Data Scientist
New York, NY, USA
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll bring
All qualificationsCore experience
- Hands-on experience in data modelling, data engineering and data analysis tools such as BI tools, Power BI, SQL, Python (pandas, numpy).
- Bachelor's degree in a quantitative discipline, such as Business Analytics, Data Science, Mathematics, Econometrics, Engineering, Sciences.
- Strong communication, organizational and interpersonal skills, as well as the ability to prioritize and execute multiple objectives.
- Experience working independently with business partners and diverse corporate functions.
- Ability to identify key insights and present results to a business audience.
- Knowledge and experience in the banking industry and banking systems.
Preferred experience
- Master's degree in a quantitative discipline.
Qualification wording
Hands-on experience in data modelling, data engineering and data analysis tools such as BI tools, Power BI, SQL, Python (pandas, numpy).
Bachelor's degree in a quantitative discipline, such as Business Analytics, Data Science, Mathematics, Econometrics, Engineering, Sciences.
Strong communication, organizational and interpersonal skills, as well as the ability to prioritize and execute multiple objectives.
Experience working independently with business partners and diverse corporate functions.
Ability to identify key insights and present results to a business audience.
Knowledge and experience in the banking industry and banking systems.
Master's degree in a quantitative discipline.
Tools in this posting
- Python
- SQL
- pandas
- Power BI
- Tableau
- NumPy
Source — Tool mentions in context
Required Skills: - Hands-on experience in data modelling, data engineering and data analysis tools such as BI tools, Power BI, SQL, Python (pandas, numpy). - Working knowledge in developing reports and dashboards in Power BI or Tableau.
- Hands-on experience in data modelling, data engineering and data analysis tools such as BI tools, Power BI, SQL, Python (pandas, numpy). - Working knowledge in developing reports and dashboards in Power BI or Tableau. - Strong communication, organizational and interpersonal skills, as well as the ability to prioritize and execute multiple objectives.
Posting record
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- Live
- First seen by us
- Aug 18, 2026 · 58d ago
- Recorded sightings
- 322
- Last seen by us
- Oct 14, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
Responsibilities include, but are not limited to:
- Interpret business needs and requirements and independently perform analysis and/or build reports and dashboards to meet requirements.
- Translate analysis findings and technical topics, visualize data to explain results to a non-technical business audience and senior management.
- Identify new data capabilities to enable strategic objectives, partner with data enablement team to build solutions.
- Interact independently with business partners on data needs and respond to data requests.
- Perform challenging data queries, reconcile data, analyze results, and form conclusions for senior management.
- Drive a strong data-driven culture within the company by mentoring data analysts and increasing data capabilities in other internal functions.
Qualifications
Required Skills:
- Hands-on experience in data modelling, data engineering and data analysis tools such as BI tools, Power BI, SQL, Python (pandas, numpy).
- Working knowledge in developing reports and dashboards in Power BI or Tableau.
- Strong communication, organizational and interpersonal skills, as well as the ability to prioritize and execute multiple objectives.
- Ability to identify key insights and present results to a business audience.
- Preferred experience in mapping techniques, such as calculating distances and routes, as well as ability to build custom market and demographic maps.
- Awareness of latest trends in data analytics.
- Knowledge and experience in the banking industry and banking systems.
- Advanced knowledge of data structures and the ability to visualize data effectively to communicate to a business audience.
- The Data Scientist will have strong collaboration and communication skills to effectively partner with other data teams and business partners.
Required Experience:
- Bachelor's degree in a quantitative discipline, such as Business Analytics, Data Science, Mathematics, Econometrics, Engineering, Sciences.
- Miniumum of 3 years working in a data analytics role with hands-on experience in wrangling large data sets, conducting data analysis and developing insights from data.
- Experience working independently with business partners and diverse corporate functions.
Preferred Experience:
-
Master's degree in a quantitative discipline.
-
Financial Services experience and knowledge of Retail/Commercial Banking industry, products, and data highly desired.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
New York, NY, USA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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