Data Analyst

Tillster • $90K — $130K *

Atlanta, GA 30349In-Person

Enterprise Technology

Less than 5 years of experience

Today

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Job Overview by Ladders

Qualifications

Bachelor's degree in a quantitative field or equivalent experience
2-4 years in data analytics or BI role
Strong SQL skills including window functions and CTEs
2+ years of experience with Looker and LookML development
Experience with AWS or Google Cloud data warehouses
Proven ability to build dashboards for non-technical users
Familiarity with software development best practices and agile processes

Responsibilities

Deliver analytical work end-to-end for assigned business areas
Support ad-hoc analysis for internal stakeholders with interpretive framing
Proactively surface trends and data-driven observations
Assist in A/B test experiments under Senior DA guidance
Design and maintain Looker dashboards and Explores
Ensure data accuracy for assigned dashboards and outputs
Collaborate with team members on coding standards and documentation

Benefits

Comprehensive health benefits including medical, dental, and vision
Ten paid holidays per year
15 days of PTO in the first year, increasing to 22 days thereafter
401(k) plan participation from start date
Education assistance programs and ongoing learning opportunities

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Full Job Description

Data Analyst (Mid-Level)

Role Summary

The Data Analyst is an individual contributor who has moved beyond supervised execution and is developing the independence, analytical depth, and stakeholder skills needed to progress to Senior level. They own smaller analytical domains end-to-end, contribute meaningfully to team standards, and begin to proactively surface insights rather than waiting to be directed.

What You'll Do

Analytics & Insight Delivery

Deliver analytical work end-to-end for assigned business areas - from scoping and analysis through to presentation and stakeholder follow-through - with minimal re-direction
Support ad-hoc analysis for internal stakeholders including Marketing, Product, Finance, and Account Management, providing interpretive framing alongside data outputs rather than data retrieval alone
Begin to proactively surface trends, anomalies, and data-driven observations to stakeholders, developing the instinct to flag what matters without being asked
Support A/B test experiments under the guidance of the Senior DA - including data preparation, metric tracking, and results summaries - building toward independent experimental design at Senior level

Google Analytics & Data Collection

Support the Senior DA in GA4 reporting, tracking plan validation, and custom dimension and metric implementation
Develop working knowledge of GA-to-warehouse integration and tagging practices in preparation for owning this domain at Senior level

BI Development & Semantic Layer

Design, build, and maintain Looker dashboards and Explores for assigned business areas, owning deliverables with limited rework
Develop LookML including dimensions, measures, derived tables, and Explore configurations - ensuring all work is documented and consistent with team standards
Contribute to the shared semantic layer by flagging metric definition inconsistencies and proposing resolutions in collaboration with the Senior DA and Analytics Engineering team
Expand self-service analytics for non-technical stakeholders, enabling them to answer their own questions and reducing ad-hoc request volume to the team
Maintain accuracy and consistency of production Explores and dashboards as underlying data warehouse structures evolve

Data Quality & Platform Collaboration

Take ownership of data accuracy for assigned dashboards and analytical outputs - proactively investigating discrepancies and escalating upstream issues to Data Engineering with clear root-cause evidence
Write performant SQL including window functions and CTEs; collaborate with Data Engineers on query optimisation and derived table design
Develop a working understanding of data pipelines feeding owned dashboards sufficient to diagnose freshness and quality issues and communicate resolution timelines to stakeholders
Begin collaborating with Analytics Engineers on LookML architecture and semantic layer requirements for owned areas

Standards & Collaboration

Follow and actively contribute to coding standards, SQL style guides, LookML conventions, documentation requirements, and PR review processes
Participate in code reviews, providing constructive and consistent feedback that builds quality across the team
Support Junior Analysts through paired working and direct feedback, under the guidance of the Senior DA
Partner closely with Senior Analysts, Data Engineers, and business stakeholders; ask clarifying questions early and communicate proactively on blockers and timelines

AI-Augmented Analytics

Apply AI and LLM tools hands-on to accelerate day-to-day analytics workflows - including SQL generation, LookML authoring, documentation, and exploratory analysis
Begin experimenting with AI-assisted insight narration and anomaly detection, sharing learnings with the team
Develop familiarity with self-serve analytics agent concepts (Cortex Analyst or equivalent) in preparation for owning this capability at Senior level

Continuous Learning

Actively develop skills across advanced SQL, Python, statistical analysis, and cloud data platforms
Build toward independent ownership of experimentation, GA4, and stakeholder advisory at Senior level

About You

Required

Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Engineering - or equivalent practical experience
2-4 years of experience in a data analytics or BI role
Strong SQL skills including window functions and CTEs
2+ years of hands-on experience with Looker and LookML development
Experience with AWS or Google Cloud data warehouses (Redshift or BigQuery)
Demonstrable experience building dashboards and Explores for non-technical business users
Working knowledge of software development best practices: Git, PR reviews, code style guides
Working knowledge of agile development processes
Ability to translate business questions into analytical tasks with growing independence
Clear, confident written and verbal communication with business stakeholders

Preferred

Exposure to A/B testing concepts and basic experimental design
Foundational Python skills for data manipulation or automation
Familiarity with GA4 reporting and tracking fundamentals
Experience with AI or LLM tools applied to analytics workflows
Experience with Linux/OSX command line and Git
Understanding of ELT pipeline concepts and cloud data infrastructure
Prior experience mentoring or supporting more junior colleagues

The Interview Process

Recruiter interview with a Talent Acquisition Specialist
Interview with Data Science Team
Final interview with our Data Science Team Leader

Pay and Benefits (USA)

Salary hourly rate is $90,000k - $130,000k DOE
Health Benefits: All full-time, regular employees and their dependents are eligible for medical, dental, vision and FSA benefits. Additional health benefits include Healthcare and Dependent Care reimbursement programs, Employee Assistance Program ("EAP") and Optum Care 24-hour confidential medical counseling services.
Holidays: The company observes ten (10) paid holidays per calendar year.
Paid Time Off (PTO): Full-time, regular employees earn 15 days of PTO in the first 12-months of continuous service, and 22 days in subsequent years. Eligible part-time employees earn pro-rated PTO.
Retirement: Effective with your employment start date, you will be eligible to participate in the 401(k) Plan.
Education, Learning & Development: We offer college tuition and education assistance programs; Udemy Learning courses; and ongoing learning and development opportunities.

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About Tillster

Tillster is a software company that provides digital ordering and engagement solutions for the restaurant industry. The company's products include online ordering, mobile ordering, and loyalty programs. Tillster's software is used by some of the world's largest restaurant chains, including Burger King, KFC, and Pizza Hut. The company was founded in 2009 and is headquartered in Los Angeles, California. Tillster has additional offices in San Diego, California and London, United Kingdom.

Learn more about Tillster

Size

500 employees

Industry

Enterprise Technology

Founded

2002

* Ladders Estimates

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