3 Data Analyst Jobs in New York City, NY
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Paperless Post is Hiring a Data Analyst Near New York City, NY
Paperless Post is seeking a very strong full stack data analyst with an innate curiosity about user behavior to derive insights from complex data setsand drive our business forward. You have a proven track record of analyzing and deriving insights from data. You will help support the growing needs of our business development initiatives and have a strong quantitative mindset that allows you to distill complex concepts into clear and accessible learnings.
What you’ll do here - As a full stack member of the Data team you will:
- Participate in Data team ideation sessions to define analytics and reporting projects and solutions.
- Work closely with our business and product stakeholders to derive deep insights into our various products, events, and invitations.
- Create data and visualization solutions such as attribution models, complex funnels, event classifiers and dashboards.
- Present findings and recommendations to our stakeholders.
- Train our stakeholders on how to use our BI tools.
- Develop deep understanding of the KPIs that drive our business and identify ways of improving overall results across the company.
- Own and evolve our data model.
- Collaborate with Data Engineering processes and projects.
- Participate in an Agile development cycle.
What you bring to the table
- 4 years experience working with data and statistical analysis.
- Advanced knowledge of SQL and Python.
- Experience using a BI tool and data modeling, preferably with DBT and Looker.
- Solid knowledge of database concepts, familiarity with clickstream data.
- Ability to present complex information in an easy-to-understand and digestible manner.
- Ability to work cross-functionally with team members who are highly technical as well as those with limited or no statistical training.
- Comfort with the ambiguity that sometimes comes with a fast-paced start-up atmosphere.
- Plusses:
- Working knowledge of Google Analytics, Sailthru.
- Undergraduate or graduate degree in Statistics, Math, Data Science, Operations Research or related field a plus.
A little bit about us
The Paperless Post Data team plays a crucial role in our product’s success. We get to dive into advanced data work—from machine learning to visualization, classifier creation to ETL pipelines—that solve complex business problems and increase the functional capabilities of everyone throughout the company. On the reporting side, we help ensure that all teams have the information they need to make sound business decisions. Above all, we’re a team that is excited about what we do.
Company-wide we enjoy an amazing ecosystem of an even gender split and healthy balance of engineers and designers. Because Paperless Post isn’t supported by ad revenue, we get to spend our days focused on creating and improving on the ideal version of our platform, product, content, and partnerships for our users.
Job Summary
Full Time
Retail
07/18/2022
10/07/2022
gordondiggs.com
New York, NY
<25
Retail
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The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, 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. You can explore the career advancement for a Data Analyst below and select your interested title to get hiring information.
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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Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.
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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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