Analytics Engineer

Level: Intern, Analytics Engineer 

Department: Value Creation & Analytics 

Location: Chicago, Dallas and New York City (See “Work Location Policy’ section) 

Timeline: May-Aug 2025 (Only if you are a Masters student, we consider Sep-Dec 2024 / Jan-May 2025) 

Base Salary: $75,000 – 100,000 per year (prorated to length of the internship) 

Company Overview 

Teragonia develops Analytics Engineering and AI solutions for private equity portfolio companies and founder-owned businesses, supported by a team of technologists, data scientists, and business experts with first-hand private equity experience as investors, operators, and M&A advisors. We create bespoke ‘data-to-dollars’ value creation playbooks using Decision Intelligence Systems (DIS) that deliver real-time, system-level insights to enhance EBITDA. We supplement the DIS with advisory services to help business leaders operationalize analytics-driven...

Base Salary:  $100,000 - $115,000 

Location: Chicago / New York City / Dallas / Remote

Company Overview 

Teragonia develops Analytics Engineering and AI solutions for private equity portfolio companies and founder-owned businesses, supported by a team of technologists, data scientists, and business experts with first-hand private equity experience as investors, operators, and M&A advisors. We create bespoke ‘data-to-dollars’ value creation playbooks using Decision Intelligence Systems (DIS) that deliver real-time, system-level insights to enhance EBITDA. We supplement the DIS with advisory services to help business leaders operationalize analytics-driven strategies and work closely with deal teams, operating partners, and management to embed analytics in strategic planning and tactical monitoring for timely course corrections. 

Our core solutions are designed to support aggressive private equity...

Base Salary:  $220,000 - $275,000

Location: Chicago / New York City / Dallas / Houston / Remote

Company Overview 

Teragonia develops Analytics Engineering and AI solutions exclusively for private equity portfolio companies, supported by a team of technologists, data scientists, and business experts with first-hand private equity experience as investors, operators, and M&A advisors. We create bespoke ‘data-to-dollars’ value creation playbooks using Decision Intelligence Systems (DIS) that deliver real-time, system-level insights to enhance EBITDA. We supplement the DIS with advisory services to help business leaders operationalize analytics-driven strategies and work closely with deal teams, operating partners, and management to embed analytics in strategic planning and tactical monitoring for timely course corrections. 

Our core solutions are designed to support aggressive private equity investment...

Base Salary:  $180,000 - $215,000 

Location: Chicago / New York City / Dallas / Houston / Remote

Company Overview 

Teragonia develops Analytics Engineering and AI solutions exclusively for private equity portfolio companies, supported by a team of technologists, data scientists, and business experts with first-hand private equity experience as investors, operators, and M&A advisors. We create bespoke ‘data-to-dollars’ value creation playbooks using Decision Intelligence Systems (DIS) that deliver real-time, system-level insights to enhance EBITDA. We supplement the DIS with advisory services to help business leaders operationalize analytics-driven strategies and work closely with deal teams, operating partners, and management to embed analytics in strategic planning and tactical monitoring for timely course corrections. 

Our core solutions are designed to support aggressive private equity investment...

Base Salary:  $130,000 - $160,000 

Location: Chicago / New York City / Dallas / Remote

Company Overview 

Teragonia develops Analytics Engineering and AI solutions exclusively for private equity portfolio companies, supported by a team of technologists, data scientists, and business experts with first-hand private equity experience as investors, operators, and M&A advisors. We create bespoke ‘data-to-dollars’ value creation playbooks using Decision Intelligence Systems (DIS) that deliver real-time, system-level insights to enhance EBITDA. We supplement the DIS with advisory services to help business leaders operationalize analytics-driven strategies and work closely with deal teams, operating partners, and management to embed analytics in strategic planning and tactical monitoring for timely course corrections. 

Our core solutions are designed to support aggressive private equity investment...

Seeq makes data analytics software for a big market that’s often overlooked by tech companies: industrial process data. Think pharmaceutical manufacturers, mining companies, wind farms, and energy companies with tons of equipment and sensors.  

Our company was founded 100% remotely, and we're proud of it. We were good at being remote long before COVID-19 and will continue to be remote. We use a variety of collaboration tools, like Zoom, Slack, and our homegrown Qube Virtual Office, which make us feel like we're in the same building together. We use agile tenets to iterate on both our product and internal processes. We have a wonderful team of kind-hearted, talented engineers who love to collaborate, teach each other new tricks, and build products that exceed our customers’ expectations.  

Essential Duties and Responsibilities 

What You Will Do 

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Core Responsibilities:

• Development and maintenance of core data models, designed for efficient use across Analytics, Data Science, and Machine Learning use cases.
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Who We Are

Float is the world’s leading software for teams to plan their time. Launched in 2012, we’ve grown every year since, and remain proudly independent, self-funded and profitable. As a certified B Corporation, we’re committed to making a positive contribution to our team, customers, the environment, and the remote community. We’re a team of 50 working 100% remotely who believe in living our Best Work Life. You’ll. partner with team members globally, including Australia, Mexico, Italy, Nigeria, Canada, and the USA. Hear what our team has to say by browsing our blog, or reading our Glassdoor reviews. Check out what our customers think of Float from our G2 reviews.

We’re on a scale up journey, and we’re seeking people who thrive in this stage, given the autonomy, and the opportunity, to do the best work of their career.

Why We’re Hiring For This Role

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At ARETUM, we pride ourselves on our commitment to providing exceptional service and innovative solutions to our government clients. We specialize in a wide range of areas, including Next Generation Analytics, Engineering Services, Training Services, IT Systems, Cyber Security, PMO Support, and Financial Consulting. Join our team and contribute to our mission of delivering excellence in technology-driven mission support services.

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• Identify data sources and appropriate ways to analyse...

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You will use tools like Snowflake, AWS, SQL, Python, R, Airflow, and Tableau to support the delivery of testing strategies, analysis, research, listening, empathy and storytelling to cultivate an informed POV that addresses the unique challenges of the brands we work with.  You will be strategic partner to our analytic team and collaborative partner with our internal product engingeering teams.

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The Analytics Engineer will deliver analytical solutions using programming, data set management, and visualization techniques. Responsibilities include querying databases, data processing, utilizing APIs for external data sources, and communicating findings. Writes clean, performant, reusable code and digestible analyses of data-based findings. Gathers and interprets end-user requirements and incorporates them into proposed solutions. Assists in working collaboratively with business stakeholders to make strategic data-related decisions by analyzing data.

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Position Overview:

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Key Responsibilities:

• Design, develop, and maintain ETL processes to extract, transform, and load data from various sources.
• Monitor and optimize ETL workflows to ensure data quality and performance.
• Collaborate with cross-functional teams to gather and understand data requirements.
• Optimize and tune ETL processes for performance and scalability.
• Create and maintain documentation for ETL processes and data analytics solutions.
• Create and maintain data models to support reporting and analysis needs.
• Utilize expert knowledge of Go, Python, SQL, git, JSON,...

ARETUM, a leading government contracting company, is seeking a talented and motivated Internal Business Analytics Engineer to join our dynamic team. As an Internal Business Analytics Engineer at ARETUM, you will have the opportunity to work closely with our internal teams and stakeholders to drive data-driven decision-making and deliver actionable insights.

At ARETUM, we pride ourselves on our commitment to providing exceptional service and innovative solutions to our government clients. We specialize in a wide range of areas, including Next Generation Analytics, Engineering Services, Training Services, IT Systems, Cyber Security, PMO Support, and Financial Consulting. Join our team and contribute to our mission of delivering excellence in technology-driven mission support services.

Responsibilities

• Assists Performance Reporting Manager with following activities.  
• Identify data sources and appropriate ways to analyse...