HRTMS Job Description Management
| Data Analyst I J o b D e s c r i p t i o n | | |
JOB INFORMATION | | Title: | Data Analyst I | | Title Description: | Data Analyst I | | FLSA Status: | Exempt | | Reports To: | Mgr, Data Services | | Supervises: | | | Approved Date: | 2/24/2026 11:01:22 AM | | Date Last Edited: | 2/24/2026 11:04:55 AM | | Locations: | CA Chico; NC Mills River; Remote - Home Based Office | | Function: | Brewery | | Business Entity: | Administrative/General | | Cost Center: | Information Systems | | Employee Type: | FT Exempt 1 | | Age Requirement: | 21+ | | Employee Supervisory Classification: | X | Individual Contributor | | People Leader |
| POSITION SUMMARY | | The Data Analyst I supports the BI & Insights (BI&I) pillar by developing curated datasets, standardized metrics, and foundational data models that enable self-service analytics across the organization. This role assists in analyzing operational data, building semantic models, and creating example Power BI reports that demonstrate proper use of trusted data. As Sierra Nevada expands its use of data across brewing, packaging, supply chain, and sales, teams need trusted, well-structured data to build meaningful insights. | | | | | | | |
ESSENTIAL DUTIES | | Essential Duties | • | Data Analysis & Modeling - Analyze operational data to support business questions and performance tracking
- Assist in building and refining curated data models for downstream reporting
- Create standardized measures and documented KPI definitions
- Support basic SQL-based data exploration and validation
| • | Power BI Development & Enablement - Build initial Power BI reports or templates to demonstrate use of curated datasets
- Collaborate with functional Business Analysts (BAs) to transition reports for department ownership
- Provide guidance on how curated data models should be used within reports
- Avoid ongoing report maintenance once ownership transitions to the functional team
| • | Data Quality & Validation - Perform QA checks to validate metrics and ensure data consistency
- Assist in identifying data anomalies or discrepancies
- Work with senior analysts to investigate and resolve data quality issues
| • | Collaboration & Learning - Partner with Data Scientists, Data Analysts, and Business Analysts on analytics initiatives
- Participate in sprint work and backlog prioritization
- Document metric logic and data model assumptions clearly
- Continuously develop technical and business domain knowledge
| | | |
Additional Responsibilities |
Travel Requirements | Est. Amount | Brief Description | 5% | potential travel between brewery | | | |
Education | Education Level | Education Details | Req | Pref | and/or | Bachelor's Degree | degree in Data Analytics, Business, Information Systems, Computer Science, or related field or any combination of experience and or education from which comparable knowledge, skills and abilities have been achieved required | X | | | | | | | | | | | |
Work Experience | Experience | Experience Details | Req | Pref | | 2 years | of experience in data analysis, reporting, or analytics | X | | | | | | | | | | | |
Knowledge, Skills and Abilities | • | Basic to intermediate SQL | • | Experience building reports in Power BI or similar BI tools | • | Understanding of data modeling concepts and KPIs | • | Comfortable working with structured datasets | • | Experience with manufacturing or operations data | • | Exposure to cloud data platforms (Databricks, etc.) | • | Familiarity with self-service analytics concepts | • | Strong analytical thinking and attention to detail | • | Clear communication skills | • | Ability to collaborate across technical and non-technical teams | • | Eagerness to learn and grow within a structured analytics environment | | | |
Physical Demands | Frequencies listed represent the percentage of time spent performing the task during a regularly scheduled shift | Rarely 0-25% | Occasionally 26-50% | Frequently 51-75% | Constantly 76-100% | |
- Sitting - Constantly
- Walking - Occasionally
- Standing - Occasionally
- Bending (Waist) - Rarely
- Bending (Neck) - Frequently
- Lifting - Rarely (25)
- Lifting Continued - Rarely (50)
- Carrying - Rarely (50)
- Pushing - Rarely
- Pulling - Rarely
- Squatting - Rarely
- Climbing - Rarely
- Kneeling - Rarely
- Crawling - Rarely
- Twisting (Waist) - Rarely
- Twisting (Neck) - Occasionally
- Grasping - Occasionally
- Talking - Constantly
- Repetitive Motion - Frequently
|
Work Environment | Frequencies listed represent the percentage of time spent performing the task during a regularly scheduled shift | Rarely 0-25% | Occasionally 26-50% | Frequently 51-75% | Constantly 76-100% | |
- Indoors - Constantly
- Outdoors - Occasionally
- Humid - Occasionally
- Work near toxic or caustic chemicals - Rarely
- Exposure to fumes & airborne particles - Frequently
- Working at heights of more than 6' - Rarely
- Exposure to extreme cold - Rarely
- Exposure to extreme heat - Rarely
- Exposure to wet environments - Occasionally
- Extreme changes in temperature - Occasionally
- Work near loud noises - Occasionally
- Work near loud noises requiring ear protection - Occasionally
- Work near moving mechanical parts - Occasionally
- Risk of electrical shock - Rarely
| The physical demands and work environment described here are representative of those that must be met and respectively encountered by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. |
|