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VARITE INC · 1 month ago

Data Analyst-IT II

Los Angeles, CA

Full-time

Hybrid

Mid Level

$40/hr - $43/hr

VARITE INC is a company focused on supporting and educating users of their products through scalable solutions. They are seeking a Data Analyst-IT II who will work with cross-functional teams to ensure the reliability of their applications by building data artifacts and optimizing data processes.

Information Technology & Services

Growth Opportunities

Responsibilities

Partner with teams within Product Operations, the broader Global Operations and WhatsApp Operations organization, Data Science, Data Engineering, Product and Engineering teams to solve problems and identify trends and opportunities

Build/maintain data infrastructure (reporting layer data pipelines, reports, dashboards, alerts) to monitor the performance of our operations and drive business understanding

Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts

Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains

Independently analyze data, conduct research and synthesize feedback into plans, processes and playbooks

Proactively propose creative technical and quantitative solutions to problems and drive these through to implementation e.g.through identification of data & tooling requirements enabling self-service / scalable solutions

Communicate results of analyses to non-technical stakeholders who are the users of systems involving metrics, pipelines, and dashboards

Define metrics/KPIs for end to end product operations and building repeatable and reproducible analysis

Utilize AI tools to help automate routine analyses and scale solutions

Qualification

Data analysisSQLETL pipeline developmentData visualizationStatistical analysisAI toolsCommunication skillsProject management

Required

Bachelor's Degree in a technical or research-oriented field such as engineering, data science, social science, or related fields, or equivalent practical experience

Experience in strategy, operations, consulting, statistics, data analysis, or data science or directly related fields

Experience with ETL pipeline development

Proficiency with intermediate to advanced SQL concepts for data extraction

Experience in managing multiple projects and meeting deadlines in a fast-paced environment

Experience creating dashboards with Tableau, PowerBi, Alteryx and other data visualization tools

Experience with statistical analysis, including hypothesis testing, regression, and experimental design

Experience with communicating and presenting findings to non-technical stakeholders

Preferred

Advanced technical degree or graduate degree in statistics, marketing, or related fields

Experience using AI for data analysis and summarization

Experience measuring the performance of AI models

Experience working across time zones and with diverse audiences, including within operations teams and across with key stakeholders and senior leadership