- Analyze: You will manage a team as they gather data via our multiple data sources to answer pertinent business questions, gather insights, and present meaningful information and stories back to the team.
- Strategize: Understand business challenges and work proactively with senior management to discover data insights that enable efficient growth.
- Innovate: Determine & help build the best tools to mine data, automate reporting, and present complicated data insights as intuitive stories to internal and external stakeholders.
- Automate: Help teams make their workflows and processes more efficient.
- Communicate: Understand technical problems and communicate them effectively with business users. Explain methodology used in analysis in simple terms.
- Manage a team of data analyst(s) to support the business's growing data needs
- Be a hands-on project owner of various implementations and data integrations
- Help set-up and maintain the financials and analytics 'data hub'
- Put in place appropriate data schemas and drive the 'tie-out' practices across our systems
- Work closely with various business units/product owners to define various project's scope and assign resources from the team to support. Educate and inform leadership to drive more data-informed decisions
- Identify areas of improvement for the business and new product opportunities
- Continuously assess, implement and streamline different data sets and analytic tools
- Enhance transparency around data decisions: document and publish data governance decisions and run-down data quality issues at the source
- Recommend 'best practice' designs of financial and data processes where necessary to ensure scalability, efficiency, and a modern cloud set-up
- Set standards and processes for analysis, reporting and dashboarding
- Develop interactive and visual dashboards to highlight trends and opportunities
- Help set-up and maintain the financials and analytics 'data hub'
- Put in place appropriate data schemas and drive the 'tie-out' practices across our systems
- Manage the access, configuration, and functionality of core business systems (e.g. Redshift, Looker, Segment, etc)
- 4+ years of professional data analytics working experience, ideally within ecommerce
- 4+ years of experience with database software (SQL, Google Bigquery, etc) with the ability to query, join and transform data from multiple sources
- Experience in Analytics and Machine Learning tools (Anaconda, Python, R, SQL)
- Proficiency in SQL and Python
- Experience managing a team (does not have to be direct line reporting)
- Experience and comfort in moving from data to insights (e.g., strategizing, analyzing, and recommending business solutions)
- Training in a quantitative field such as Data Science, Data Analytics, Statistics, Computer Science, or Mathematics
- Experience using additional programming languages such as Java, R, PySpark, VBA
- Intro Call: You'll hop on a quick call with the hiring manager so we can get to know you better — and you can learn a little more about the role.
- Remote Interviews: You'll be meeting with a few team members on separate video calls. This is your chance to ask questions and see who this role interacts with on a daily basis.
- Final Video Call: This is a great opportunity to get to know one of our senior executives over video.
- Offer: We send over an offer and you (hopefully) accept Welcome to Stack
- Health Benefits: We offer medical, dental, vision, life, and short-term and long-term disability insurance.
- 401K: Eligible on your first day of employment.
- Super Flex Time: Run errands as needed, just get your stuff done.
- Unlimited Vacation: Take time to unwind with unlimited PTO, plus an office closure between Christmas and New Year's.
- Generous Parental Leave Program: 12 weeks of paid pregnancy disability and baby bonding leave, as well as 4 weeks of paid paternity leave that must be taken within the first six months of the birth.
- Learning Budget: Dollars towards eLearning courses, eBooks, and more.
- WFH Office: Home office stipend and internet dollars to set you up for success.
- Events: Happy hours, team bonding budgets and culture events (even while remote) and an annual company offsite.
- We've paid our publisher and merchant partners $150+ million and counting
- We've been a profitable business from day 1.
- We work with 1k+ media publishers including Mashable, TMZ, CNN, NY Post, & others.
- We've been a 'BuiltinLA Best Place to Work in LA' for 2 years straight.
- We're currently a fully-remote team with 110 teammates. Are you next?
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Manager, Data Analytics - Los Angeles, United States - StackCommerce
Description
Who We Are:
StackCommerce is the leading commerce + content platform. For consumers, we help them discover and purchase products directly on the news and content sites they visit daily. For merchants, we provide unmatched exposure through shoppable articles and product features on the world's largest media outlets. For publishers, we power white-labeled e-commerce shops with on-site checkout for over 1,000 publishers including Mashable, NY Post, TMZ, MarketWatch, and many more. TPG's Integrated Media acquired a majority stake in the company in December 2020.
What you'll do:
Responsibilities Include:
What You'll Bring:
Big Pluses:
What to Expect:
Compensation:
Our overall compensation and rewards package includes base pay, bonus or commission, and a variety of benefits. Base pay is determined within a range that allows you the opportunity to progress as you grow and develop within a role. The anticipated annualized salary range for this role is $158,100-$214,000 (this range may be modified in the future based on changing market conditions). Your initial base pay will be determined based on several factors, including demonstrated skills, relevant education or training, experience, qualifications, travel requirements, and job location.
Benefits + Perks:
As a company, we have a lot to offer for the right candidate:
Stack Highlights:
By the numbers...
StackCommerce is an equal-opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state or federal laws.