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במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
This role is ideal for someone who thrives in a fast-paced startup environment, enjoys influencing decision-making at the highest levels, and is passionate about embedding a data-driven mindset across the organization.
What You'll Do:
Lead and mentor the Data team, and support their professional growth while achieving impact goals of the marketing data structure such as: multi touch attribution model, creative analytics and automated data governance processes.
Define and own the data vision, roadmap, infrastructure, and best practices aligned with company objectives.
Act as a trusted data partner to executive leadership and senior stakeholders, influencing strategy through insights and analysis while promoting a strong data-driven culture.
Oversee the design, build, and maintenance of a scalable and reliable data warehouse.
Lead the design, implementation, and optimization of ETL/ELT pipelines to integrate data from multiple internal and external sources.
Ensure high standards for data quality, governance, integrity, and documentation.
Translate complex datasets into clear, actionable insights that support the different departments' needs and the company growth through operational excellence.
Support advanced analytics use cases including forecasting, experimentation (A/B testing), and performance measurement.
Review and elevate dashboards, reports, and analyses to ensure clarity, accuracy, and executive relevance.
Identify gaps in data collection and proactively propose solutions to improve visibility and decision-making.
Bachelors or Masters degree in Analytics, Statistics, Mathematics, Data Science, Computer Science, or a related field - Preferred
5+ years of experience in data analytics or data engineering leadership roles, preferably in a SaaS or technology-driven environment.
Experience building data infrastructure, standards, and best practices from the ground up.
Previous experience leading projects and mentoring or managing team members - a must.
High attention to detail and commitment to data accuracy and quality.
Proactive, collaborative, and comfortable operating in a fast-growing startup environment.
Technical Skills
Strong proficiency in SQL and Python for data manipulation and analysis.
Hands-on experience with ETL tools and frameworks (e.g., Apache Airflow, dbt or similar).
Solid understanding of data warehousing concepts and platforms (e.g., Snowflake, Redshift, BigQuery).
Experience with data visualization tools such as Tableau, Power BI, or Looker.
Familiarity with marketing and product analytics tools: user acquisition ad managers APIs, Salesforce and HubSpot data and integrations.
Strong understanding of SaaS metrics including ARR, churn, LTV, CAC, and cohort analysis.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.