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Business Intelligence Analyst & Developer

OpenDor Media
Full-time
Remote
United States
$100,000 - $110,000 USD yearly
AI / Machine Learning

Responsibilities

  • Develop, maintain, and optimize dashboards and reports across departments using BI and CRM tools.
  • Monitor and analyze KPIs, trends, and performance metrics to guide business strategy.
  • Conduct ad-hoc analysis to support incoming decision-making needs.
  • Suggest KPIs that represent value-drivers of the business.
  • Manage and maintain data warehouse and data lake environments (Google Cloud, BigQuery).
  • Ensure data accuracy, consistency, and integrity across multiple sources.
  • Collaborate with IT and data engineering teams to implement and maintain ETL pipelines and analytics infrastructure.
  • Partner with fundraising, marketing, operations, content, and finance teams to understand data needs and deliver insights.
  • Provide actionable recommendations and support data-driven decision-making across the organization.
  • Assist in the implementation of analytics tools, tracking tags, and CRM integrations (Salesforce).
  • Conduct CRM maintenance and general systems management, debugging and cleaning data, to ensure accurate reporting.
  • Lead or participate in analytics projects from ideation through implementation.
  • Coordinate multiple projects simultaneously while meeting deadlines.
  • Document BI processes, data definitions, and reporting standards for consistency.

Preferred Qualifications (Nice to Have)

  • Collaborate with Content Data Specialist to analyze content data for integrated performance insights.
  • Survey creation, management, and reporting.
  • Support financial reporting through integration with tools like QuickBooks.

Requirements

  • 5+ years in data analytics, business intelligence, or related roles.
  • Strong expertise in SQL and Python for data analysis and manipulation.
  • Proficiency in BI and visualization tools such as Looker Studio, Tableau, or Power BI.
  • Experience with cloud-based data platforms (Google Cloud, BigQuery).
  • Advanced Excel skills for complex data analysis.
  • Experience with CRM systems, preferably Salesforce.
  • Excellent analytical, problem-solving, and project management skills.
  • Ability to communicate insights clearly to technical and non-technical stakeholders.
  • Highly inquisitive and self-motivated.

Bonus Points for

  • Experience with survey tools (SurveyMonkey, Google Forms) and social media analytics.
  • Data engineering or scripting experience for ETL and database management.
  • Familiarity with QuickBooks or other financial systems.

Benefits

  • International exposure.
  • High level of autonomy.
  • Paid days off for Jewish & national holidays as well as competitive vacation policy.
  • Healthcare policy if employed outside of Israel.
  • Great company culture and colleagues.

Salary

  • Target salary range for this position when based in New York is $100,000 to $110,000 annually.
  • In Israel, the salary range is 23,000 - 25,000 NIS/month.
  • The final salary for this role will be determined based on careful consideration of a variety of factors, such as the candidate's exact location, experience in similar roles, and expertise related to the qualifications.

Location

  • This is a remote position reporting directly to our Creative Director.

About the Company

  • OpenDor Media provides inspiring and informative content on all issues relating to Judaism and Israel, and those that affect young Jews today.
  • We are proudly and transparently positive about Israel and Zionism, Jewish values and ideals.
  • We celebrate the riches of Jewish and Israeli history and culture.
  • We do so in a voice which is authentic, credible, and therefore trusted.
  • We embrace complexity and recognize and give voice to multiple perspectives on difficult issues.
  • We push the boundaries of innovation, creativity, and good old hard work.
  • Core values: Fueled by creativity, Inspired by excellence, Powered by positivity, Driven by self-improvement, Empowered by collaboration.

Category

Data Analysis

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