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Data Analytics Lead

Posted 2024-10-29

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💎 Seniority level: Lead, 7+ years

💸 Salary: 170000 - 220000 USD per year

🔍 Industry: SaaS

🏢 Company: Lumos

⏳ Experience: 7+ years

Requirements:
  • 7+ years of experience in a Data Analyst or related role within the SaaS space.
  • Proficiency in SQL and Python.
  • Experience with data modeling tools such as DBT.
  • Familiarity with BI tools like Looker, Tableau, Power BI, or Metabase.
  • Ability to work autonomously and manage ambiguity as the company scales.
  • Experience with prioritizing and owning data projects that align with company OKRs.
  • Proven ability to collaborate cross-functionally and meet data goals.
Responsibilities:
  • Spearhead projects to build core data layers and ingest data sources.
  • Transform data into actionable dashboards and insights for cross-functional teams.
  • Empower sales/customer teams with customer-level data.
  • Collaborate with Product to develop key KPIs and support product managers.
  • Align with leadership to define business-level KPIs and develop core business dashboards.
  • Conduct operational deep dives to address complex business questions.
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  • 10+ years in Data/BI/Analytics/Reporting roles.
  • 2+ years in a similar team management role with a strong technical focus.
  • Proven analytical and quantitative ability.
  • Strong knowledge of SQL and advanced SQL usage.
  • Experience with BI solutions like QuickSight (preferred), Tableau, QlikView, Power BI.
  • Experience with data modeling and reporting.
  • Experience with warehousing and DB optimizations, ETL/ELT processes.
  • Experience with various DB engines: PostgreSQL, MySQL, Oracle, SQL Server.
  • Familiarity with AWS cloud-based tools: AWS Glue, QuickSight, Redshift, S3.
  • Highly proficient in spoken and written English.
  • Enthusiastic, hard-working, and motivated team player with excellent communication skills.

  • Lead and mentor the Data Analytics team by overseeing day-to-day activities, setting goals, and performing reviews.
  • Interface with the Senior Management Team to identify innovative uses of data and drive BI strategy.
  • Guide design and implementation of data solutions using business intelligence tools.
  • Collaborate with Business, Product, and Engineering teams to determine metrics and analytics needs.
  • Design and support key datasets for timely access to actionable business information.
  • Retrieve and analyze data using SQL and BI systems.
  • Develop queries for ad-hoc requests and ongoing reporting.
  • Monitor existing metrics and analyze data to answer key business questions.
  • Review Data Analytics processes for continuous improvement.
  • Work with the latest AWS cloud technologies.

AWSLeadershipPostgreSQLSQLBusiness IntelligenceETLMySQLOracleQlikViewTableauStrategyCommunication Skills

Posted 2024-09-20
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