Design and deliver analyses, reports, and dashboards; translate technical findings for business leaders; perform complex data queries and reconciliation; identify data capabilities and partner with enablement teams; mentor analysts and drive a data-driven culture across functions.
Job Summary & Responsibilities
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.
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.
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