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Super.com
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Data Analyst (Remote!)
Super.com Vancouver, WA
$78k-102k (estimate)
Full Time 2 Weeks Ago
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Super.com is Hiring a Remote Data Analyst (Remote!)

About Super.com

We started Super.com to help maximize lives–both the lives of our customers and the lives of our employees– so that everyone can experience all that life has to offer. For our employees, our promise is that Super.com is more than just a job; it’s an opportunity to unlock one’s potential, where learning is celebrated and impact is realized.

We are more than a fast-paced, high-growth tech company; we care about our people and take career progression seriously. This is your career and our aim is to supercharge it through the people, the work, and the programs that fuel who we are.

About this team

As a data analyst you will be reporting into a centralized Analytics & Data Science team designed to foster the data driven culture at Super. The multi-disciplinary team you will be embedded within is the driving force behind converting prospects into members of our platform and ensuring their continued engagement with our innovative fintech solutions. Our team operates at the intersection of data-driven solution-making and novel financial product development. We are devoted to rapidly testing new product ideas while enhancing acquisition channels and testing marketing strategies to attract high-intent, quality members.

About this role

We are seeking a qualified Data Analyst to embed within our fintech cross-functional team, focusing on card product acquisitions and customer engagement. In this critical role, you will dive into elaborate datasets related to financial transactions, customer behavior, and card usage patterns. Your primary accountability will be to answer strategic business questions, leverage this data to generate insightful analyses and drive our acquisition strategies by fostering robust engagement.

A significant aspect of your role will involve ensuring the integrity and accuracy of our data. You will conduct detailed investigations into our data quality, querying data at a granular level to verify the effectiveness of our tracking and analytics systems. With your strong analytical acquirements and a data-driven mindset, you will excel in quantitative analysis, using your expertise to help our team structure, visualize, and interpret large datasets.

This position offers a dynamic and impactful opportunity to assume ownership of your work as you conduct in-depth analyses to debug, QA, and refine our data processes. You will collaborate closely with key stakeholders, including the PM of Fintech, Acquisitions and Engagement, to address some of the most pressing and influential questions facing our business.

Your work will be pivotal in shaping our strategies for customer acquisitions and engagement, and you will gain exposure to a wealth of data that will inform and guide our outcomes in the fast-evolving fintech landscape.

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Responsibilites

  • Data-driven Culture: As an ambassador for our data-driven culture, you will leverage elaborate datasets to generate actionable insights that influence product strategy and drive results. Specifically, you will analyze customer behaviors and trends related to our card product acquisitions and engagement, using data to enhance decision making, marketing campaigns, customer outreach efforts and more.
  • Investigate Trends & Anomalies: With a keen eye for detail, you will investigate and analyze trends and anomalies in card product performance. This includes assisting debugging efforts and drilling down into data to uncover the root causes of changes in customer acquisition rates and engagement levels. Your insights will help in fine-tuning our strategies and improving product offerings.
  • Data Management: you will access, clean and organize raw data in a way that makes sense for you, your team and your stakeholders
  • Business Awareness: you will assess the why behind our data-driven insights, and how the data both explains and impacts our business outcomes. This includes analyzing how different customer segments answer to our card offerings and identifying opportunities to enhance customer satisfaction and devotion.
Preferred Experience
  • Familiarity with tools such as DBT, Amplitude, Snowflake, Looker & Git.
  • Experience to independently collaborate with business stakeholders and create data models designed to address specific questions and uncover valuable business insights.
  • Bachelors in STEM and an advanced degree in Analytics, Data Science or equivalent.
We've Got You Covered
  • Competitive salary packages, equity options, great benefits from day one, wellness budgets, as well as personal and team-level development budgets
  • We are remote first – you have the flexibility to work from around the world and the hours that make sense for you– so that you can do your best work while living life on your own terms 
  • Other perks include: unlimited PTO, recharge days, travel discounts on SuperTravel, Weekly UberEats credit
  • We welcome new family additions with generous parental leave and a flexible return-to-work plan
  • This is just scratching the surface– see our careers site for a more detailed overview of our perks & benefits
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$65,000 - $100,000 an hour
As part of our compensation philosophy at Super.com we benchmark roles based on geographic location. The base salary range for this position is $65,000 CDN - $100,000 CDN
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We Believe in Equal Opportunity

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

Accommodations are available on request for candidates taking part in all aspects of the selection process. If needed, please notify our Talent Acquisition Partner.

Job Summary

JOB TYPE

Full Time

SALARY

$78k-102k (estimate)

POST DATE

05/09/2024

EXPIRATION DATE

07/07/2024

Show more

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The following is the career advancement route for Data Analyst (Remote!) positions, which can be used as a reference in future career path planning. As a Data Analyst (Remote!), it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst (Remote!). You can explore the career advancement for a Data Analyst (Remote!) below and select your interested title to get hiring information.

VanderHouwen
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If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Analyst job description and responsibilities

A data analyst also helps the business use the present data to make better business decisions and deliver better services to consumers.

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Their role will be like to work on collaborative, multidisciplinary teams with leaders where they can review and analyze data and to develop the presentation for the data consumption across the organization.

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Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.

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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Analyst jobs

Data analysts typically work with existing data to solve defined business problems.

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Data analysts rely on various tools to collect and make sense of their data.

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Banks and financial firms need data analysts for financial reporting and forecasting.

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Data analysts often work directly with more senior data team members like data scientists or data engineers.

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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.

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Step 3: View the best colleges and universities for Data Analyst.

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