What are the responsibilities and job description for the Data Analyst position at Clerk Retail?
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Data Analyst
Location: Austin, TX | Hybrid
We’re looking for a Data Analyst to join us and help turn the troves of data we collect from retailers, brands, and the largest & fastest-growing connected display network in retail into exciting new products and actionable insights.
As a member of the Analytics team, you will be the primary driver for managing and maintaining our data. This includes the development and execution of data-intensive workflows to support new and existing products. In addition, you will leverage machine learning and statistical methods to interpret and analyze our data to find valuable insights for both internal and external stakeholders.
We’re powering the store of the future.
Brick & mortar accounts for 86% of all retail sales, but has been underinvested amidst a wave of innovation in e-commerce. At Clerk, we're bridging this gap by building digital infrastructure for the retail ecosystem that enables more transparent, efficient, and profitable store operations.
For more information, visit clerkretail.com.
Responsibilities
- Conduct ad-hoc analysis to solve internal business requests and goals
- Maintain existing Looker reporting and dashboards
- Identify and establish new metrics, reporting and tools to enable business needs and growth
- Leverage data analytics techniques to interpret, analyze, and visualize our data to identify actionable insights
- Write and utilize python scripts to automate or run tasks more efficiently
Growth Opportunities
This role will use a modern toolkit to support the analytics needs and work closely with a huge variety of teams, both internal and external. Recent projects include analytics consulting for a major CPG brand, working with Finance to implement revenue optimization models for programmatic advertising, and sourcing and integration of demographic data for our partner stores to help our Retail and Ad Sales teams.
At Clerk Analytics, there will be endless opportunities for learning new skills and tools, both on the job and through more structured settings like online training or analytics conferences.
Qualifications
- 2 years of experience in data analytics, or relevant internship experience
- Demonstrable knowledge of SQL and Python
- Working knowledge of statistics, machine learning, optimization, and forecasting
- Experience with data visualization, preferably with Looker and Tableau
- Effective communication skills and the ability to communicate technical concepts to a non-technical audience
- Detail-oriented and an appreciation for organization
- Ability to work and collaborate with a small, fast-paced team
- Love for the startup environment and building new things
Compensation
As a part of our commitment to transparency, we use a market-based formula that provides consistency across roles & experience levels and publish all of our compensation data internally for our team.
Perks
- One of Austin's Best Small Companies to Work for in 2022
- Strong team values in transparency, ownership, people, and teamwork
- Passionate, high-achieving teammates excited to help you succeed and learn
- Competitive pay and salary transparency
- Generous time-off programs (including parental leave)
- Flexible work schedule
- Our own (amazing) space in East Austin
- Quarterly offsites and an annual retreat
Ready to Start?
Our People Manager, Caitlyn, would love to meet you and walk you through our interview process. To connect with her, start with our quick application and she will be in touch shortly!
Feeling imposter syndrome? Reach out to us!
We're happy to help you better understand the role and what we're looking for.
Job Type: Full-time
Pay: From $100,000.00 per year
Benefits:
- Dental insurance
- Flexible schedule
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Parental leave
- Professional development assistance
- Referral program
- Relocation assistance
- Vision insurance
Schedule:
- Monday to Friday
Work Location: One location