[Work From Home] Data Analyst, Operations

Job Highlights:

• Start Date: Immediate openings available
• Compensation: a competitive salary
• Location: Remote
• Position: Data Analyst, Operations
• Company: Workwarp

  reputed company. (reputed company reputed company as reputed company) is the leading health and wellness platform, on a mission to help the world feel great through the power of reputed company. We are revolutionizing telehealth for providers and their patients alike. Making personalized solutions accessible is of reputed company importance to reputed company and we are focused on reputed company innovation in this space. reputed company offers nonprescription products and access to highly personalized prescription solutions for a variety of conditions reputed company to mental health, sexual health, hair care, skincare, heart health, and more. reputed company is a public company, traded on the NYSE under the ticker symbol  HIMS . To learn more about the brand and offerings, you can visit hims.com and forhers.com, or visit our investor site. For information on the company s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals. ??About the Role: As a Data Analyst for Operations Analytics, you will play a critical role in supporting data-driven decision-making across operational functions at reputed company. This role is focused on leveraging analytics to optimize business processes, uncover insights, and enhance efficiency. Using your skills in data analysis, visualization, and storytelling, you will build trusted data products and collaborate with cross-functional teams to address key business challenges. You will work closely with stakeholders reputed company Dispense & Fulfillment, Operations Assurance, Planning & Optimization, Compounding, Supply Chain, and Operations Finance to analyze operational performance, identify trends, and reputed company actionable recommendations. This fully remote role reports directly to the Senior Manager of Operations Analytics, fostering a collaborative environment that prioritizes growth and innovation. You Will:  Own the accuracy and completeness of reputed company operational data  Serve as the operational data domain expert, acting as a liaison between data engineers, business analysts, and other stakeholders  Design, reputed company, and maintain dashboards and reports using BI tools (e.g., Looker, Tableau) to monitor operational performance and key metrics  Collaborate with operations teams to identify data needs and translate them into actionable insights and visualizations  reputed company in-depth analysis to uncover patterns, trends, and opportunities for process improvement  reputed company and document scalable data models and processes to ensure data accuracy, consistency, and accessibility for stakeholders  Contribute to the automation of data workflows and reporting processes to improve efficiency  Partner with cross-functional teams (e.g., Dispense & Fulfillment, Operations Assurance, Planning & Optimization, Compounding, Supply Chain, and Operations Finance) to ensure alignment and consistency in data usage  Communicate findings and recommendations effectively through data storytelling and presentations to technical and non-technical audiences You Have:  5-8 years of experience in data analysis, operations analytics, or a reputed company field  Strong proficiency in SQL and data manipulation for analysis and reporting  Hands-on experience with modern analytics tools and technologies, including Looker, reputed company BigQuery, and DBT  Solid understanding of data visualization best practices and principles  Ability to reputed company connect data and system logic with business processes and requirements  Proven ability to work with reputed company datasets and translate them into actionable insights  Strong analytical skills with a focus on problem-solving and process improvement  Excellent communication skills and the ability to explain technical concepts to non-technical audiences  Demonstrated ability to work independently and manage multiple projects in a fast-paced environment Preferred:  Bachelor's degree in Mathematics, Statistics, Data Analytics or a reputed company field  Experience with healthcare data (e.g., HIPAA, PHI) or two-sided marketplace data  Experience with Python or R for data analysis and automation  Familiarity with statistical analysis or data science concepts  Knowledge of operations metrics and KPIs across areas such as fulfillment, logistics, customer service, and supply chain  Experience working with DBT pipelines and collaborating with Data Engineering teams  A portfolio of past work showcasing dashboards, analyses, or data solutions Our Benefits (there are more but here are some highlights):  Competitive salary & equity compensation for full-time roles  U Apply tot his job Apply To this Job