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Waitlist: Mentor - Data Analytics Career Track (Part-time/Remote)

Remote
The Company 
 
At Springboard, we’re on a mission to bridge the world’s skills gap, offering transformative online education in data science, UI/UX design, machine learning, and coding. Our courses may be tech-enabled, but we're ultimately human-centric: each student taps into a vast community throughout their time with us, engaging with fellow students, industry-expert mentors, student advisors, and career coaches, the goal of which is to successfully transition students into their dream job. Through this hybrid approach, we’ve helped thousands of learners revamp their careers and, by extension, their lives, with hundreds of top-notch job offers received every year and a near-perfect placement rate for our program graduates.

Please note: we are currently at capacity for Data Analytics Mentors. However, we’d still love to connect with you! By applying to this role, you will be added to our Course Mentor waitlist. We will contact you as soon as we re-open our hiring process.

The Opportunity

Springboard runs an online Data Analytics Career Track Bootcamp in which participants learn with the help of a case-study-based curriculum and 1-1 guidance from an expert mentor. 

Springboard has recently established some exciting partnerships that are set to kick off in the beginning of 2023 like our most recent partnerships with Amazon and Walmart! These partnerships are available for upskilling and reskilling, and offer customized, company-specific projects to provide employees with the most up-to-date skill sets to drive business impact through contextualized and company-specific learning. 

We are looking for individuals that are passionate about mentoring as you are about Data Analytics, and can give a few hours per week in return for an honorarium, we would love to hear from you.

Questions? Please write to us at mentorrecruiting@springboard.com 

The Programs:

  • Completely online
  • ~8 month course that takes students through real-world business cases
  • Students learn about Data Analytics with the help of an online curriculum and a personal mentor
  • Students go through the curriculum on their own
  • Students have a weekly 30-minute video call with their mentor to discuss questions, projects, and career advice!
  • Students communicate with mentors outside of calls on an as-needed basis to support learning and career objectives
  • We have standard Springboard courses as well as partnerships with various businesses and universities that our mentors support 

You:

  • Are as passionate about teaching Data Analytics as about Data Analytics itself
  • Are proficient in the topics covered in our curriculum, including Excel, SQL, Tableau and Python
  • Have an excellent understanding of data visualization, data storytelling, and how to think about data problems in a business context
  • Are available for weekly, 30-minute video check-ins for each student to help them set and achieve learning goals, provide feedback, and help them move towards getting a job
  • Are able to utilize Zoom for the 30-minute calls with students
  • Are available outside of weekly calls for each student to review projects and answer questions as needed
  • Have at least 3 years of experience solving real-life business and data analytics problems, and are comfortable working with large data sets
  • Are empathetic and have excellent communication skills

Benefits:

  • Membership in a rich community of expert mentors from great companies like Capital One, Lyft, McKinsey, and Square
  • Change the lives of students in our programs
  • Help us revolutionize online education!
  • Data Analytics mentors are paid an honorarium between $12.86-$23.38 per 30 minute call with students
  • Work at your convenience

We are an equal opportunity employer and value diversity at our company. We welcome applications from all backgrounds, and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

 
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Under the California Consumer Privacy Act (“CCPA”), Springboard is required to inform California residents who are job applicants about the categories of personal information we collect about you and the purposes for which we will use this information. This notice contains disclosures required by the CCPA and applies only to personal information that is subject to the CCPA.

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Please fill out this self skills assessment for us to better understand your knowledge of our curriculum. Please rate yourself on a scale of 1-5 (1=novice, 5=expert) for each of the following areas.

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Unit 1: Structured thinking through case studies & problem statement worksheets; problem solving frameworks and processes, such as HDEIP Framework, 7-Step Problem Solving Framework, and others; issue trees, hypothesis trees, and value driver trees
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Unit 2: Financial concepts including revenue, cost of goods sold, profit, balance sheets, cash flow statements, and EBITDA; economic concepts including supply and demand curves, cost curves; statistical concepts including descriptive statistics [mean, mode, standard deviation, correlations, etc.], correlations, simple and multivariate regression, confidence intervals; using Excel to create a default evaluation model

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Unit 3: Effective communication strategies, formats, and templates; presentations to technical and non-technical stakeholders, and C-suite executives through case studies; visualization tools such as Tableau & PowerBI; creating presentations with PowerPoint or similar tools; presentation practice across different forms

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Unit 4: Introduction to structured & unstructured databases; introduction to set theory; introduction to SQL, best practices in writing queries, and common data analysis tools; case studies & hands-on exercises in writing SQL with real data; advanced supplementary material like Mode SQL

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Unit 5: Basic Python syntax; introduction to Jupyter and Jupyter Notebooks; data cleaning; visualizing data and trends with Seaborn and Matplotlib; practical exercises in Python with real data to extract insights that could be presented to an executive audience