Analyst

Dia Ventures; New York (NY); On-site; USD 70,000 - 90,000; Full time

Job summary

Dia Ventures in New York is seeking an Analyst for their team. This role offers the opportunity to work on high-profile projects, leveraging data and advanced analytics to drive business decisions.

The ideal candidate will hold a Master’s degree in a quantitative field and possess strong analytical skills. Responsibilities include integrating large datasets, conducting analyses, and implementing machine learning algorithms. Excellent communication skills and a readiness to collaborate with clients are essential.

Qualifications

• Master’s degree or higher from a quantitative field.
• Solid analytical skills in analyzing and interpreting data.
• Familiarity with programming languages such as Python, R, etc.

Responsibilities

• Integrate, transform, validate, and reconcile large amounts of data.
• Drive decision making by conducting various analyses.
• Research and implement scalable machine learning algorithms.

Skills

Analytical skills

Programming (Python, R, Java, etc.)

Machine learning algorithms

Data visualization

Education

Master’s degree in a quantitative field

Tools

Hadoop

Spark

Job description

We are looking for talented individuals to join our growing team. As an Analyst, you have opportunities to work on a variety of high-profile projects under the mentorship of senior consultants and in collaboration with key decision-makers in Fortune 500 companies. You will enjoy working with rich data, cutting-edge analytics and technology and have the ability to see your insights turn into real business impact on a regular basis. A successful candidate will be technically sophisticated, motivated, methodical, hard-working and full of intellectual curiosity.

Responsibilities

• Integrate, transform, validate and reconcile large amounts of data.
• Drive critical decision making by conducting various type of analyses (e.g. segmentation, profiling, modeling).
• Research, design and implement novel, scalable machine learning algorithms in big data environments.
• Deliver results packaged in client-ready format in a timely and efficient manner.
• Communicate key insights and results to clients.

Requirements

• Master’s degree or higher from a quantitative field - computer science, engineering, mathematics, econometrics, operations research, statistics of others.
• Solid analytical skills in analyzing, visualizing and interpreting data, and deriving insights.
• Ability and desire to learn quickly and attention to detail.
• Strong initiative, self-motivation and ability to work in teams.
• Excellent verbal and written communication skills.
• Flexibility to travel and adaptability to different working circumstances.
• Familiarity with one of the following programming languages: Python, SAS, R, C++, Java.
• Experience with Hadoop, Spark and other distributed big-data framework is a plus.