Principal Data Analyst

Emploi pas sur LinkedIn

🕒 il y a 4 mois

🌾 Iowa – Distant

🌾 Iowa – Remote

💵 $100 003 - $130 003 / an

⏰ Temps Plein

🔴 Expert

📉 Analyste de Données

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Mom's Meals | A Purfoods Company

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 1999

⚕️ Assurance santé

🛍️ eCommerce

🧘 Bien-être

Healthcare Insurance • eCommerce • Wellness

Mom's Meals est une entreprise dédiée à l'amélioration de la vie grâce à une meilleure nutrition en fournissant des repas personnalisés médicalement et livrés à domicile. Ces repas sont conçus pour aider à prévenir et à gérer les maladies chroniques, soutenir la récupération après des séjours à l'hôpital et offrir une solution pratique aux individus et familles occupés à la recherche d'options nutritives. En se concentrant sur la qualité et le soin, Mom's Meals s'efforce d'avoir un impact positif sur la santé et le bien-être de leurs clients dans tout le pays.

Description

• Lead high‑impact analytics initiatives from problem framing through delivery; quantify value, design robust analyses, and communicate recommendations to business partners and executives • Partner with business leaders to identify analytics opportunities and deliver actionable insights. Present findings and recommendations to partners and executive leadership in clear, compelling formats • Develop analytics products and solutions using Databricks, modern Business and Artificial Intelligence tools and Agile principles • Implement advanced analytics where applicable, leveraging Python for advanced analytics, automation, and integration with Databricks workflows • Architect and publish trusted Power BI datasets and dashboards (DAX, Power Query, semantic models), establishing standards for usability and adoption • Build performant Databricks workflows (notebooks, jobs, SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses • Develop Python scripts for automation, data wrangling, and integration with Databricks and Azure services • Partner with Data Engineering on Azure data stack components (Data Factory, ADLS, Synapse/Fabric pipelines) for scalable data solutions • Own analysis quality: data validation, experiment/study design, sensitivity checks, and reproducibility (versioning, documentation) • Define and monitor KPIs; create executive scorecards and operational reporting that tie directly to business objectives • Coach/mentor analysts and BI developers; uplift storytelling, statistical thinking, and visualization craftsmanship across the team • Collaborate with Data Governance and Compliance to ensure appropriate use of PHI and adherence to privacy/security controls • Facilitate data stewardship and literacy across the business • Drive adoption of data products to scale data value • Stay current with emerging technologies and recommend enhancements to the analytics stack

🎯 Exigences

• Bachelor’s degree in Data Science, Computer Science, Statistics, Economics or related field • 8–10+ years in analytics roles, including 3+ years leading projects • Proven impact delivering analytics in complex environments (multi‑source data, ambiguous scope) with measurable business outcomes • Experience operating in healthcare data environments (or demonstrated ability to quickly adapt to such contexts) • Demonstrated ability to mentor junior analytics professionals • Statistical and financial analytics expertise with deep understanding of appropriate study design and analysis techniques and business case development • Azure Data Stack: Data Factory, ADLS, Synapse/Fabric pipelines; familiarity with security and governance features • Databricks: Spark/SQL, notebooks & jobs, performance tuning, SQL Warehouses • SQL: Strong proficiency (ANSI/T‑SQL); query optimization over large, partitioned tables • R: Applied analytics using tidyverse/ggplot2; reproducible workflows; statistical testing and modeling fundamentals • Python: Data wrangling, automation, integration with Databricks and Azure services • Fabric and Power BI: Data modeling, DAX, Power Query (M), calculation groups, row‑level security, deployment pipelines • Versioning & Reproducibility: Git‑based workflows; disciplined documentation and peer review • Executive storytelling: distill and translate complex analyses into clear narratives and recommended actions or analytics solutions • Stakeholder partnership: influence cross‑functional partners; set expectations and drive alignment • Demonstrated ability to deliver projects with undefined, large and/or complex scope • Agile delivery • Mentorship: develop analysts’ craft (methodology, viz/design, communication) • Product mindset: define problem statements, success metrics, and iterate with feedback – drives adoption of analytics products and solutions • Ownership & judgment: operate independently, make sound trade‑offs, and uphold high quality standards

🏖️ Avantages

• PTO, holiday pay and holiday of choice • 401(k) match • Life insurance • Short-term disability • Health, dental and vision insurance • Maternity/paternity leave • Health savings account (HSA) • Flex spending accounts (FSA) – health and dependent