Jobgether

Compensation

Full Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analyst in United States. In this role, you will transform raw data into actionable insights that drive business decisions across multiple functions. You will manage data transformation pipelines, ensure the accuracy and consistency of KPIs, and collaborate closely with stakeholders to translate business needs into technical solutions. This position allows you to work remotely while contributing to a modern data stack and supporting initiatives that improve operational efficiency, reporting, and analytics. You will have the opportunity to influence company-wide strategy through reliable, well-structured datasets and participate in initiatives ranging from data modeling to predictive analytics. Your work will directly impact decision-making, reporting quality, and the overall analytical maturity of the organization. \n Accountabilities Maintain and optimize data transformation pipelines in dbt, including staging, intermediate, and mart layers. Collaborate with teams such as Product, Finance, Operations, and Marketing to define and validate KPIs. Translate raw cloud data (Snowflake, BigQuery, Redshift) into structured, business-ready datasets. Write efficient, modular, and well-documented SQL queries for daily data transformations and ad hoc analysis. Participate in code reviews and support the enforcement of data engineering best practices. Build dashboards or visualizations in BI tools such as Power BI, Looker, or Mode to support decision-making. Assist in the design and evaluation of predictive models and advanced analytics projects. Requirements 2–5+ years of experience in data analysis, analytics engineering, or a similar role. Expert-level SQL skills with the ability to write readable, performant, and maintainable queries. Strong experience with dbt in production environments. Solid understanding of data modeling principles, including Kimball methodology, star schema, and slowly changing dimensions. Familiarity with data architecture concepts, including data warehousing, transformation layers, and analytics pipelines. Ability to collaborate cross-functionally and translate business requirements into technical solutions. Excellent communication and documentation skills. Strong sense of ownership and attention to accuracy, efficiency, and reliability. Bonus: Experience with Python for predictive analytics or machine learning. Bonus: Familiarity with cloud-based warehouses and BI tools such as Snowflake, Power BI, or Looker. Benefits Health, vision, dental, long & short-term disability, and life insurance coverage. 401(k) match and financial wellness programs. Flexible time off policy and supportive remote work environment. Opportunities to grow professionally within a collaborative, like-minded team. Work with a modern data stack and contribute to shaping data-driven decision-making across the business. Discounts on pet care services and additional perks supporting work-life balance. A culture committed to diversity, inclusion, and continuous learning. \n Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1