Data Analyst

Posted about 8 hours agoViewed

💎 Seniority level: Junior, 2+ years

📍 Location: USA, CAN, MEX

🏢 Company: Fleetio

⏳ Experience: 2+ years

🪄 Skills: PythonSQLBusiness IntelligenceData AnalysisGitSnowflakeTableauREST APICommunication SkillsAnalytical SkillsData visualizationData modelingData analyticsData management

Requirements:

2+ years of experience in an analytics, business intelligence, or a related role using data to create actionable insights and recommendations that drive business outcomes
Experience collaborating with multiple business functions and supporting stakeholders by developing key metrics and delivering impactful analysis and reporting
Expert SQL skills with strong experience transforming raw data into clean datasets, optimizing code, and troubleshooting & improving others' code
Strong understanding of data warehousing and data modeling concepts(e.g. Star Schema)
Experience with data modeling using dbt
Expertise with Snowflake, databricks, BigQuery, or another cloud data warehouse
Experience building dashboards and reports in Looker, Tableau, Sisense/Periscope, Metabase or similar
Strong understanding of schemas for popular third-party SaaS applications (e.g. Salesforce, Marketo, Snowplow, Segment)

Responsibilities:

Collaborate with other Fleetians around the company to conduct deep-dive analyses and translate data into actionable insights and recommendations that inform strategic decisions and drive business outcomes.
Own analytics for stakeholders across product, finance, customer success, engineering, and other areas to understand their data needs, define key metrics, gather requirements, and make sure that required data is collected, modeled, and made available.
Enable self-serve analytics and ensure that stakeholders have access to insights by building and maintaining dashboards to track key business metrics and performance indicators.
Architect clean datasets for reporting and analysis using tools like dbt to model and transform data, while ensuring that company metrics have a reliable single source of truth.
Contribute to data governance and enforce best practices on our data and reporting platform. Coach and advise other data analysts, product managers, engineers, etc. on data modeling, SQL query optimization, and reporting.

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