Data Analyst
Company: Kudzu Interactive, Inc.
Location: Los Angeles
Posted on: November 1, 2024
Job Description:
DATA ANALYST-REMOTE BUT MUST LIVE IN THE UNITED STATESAbout
TillsterHeadquartered in the USA, Tillster is the global leader in
digital ordering and customer engagement solutions. For over a
decade we have developed revolutionary self-service, ordering and
payments solutions - for mobile, tablet, online, kiosk, call
center, and more - creating personalized interactions based on
consumer preferences, language, and currency. Our platform is
compatible with 15+ unique POS systems, representing over 90%
coverage in multi-unit restaurants. We offer one platform: one
scalable, enterprise class solution - to create world-class digital
engagement solutions.Position SummaryIn the role of Data Analyst,
you will work across Data Analytics, Data Engineering, BI
Engineering related tasks, exercising excellent problem solving,
data wrangling and analytical storytelling. You will be responsible
for helping to transform data from our services and existing
reports and Tableau dashboards into consumable data Explores and
dashboards in our platform. You will play a crucial role in
enabling data democratization inside Tillster and with our
customers -- owning the implementation, improvement, and
maintenance of our data products. This includes partnering and
consulting with business teams to provide guidance and assistance
in creating and streamlining Looker or equal style reports and
underlying ETL pipelines. You will collaborate across the
organization, with business, market, customer and consumer focused
leadership and team members alike. It is an opportunity to solve
complex business, technology, customer, and consumer challenges and
realize globally impactful wins!Responsibilities
- Develop and present analyses, actionable insights &
recommendations to key stakeholders including senior executives &
customers in forums and periodic business review meetings.
- Explore data to find actionable insights through funnel
analysis, user segmentation & cohort analysis (and other modeling
approaches).
- Conduct A/B Tests to help the development teams optimize and
enhance Tillster's products, as well as helping customers take
decisions on how they conduct their business.
- Develop and maintain data pipelines to support various data
needs for internal or external data consumption.
- Identify and implement new capabilities and best practices to
develop and improve self-service and automated data analysis
processes.
- Develop and update clear, high performing Explores and
dashboards for business stakeholders such as Marketing, Product,
Finance, Engineering, Sales, Account, and Support/Operations.
- Create new Explores to enable non-technical analysts to access
data, build dashboards, and solve critical business challenges on
Looker technology.
- Create new complex dimensions and measures for analysts to meet
their business needs.
- Help create and maintain coding standards (style guides, etc.)
and perform code reviews for other BI developers or technical
analysts.
- Update production explores and dashboards to ensure consistent
and accurate data as underlying data warehouse changes.
- Promote and ensure the use of a common semantic layer, data
definitions, and metric calculations across all business
areas.
- Maintain Tillster Data infrastructure.
- Write SQL, build derived tables, and work with data engineering
to ensure queries are performant, maintainable, and consuming cloud
computing resources most efficiently.
- Ensure project: model: view structure is optimized to handle
internal and external multi-tenant access and re-architect as
needed for growing business use cases.
- Optimize performance through re-architecting as needed.
- Maintain existing data pipelines.
- Develop LookML in Looker.
- Troubleshoot Jenkins orchestration jobs.
- Modify SQL and Python code for ELT process to load data into
Redshift.
- Other duties as needed, required, or directed.About You
- Bachelor's degree in a quantitative area such as Math,
Statistics, Computer Science, Engineering, or equivalent
experience
- Minimum of 1-2 years of experience in similar role
- Excellent SQL skills
- 1-2 years of experience on AWS or Google cloud technologies
(Redshift or BigQuery)
- 1+ years' experience in developing end to end business
intelligence solutions, including data warehousing and business
intelligence tools, techniques, and technology.
- Proven analytical and quantitative skills (including ability to
effectively use business tools such as Excel, Tableau, Looker) and
an ability to use data and metrics to back up assumptions, develop
business cases, and complete root cause analyses.The Interview
Process
- Recruiter interview with a Talent Acquisition Specialist
- Interview with Data Analytics Team
- Final interview with our VP DataPay and Benefits (USA)
- Expected base salary ranges $85,000 - $100,000. Total starting
compensation will be determined based on all lawful criteria,
Company policy and best practices.
- Equity: All employees within the U.S. are eligible to
participate in the Stock Option Plan.
- 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.Local Candidates Strongly
PreferredNo Visa SponsorshipPrincipals only - no Agencies or calls
please.
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Keywords: Kudzu Interactive, Inc., Chino Hills , Data Analyst, Professions , Los Angeles, California
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