About the Role:

We are looking for an Analytics Engineer to join our growing Analytics team. The Analytics Team at Health-E Commerce is a centralized shared service using data to help guide the company towards making the right decisions, addressing challenges, and identifying new opportunities to grow. The Analytics team sits under the SVP of Data Science and Analytics, and is tightly integrated with the Data Engineering and Data Science Functions, as well as with various cross-functional stakeholders in Marketing, Sales, Finance, and Product. The Analytics Engineer role will focus on building out data pipelines, building interactive dashboards, and conducting statistical analysis to inform business strategy through data-driven insights. We are a highly visible team working to support the business in the most impactful ways possible, and committed to teamwork, cross-collaboration and career development for our team members!

What you’ll do:

Build data pipelines and data models through ETL/ELT processes in collaboration with the Data Engineering team to better serve business insights
Define, develop and implement dashboards and reporting to ensure ongoing progress and status updates.
Create informative and well-organized presentations that contribute to overall business needs and goals, explaining complex situations clearly and simply. Be a translator of complex data into concise, actionable business insights
Ensure data robustness, accuracy and governance across all pipelines and views
Identify opportunities for department-wide improvement and communicate with management to recommend and effectuate change.
Support new strategy, processes design, and communications in collaboration with cross-functional teams
Fulfill ad-hoc requests for data and analysis

What you'll need:

Bachelor’s degree in Computer Science, Mathematics, Statistics, Economics, Business or related fields; advanced degrees and/or specializations a plus
2+ years of experience in analytics, data science, data engineering, business intelligence, or related function
Advanced knowledge of modern BI and data visualization tools with a strong preference for Microsoft Power BI end to end development
Knowledge of data modeling and data engineering in various cloud environments (both data warehouse and data lakes) such as BigQuery, Microsoft Fabric, Snowflake, etc.
Intermediate to advanced knowledge of SQL (Non TCL/DCL)
Python proficiency highly preferred
Comfortable with a range of statistical techniques ranging such as regression analysis, probability, survival modeling, etc.
Ability to communicate effectively with wide-range of audiences
Ability to quickly ramp up on new tools/software
Passion for data and its fundamental ability to create value
Extremely curious and excited to dive into complex problems

Additional Details:

At Health-E Commerce, our goal is to provide an offer that supports growth potential within the role and allows for future salary progression. Final compensation is evaluated on various factors which include but aren’t limited to experience, skills, internal equity among peers, and geographic location.

Compensation: $100,000 - $125,000
Discretionary Annual Bonus Eligibility: Up to 10%
Medical, Dental, Vision, and 401K with a company match
Dependent Care, FSA & HSA accounts
Paid Parental & Bonding Leave
Flexible PTO & office closure on all major holidays
Monthly wellness & internet reimbursements
Professional development including certification support & leadership coaching
Mental Health resources
100% remote within the United States
Must be able to work EST hours

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