N-iX
MiddleDataAnalyst(withdbt)
Neural analysis suggests this role is
optimal for Mid candidates.
“Middle Data Analyst (with dbt) at N-iX. Skills: Data Analytics, dbt, SQL, BI tools. Transform data. Test data”
Industry & Context.
Identify data quality improvements; Identify data reliability improvements
Central Time Zone working hours
What They're Looking For.
Must Have
3+ years of experience in Data Analytics, 1+ years of experience with dbt, Advanced SQL skills, Familiarity with Tableau or other BI tools, Experience with Python, Previous experience with version control, Previous experience with continuous integration, English - Upper intermediate +
Nice to Have
PhD preferred, specific ML framework experience, cloud platform certs
What You'll Do.
Identify data quality improvements
Identify data reliability improvements
Establish best practices
Provide technical mentorship
How You'll Work.
Team & Collaboration
Analytics teams; Data engineering teams; Finance departments; Accounting departments; Analytics teams; Engineering teams
Communication Scope
Explain technical work; Translate business logic
Full Job Description
N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software,IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world. N-iX is looking for a Middle Data Analyst (with dbt) experience to join our team. As a Data Analyst you will collaborate with the analytics and data engineering teams to provide the stakeholders with clean and organized data that will be used throughout the organization. You will spend time transforming, testing, deploying, and documenting data. Responsibilities: Work with our current data stack: Snowflake, dbt, Tableau, Github, Fivetran, Hex (also Google Suite & Slack). Collaborate with teams from the Data Engineering, Analytics, Finance, and Accounting departments to establish and maintain consistent use of business definitions in a source of truth tables, and recommend continuous improvement strategies. Provide clean data sets to end users, modeling data in a way that empowers end users to answer their questions. Transform, test, deploy, and document data using version control and continuous integration to the analytics code base. Design, develop, test, automate, and launch new dashboards and reporting solutions across the company. Maintain and support existing metrics, KPIs, reports, and dashboards. Work with the Analytics and Engineering teams to understand existing internal tools and data warehouses, identify data quality and reliability improvements, and establish best practices. Train and provide technical mentorship to other data analysts Be able to explain technical work to non-technical audiences and translate business logic from stakeholders to technical work Be able to cover Central Time Zone working hours Requirements: 3+ years of experience in Data Analytics. 1+ yea
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