engineering team's work. A quarter of the company's talent comes from notable tech companies like Tipalti, Deloitte, and Planful, suggesting a strong talent pool. - **Overall Rating**: The company has an employer rating of **3.8/5.0** with specific scores of **Culture: 3.7, Work-Life Balance: 4.0, and Career Opportunities: 3.9**, indicating a positive but balanced work environment. ## Sources 1. [Datarails Official Website](https://www.datarails.com/) 2. [Datarails Company Page](https://www.datarails.com/company/) 3. [Datarails Greenhouse Careers Page](http://job-boards.greenhouse.io/datarails) 4. 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