Data Analyst, Information Systems

drinkpak; Santa Clarita (CA); On-site; USD 85,000 - 120,000; Full time

Benefits offered by this job

PPO medical, dental, and vision for员工及

Cell phone stipend

Annual discretionary bonus

401(k) match program

Pet insurance

Life insurance

Job summary

DrinkPAK is seeking an Information Systems Data Analyst to bridge IT and business partners, enhancing dashboards, reports, and data-driven decisions. The role focuses on configuring, testing, and continuously improving systems used daily by team members, with emphasis on AI-assisted delivery and governance.

Based at DrinkPAK's Santa Clarita HQ, this full-time role offers modern benefits and a path to enable departmental data capabilities while collaborating across multiple teams to optimize

Responsibilities

• Partner with each department to scope, design, and build the dashboards and reports they need to run their operations.
• Translate operational questions into data models, measures, and clear visuals using the data lake as the primary source of truth.
• Understand the full lifecycle: requirements, data validation, build, publish, iterate; retire or consolidate stale reports.
• Act as the arbiter of dashboard standards and quality across departments—ensuring consistency, reuse, and sound data practices.
• Build with self-service in mind and hand off ownership so teams can maintain and extend their own reports.

Job description

Power your Thirst for More at DrinkPAK, where we revolutionize beverage manufacturing, driven by automation and sustainability. Together, through grit and innovation, we break new ground in record time by acquiring the most advanced technology and attracting the brightest talent. Our explosive growth and journey through uncharted territories offers unique career opportunities enabling passionate individuals to reach their full potential. To support our teams, we offer enriching lifestyle accounts, comprehensive benefits, formal development programs, and an energizing environment. Drive your success at DrinkPAK, where we refresh, hydrate and nourish the world and our employees alike.

POSITION DESCRIPTION

DrinkPAK is looking for an Information Systems Data Analyst who is genuinely curious about what technology can do for people. This role sits where IT meets our business partners and their growing use of AI tools - configuring, testing, and continuously improving the systems our team members touch every day.

BENEFITS

• PPO medical, dental, and vision insurance for our employees AND their dependents, 100% paid by the Company
• A cell phone stipend
• Annual discretionary bonus
• 401(k) match program, pet insurance, life insurance, and more

LOCATION

The position is based at DrinkPAK's Headquarters in Santa Clarita, California.

TYPE

Full-time; Salaried / Exempt.

RESPONSIBILITIES

Dashboard & Reporting Development

• Partner with each department to scope, design, and build the dashboards and reports they need to run their operations.
• Translate operational questions ("why did output drop on this line?", "what's our yard dwell time trending toward?") into data models, measures, and clear visuals - drawing on the data lake as the primary source of truth where available.
• Understand the full lifecycle: requirements, data validation, build, publish, iterate. Retire or consolidate stale reports.
• Act as the arbiter of dashboard standards and quality across departments - ensuring consistency, reuse, and sound data practices while each team builds capability.
• Build with self-service in mind and actively hand off ownership so teams can maintain and extend their own reports rather than depending on a single builder.

Data Lake Enablement

• Help each department discover, understand, and leverage data lake assets relevant to their operations.
• Guide teams on how to query, connect to, and build on Lakehouse tables and semantic models rather than relying on one-off extracts or siloed sources.
• Surface gaps or quality issues in lake data that block departmental use, and partner with data engineering & IT to prioritize fixes.
• Promote consistent, governed use of the data lake so departments get reliable answers without reinventing pipelines.

Departmental Enablement & Capability Building

• Identify members within each department who can become capable dashboard & report builders and AI users.
• Coach and train those champions on tooling, data literacy, data lake access, dashboard design, and responsible AI use until they can deliver work independently.
• Help stand up departmental practices so reporting, data lake use, and AI-assisted analysis become sustainable within each team, with you as the shared standard-setter and escalation point.
• Create reusable templates, patterns, and playbooks that make it easier for newly enabled team members to succeed.

Business Systems Configuration

• Configure and optimize departmental business systems to meet team needs - for example, configuring Workday for HR and Payroll workflows, reports, and security.
• Gather requirements, configure, test, and document changes; build or adjust in-system reports and data extracts.
• Serve as a knowledgeable point of contact between departments and the systems they depend on.

AI-Augmented Delivery

• Use AI tools to accelerate every stage of the work - drafting and debugging SQL/DAX, prototyping visuals, summarizing requirements, generating documentation, and speeding up system configuration.
• Teach departmental champions how to use AI effectively in their own dashboarding and analysis workflows.
• Develop reusable prompts, patterns, and templates that make the whole organization faster over time.
• Apply sound judgment around data governance and privacy when using AI tools with company data, and model that judgement for others.

Cross-Functional Partnership

• Operate on the rotating embedded schedule, giving each department dedicated, predictable attention.
• Build trust and fluency in each department's domain so requirements gathering and enablement get faster and sharper over time.
• Communicate clearly with non-technical stakeholders - set expectations, explain tradeoffs, and manage a healthy request pipeline.

Documentation & Enablement

• Maintain clear runbooks and documentation for what you build and configure.
• Train department users to build, maintain, and extend