Analytics Engineering Intern

Primary Duties & Responsibilities:

• Acquire, analyze, combine, synthesize, and structure data with clear definitions and sources for analytical consumption.

• Participate in consultations with data consumers to identify meaningful datasets for analytical consumption.

• Develop data products using continuous deployment and integration practices

• Apply engineering best practices in order to analyze, design, develop, deploy and support data analytics products.  

• Participate in agile story authoring, sizing, and demo sessions for product features.

• Participate in code reviews and learn from them.

Knowledge, Skills, Abilities:

• College level data / analytics courses

• Build the understanding of the business domain and the meaning of the data in it to accurately identify key and associated data which can be extracted, transformed and loaded for effective consumption downstream.

• Build an understanding of the data flow so that data can be shared across the company with one source of truth being the goal.

• Build an understanding of data validation routines and purpose

• Ability to identify data quality issues and their root causes. Propose fixes and design data audits.       

• Excellent written and verbal communication skills

• Exceptional analytical, conceptual, and problem-solving skills.

• Self-motivated and seeking to learn

Required Certifications:

Midpoint:

Pay rates for internships are determined based on academic tenure and major.

Northwestern Mutual pays on a geographic-specific salary structure and placement in the salary range for this position will be determined by a number of factors including the skills, education, training, credentials and experience of the candidate; the scope, complexity as well as the cost of labor in the market; and other conditions of employment. At Northwestern Mutual, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. Please note that the salary range listed in the posting is the standard pay structure. Positions in certain locations (such as California) may provide an increase on the standard pay structure based on the location. Please click here for additional information relating to location-based pay structures.

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We are an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or status as a protected veteran, or any other characteristic protected by law.

If you work or would be working in California, Colorado, New York City, Washington or outside of a Corporate location, please click here for information pertaining to compensation and benefits.