Analytics Engineer - Remote

Human Ventures LLC; New York (NY); Remote; USD 70,000 - 110,000; Full time

Job summary

An innovative firm is seeking an Analytics Engineer to join their Data Team within the Research Department. In this pivotal role, you will build cutting-edge prototypes of data tools, leveraging your expertise in Exploratory Data Analysis and programming languages like Python and SQL. Collaborating closely with a dynamic team, you'll transform complex data into actionable insights, helping to drive impactful solutions for diverse business needs. This position offers a unique opportunity to work in a flexible environment, where your contributions will foster a deeper understanding of data-driven insights across the organization. If you're passionate about data and eager to make a difference, this role is perfect for you.

Benefits

Flexible work model

Dynamic team environment

Access to cutting-edge data tools

Qualifications

• Proven experience in conducting EDA and data mining.
• Expertise in Python and SQL for data manipulation and analysis.

Responsibilities

• Collaborate with business users to uncover true needs and challenges.
• Utilize Python and SQL to build robust prototypes of data tools.

Skills

Exploratory Data Analysis (EDA)

Python

SQL

Data Visualization

Problem Solving

Tools

DOMO

Tableau

AWS

Azure

Job description

About the position

As an Analytics Engineer in our Data Team within the Research Department, you will play a pivotal role in building cutting-edge prototypes of data tools. Your responsibilities will encompass both the art of Exploratory Data Analysis (EDA) and the skill of leveraging data to generate actionable insights. In this dynamic position, you will collaborate closely with a team of innovative professionals to transform complex data into actionable insights, driving our mission to create groundbreaking solutions for diverse business needs. If you're passionate about harnessing the power of data to build prototypes that make an impact, this role is your opportunity to shine. In this role, you will proactively engage with various business users across the organization, even when faced with open-ended requirements. Your ability to work comfortably in such scenarios will be crucial in uncovering the true needs and challenges of the team. Through effective communication and problem-solving, you'll identify opportunities where data tools can enhance productivity and provide valuable insights. You will also demonstrate the ability to clearly communicate insights and the intricacies within the data to the wider research team. Your proficiency in data visualization and presentation skills will be essential in conveying complex findings in a comprehensible manner, fostering a deeper understanding of data-driven insights among team members. Utilizing your expertise in Python and SQL, you will build robust prototypes, diving deep into the data, exploring it, and identifying edge cases that may impact the effectiveness of the tools. You will transform abstract ideas into tangible solutions, ensuring that the prototypes meet initial requirements and account for unforeseen challenges. Your keen eye for data nuances will be invaluable in this process. Additionally, you will collaborate with the IT department to bridge the transition from prototypes to production-ready solutions, ensuring that the developed tools are seamlessly integrated into the organization's infrastructure and processes. Your ability to communicate technical requirements and concepts and dedication to writing clean and modular code will facilitate the smooth transition from prototype to production.

Responsibilities

• Collaborate with various business users to uncover true needs and challenges.
• Communicate insights and data intricacies to the research team effectively.
• Utilize Python and SQL to build robust prototypes of data tools.
• Explore data deeply to identify edge cases impacting tool effectiveness.
• Work with the IT department to transition prototypes to production-ready solutions.

Requirements

• Proven experience in conducting Exploratory Data Analysis (EDA) and data mining.
• Expertise in Python and/or SQL for data manipulation and analysis.
• Experience with business intelligence tools like DOMO, Tableau, or similar platforms.
• Familiarity with cloud platforms, particularly AWS and/or Azure.
• Fundamental understanding of machine learning and statistical concepts.

Nice-to-haves

• Experience in TV/Media content or Consumer-facing industry is preferred but not required.

Benefits

• Flexible work model allowing remote, hybrid, or full-time in-office work.
• Opportunity to work in a dynamic and innovative team environment.
• Access to cutting-edge data tools and technologies.