Digital Marketing Data Analyst - Python and Pyspark
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What you'll do
- 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
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
What they're looking for
- 2 - 5 years relevant experience
- Have the ability to retrieve and manipulation data
- Possess analytic ability and problem solving skills
- Working experience in a quantitative field
- Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment
- Ability to build partnerships with cross-functional teams
- Bachelors/University degree or equivalent experience
- 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 - Decision Tree, Logistic Regression etc.
- Proficient in MS Excel, PowerPoint
Nice to have
- 2+ years of relevant experience, preferred financial domain knowledge
- Preferred Digital Marketing and/or Digital Experience domain knowledge
- Preferred experience in Adobe
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
The Spec Analytics Analyst is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team.
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
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Qualifications:
- 2 - 5 years relevant experience
- Have the ability to retrieve and manipulation data
- Possess analytic ability and problem solving skills
- Working experience in a quantitative field
- Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment
- Ability to build partnerships with cross-functional teams
Education:
- Bachelors/University 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.
2+ 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 - Decision Tree, Logistic Regression etc.
Preferred experience in Adobe
Proficient in MS Excel, PowerPoint
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Job Family Group:
Decision Management------------------------------------------------------
Job Family:
Specialized Analytics (Data Science/Computational Statistics)------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
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Company
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