- Professional
Location: Remote
Virtual, work-from-home position. Work anywhere in the US, must live in the US
ABOUT THE COMPANY
A leader in online education, Continued is composed of passionate individuals dedicated to empowering professionals, enhancing careers, strengthening teams. We are fast-paced, nimble, and laugh a lot. We all work from home offices in various locations across the country. We are dynamic, engaged, highly motivated, and highly skilled. We are passionate about our work and our professions and we’re looking for another team member to join our cause. We are certified as a great workplace, ranked #74 in Fortune’s 2024 Best Small & Medium Workplaces for Millennials, ranked #57 in Fortune's 2024 Best Medium Workplaces and ranked #12 in Fortune's 2024 top 25 Small & Medium Workplaces for Women by the independent analysts at Great Place to Work®. Learn more about us at continued.com and parent company lacallegroup.com.
ABOUT THE TEAM
The Data team is a dedicated group of passionate individuals responsible for the full data lifecycle at LaCalle Group, including Data Engineering, Pipeline Management, Database Administration, Data Analytics, Reporting, and Insights. Though we are virtual and scattered across the country, we communicate frequently, have a tight-knit team, and support one another across roles and projects. We are driven by endless curiosity, a love of learning, and a desire to solve problems.
ABOUT THE POSITION
We are seeking an experienced Data Analyst with a focus on process optimization, business intelligence & KPIs, and stakeholder communication who is motivated, creative, and personable to join our dynamic data team. The ideal candidate will possess a strong analytical mindset, proficiency in current data reporting technologies, and the ability to transform raw data into actionable insights that drive strategies and initiatives across the organization, while also being able to influence product roadmaps and executive decisions.
The Data Analyst will collaborate closely with our data engineers and the broader data team to empower colleagues across the organization, including those in marketing, product, finance, and operations. These professionals are dedicated, data-driven, and passionate about their work. If you share this passion and thrive in a collaborative environment, this is the perfect role for you.
RESPONSIBILITIES
- Analyze large datasets to identify trends, patterns, and anomalies; present findings to stakeholders clearly and effectively.
- Develop, maintain, and optimize reporting dashboards and visualizations in Tableau.
- Measure and report on key marketing, sales, product, and operational metrics, such as ROI, conversion rates, customer acquisition costs, customer lifetime value, and engagement levels.
- Design and implement automated reporting processes to improve efficiency and accuracy in marketing, sales, and product analytics.
- Ensure data integrity and quality by performing regular audits and troubleshooting data discrepancies.
- Stay up-to-date with industry trends and emerging technologies to continuously enhance analytical capabilities in the marketing domain.
REQUIREMENTS
- Education: Bachelor’s degree in Data Science, Statistics, Marketing Analytics, Computer Science, or a related field.
- Experience: Minimum of 5 years of experience in data analysis, reporting, or business intelligence, with a strong emphasis on business analytics.
- Technical Skills:
- Proficiency in SQL and experience with cloud data warehouses (we use Snowflake). If you have used dbt in the past, even better!
- Strong knowledge of data visualization tools (we use Tableau, but if your experience is in Power BI or Looker, that’s good too).
- Analytical Skills: Excellent data analysis abilities with a keen attention to detail.
- Communication: Strong communication skills with the ability to convey complex information to non-technical stakeholders, and work towards mutually beneficial solutions.
- Adaptability: Ability to work in a remote-first, fast-paced environment and manage multiple projects simultaneously.
- Collaboration: Consultative problem-solving approach to working with teammates and outside vendors
- Business Acumen: Ability to think strategically about how to use data to improve key business metrics.
- Curiosity, Perseverance, Love of Learning: You are eager to learn new things and are always up for a challenge.
Preferred by Not Required
- Experience with programming languages such as Python or R for data manipulation and analysis
- Familiarity with marketing automation platforms (we use Segment, HubSpot, Marketo) and web analytics tools (we use Google Analytics and Pendo).
ADDITIONAL REQUIREMENTS
- Can work a full-time W2 position on core U.S. business hours in your time zone
- Ability to fulfill the job requirements with or without reasonable accommodations
- Must be located in the United States and be legally eligible to work for us
- Travel is required for an all-company meeting, and may be required once or twice per year for team or project meetings
- Occasional after-hours/on-call for emergency support and special events (generally less than four times per year)
We prefer an excited candidate with a great attitude and less experience to an unmotivated or unengaged candidate with tons of experience.
BENEFITS
- We offer comprehensive medical, dental, and vision group health insurance, flexible spending accounts, telemedicine, accident insurance, and more
- We offer 21 days of paid time off per year as well as your birthday and national holidays and observances (you may substitute any of the standard holidays for another public holiday such as bank/school or other regional or religious holidays)
- We offer a 401k match, professional development, charitable gift matching, robust wellness programs, and more
- Work from your home office
- Company-provided MacBook Pro, Internet stipend, etc
TO APPLY
To apply, please submit a cover letter with your application. In your cover letter, we’d love to hear about: 1) why you would make a great addition to our team, and 2) about a book you’ve read or video you’ve watched from which you learned something new or interesting.
