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KUBRA · 22 hours ago

Analytics Engineer

Tempe, AZ

Full-time

Hybrid

Mid Level

3+ years exp

KUBRA is a fast-growing company that delivers customer communications solutions, and they are seeking an Analytics Engineer to turn data into meaningful insights for internal teams and external clients. The role involves designing dashboards, conducting in-depth analyses, and collaborating with cross-functional teams to support data-driven decision-making.

Information Technology

Diversity & Inclusion

No H1B

Responsibilities

Own a curated catalog of business metrics and KPIs, ensuring consistent definitions and alignment across products and clients

Design, build, and automate dashboards and reports in Power BI and Looker, backed by robust data models and clear analytical logic

Partner with Data Engineering to define reporting datasets, enforce data quality checks, and uphold governance standards

Deliver accurate, timely reports and dashboards to stakeholders with high reliability and attention to detail

Conduct in-depth analysis to identify trends, drivers, and opportunities, providing actionable recommendations to business leaders

Automate recurring reporting processes (e.g., QBRs, client packages) using reusable datasets, templates, and semantic layers

Model, query, and transform data using SQL; maintain performant data pipelines, refresh schedules, and access controls

Collaborate with Data Science to support experiments and track ML/AI outcomes through production dashboards

Partner with cross-functional teams (Product, CXT, Finance, Client Success) to align metrics with company and client goals

Document analytical logic, KPI definitions, data lineage, and assumptions to enable self-service and knowledge sharing

Implement QA for data assets, including validation, regression testing, and monitoring for anomalies

Stay current with BI and analytics tools and best practices; recommend and adopt improvements that enhance reliability, performance, or usability

Qualification

SQLPower BILookerData modelingData governanceETL/ELT practicesPythonData storytellingAnalytical skillsCommunication skillsOrganizational skills

Required

3–5 years of experience in data analysis and reporting, preferably within product or SaaS environments

Hands‑on proficiency with SQL and Looker

Experience building end‑to‑end reporting solutions from data modeling to dashboard deployment and support

Undergraduate degree in a related discipline (e.g., Computer Science, Statistics, Analytics, Mathematics, Engineering, Economics) or equivalent experience

Excellent problem-solving, communication (oral and written), and data storytelling skills; ability to translate analysis into clear narratives and actionable business recommendations

Strong analytical skills with experience working with large and complex datasets; meticulous attention to detail

Ability to define and maintain KPIs and translate business questions into analytical requirements

Solid understanding of data governance, cataloging, and metric standardization

Excellent organizational and time management skills; able to manage multiple priorities under tight deadlines

Proactive, collaborative, and client-focused mindset with strong influence and impact skills

Preferred

Familiarity with LookML, model/view development and performance tuning, data warehousing concepts and ETL/ELT practices; exposure to cloud platforms (AWS/Azure) is preferred

Experience collaborating with Data Engineering and Data Science teams; Python/ML/AI experience is an asset

Advanced certifications in analytics or BI tools are preferred