Digital Analytics
20 hours ago
The Spec Analytics Intmd Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.
**Responsibilities**:
- Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
- Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
- Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
- Incumbents in this role may often be referred to as Data Scientists
- Specialization in marketing, risk, digital and AML fields possible
**Qualifications**:
- 5-8 years relevant experience
- Have the ability to retrieve and manipulate data
- Possess analytical ability and problem solving skills
- Working experience in a quantitative field
- Willing to learn and can-do attitude
- Excellent communication and interpersonal skills, be organized, detail oriented, flexible and adaptive to matrix work environment
- Ability to build partnerships with cross-function leaders
**Education**:
- Masters/Post Graduate degree or equivalent experience
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.- Additional Job Description- Additional Job Description
- 5+ years of relevant experience, preferred financial domain knowledge
- Preferred Digital Marketing and/or Digital Experience domain knowledge
- Proficient in Python/Pyspark, SQL and hands-on experience on big data environment like Hadoop
- Hands-on experience on Statistical techniques and Predictive modeling using Machine Learning like - Lookalike analysis, Decision Tree, Logistic Regression etc.
- Proficient in MS Excel, PowerPoint**Job Family Group**:
Decision Management
- **Job Family**:
Specialized Analytics (Data Science/Computational Statistics)
- **Time Type**:
**Most Relevant Skills**
Please see the requirements listed above.
- **Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.-
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