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Business Intelligence and Data Analytics Manager

Posted 12 days agoViewed

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💎 Seniority level: Manager, 7+ years

📍 Location: United States

💸 Salary: 108800.0 - 172800.0 USD per year

🔍 Industry: Software Development

🏢 Company: ClickHouse👥 101-250💰 Series B over 2 years agoDatabaseArtificial Intelligence (AI)Big DataAnalyticsSoftware

🗣️ Languages: English

⏳ Experience: 7+ years

🪄 Skills: AWSPythonSQLBusiness IntelligenceData AnalysisETLTableauClickhouseData engineeringReportingData visualizationData modelingData analyticsData management

Requirements:
  • 7+ years of experience with SQL and data analysis
  • 2+ at a fast-paced technology company
  • Strong expertise in writing complex SQL queries and creating optimized views
  • Experience with Python and R preferred
  • Experience with business intelligence tools (e.g., Power BI, Tableau, Superset)
  • Familiarity with Extract, Transform, and Load (ETL) processes
  • Proven track record of translating business requirements into technical solutions
  • Strong communication skills with ability to explain technical concepts to non-technical audiences
  • Experience creating clear, impactful data visualizations
  • Background in data modeling and database design
  • Ability to manage multiple projects and priorities effectively
  • DBT experience preferred
  • ClickHouse experience is a plus
  • Superset experience is a plus
Responsibilities:
  • Design, develop, and maintain end to end data warehouse on behalf of the Operations’ team
  • Manage related data molding work and optimize Extract, Transform, and Load (ETL) processes
  • Some data engineering work needed to connect current data sources into the ClickHouse DWH
  • Own Master Data Management across the Operations’ function, including data dictionary creation and management
  • Ensure data quality, consistency, and accessibility
  • Develop reusable reports and dashboards that become the “sources of truth” for respective functions, like Support, Sales, Partners
  • Design and maintain the “all company” metrics’ dashboards
  • Partner with central DWH team to ensure that Ops adheres to best practices, naming conventions
  • Partner with central DWH team to extend AI functionality across Operations’ metrics (i.e. the DWAINE, Data Warehouse AI Natural Expert, project)
  • Partner with Finance and Operations team members to ensure alignment on data definitions
  • Develop and implement a set of audit reports across operational processes to validate the accuracy and efficiency of automations and integrations. This includes creating data snapshots to preserve audit history and historical reporting
  • Perform ad hoc analyses as needed and create clear and concise visualizations to communicate findings
  • Implement Tableau or related BI tool to ensure ease of use
  • Lead enablement sessions to drive self service across stakeholder teams
  • Potential expansion to support other teams, e.g., HR, Marketing, Finance
  • Partner with Security team to ensure proper protocols are maintained to safeguard our data
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