Verified Job
Accounting - Finance
Marketing Data Scientist
Accounting - Finance
#483648
Remote / WFH
Job Description
Job Overview
The Marketing Data Scientist is responsible for driving the data roadmap and enabling the bank's strategic objectives with data and deep insights. They will partner closely with business teams to execute on a data/analytics agenda, explain business performance with data, develop hypotheses to drive actions and identify growth opportunities by performing hands-on data engineering, data analysis and visualization of results. The Data Scientist will have strong collaboration and communication skills to effectively partner with other data teams and business partners.
Expected work hours
40
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.
Requirements
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.
Pay Range Information
Exact compensation may vary based on skills, experience, and location.
Salary Grade Minimum - Annual
$81,400.00
Salary Grade Maximum - Annual
$140,500.00
Salary Grade Minimum - Hourly
$3+.13
Salary Grade Maximum - Hourly
$67.55
The Marketing Data Scientist is responsible for driving the data roadmap and enabling the bank's strategic objectives with data and deep insights. They will partner closely with business teams to execute on a data/analytics agenda, explain business performance with data, develop hypotheses to drive actions and identify growth opportunities by performing hands-on data engineering, data analysis and visualization of results. The Data Scientist will have strong collaboration and communication skills to effectively partner with other data teams and business partners.
Expected work hours
40
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.
Requirements
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.
Pay Range Information
Exact compensation may vary based on skills, experience, and location.
Salary Grade Minimum - Annual
$81,400.00
Salary Grade Maximum - Annual
$140,500.00
Salary Grade Minimum - Hourly
$3+.13
Salary Grade Maximum - Hourly
$67.55
