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Data Analyst - Ongoing ContractThe Lifetime Value Co • New York, New York, United States
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Data Analyst - Ongoing Contract

The Lifetime Value Co
  • US
    New York, New York, United States
  • US
    New York, New York, United States
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About

About the Job The Lifetime Value Co. is looking for a Data Analyst Contractor (Content Team Support for Data Studies) to join our growing team. Are you passionate about uncovering actionable insights from data? Join our forward-thinking content team as a Remote Data Analyst, leveraging your analytical expertise to create compelling data-driven studies that power brand content. You'll play a pivotal role in shaping stories, finding trends, and making sense of complex data sets—using both manual and AI-driven analysis. If you love investigating data from every angle, thrive in a collaborative, creative environment, and have a keen interest in brand storytelling, this is the role for you! At LTV, we all work closely together across teams so there's no red tape or bureaucracy. We get things done!
What You Will Get to Do
Data Analysis & Insight Generation: Analyze diverse datasets to identify trends, patterns, and unique angles for content studies. Interpret data using a range of techniques and parameters to meet the content team’s needs. The data analysis are used to create high quality data studies with the goal of garnering news coverage and backlinks for the company.
AI Integration: Use and prompt generative AI tools (e.g., ChatGPT, AI data analysis platforms) to assist in data exploration, cleaning, and summarization. Efficiently blend manual and automated approaches to maximize productivity and accuracy.
Automation & Scripting: Run and develop scripts (Python, R, etc.) for data collection, processing, and automated report generation. Design workflows that streamline recurring analysis tasks.
Web Scraping: Obtain structured and unstructured data from web sources using scraping tools (BeautifulSoup, Google Colab, Selenium, etc.). Clean and validate scraped data for analysis.
Data Visualization: Create clear, engaging data visualizations using tools like Tableau, Google Sheets, Excel, or Python libraries (Matplotlib, Seaborn, Plotly) to support content narratives.
Collaboration & Communication: Work closely with writers, editors, and content strategists to translate data findings into compelling, reader-friendly insights and visual assets.
Quality Assurance: Validate data accuracy, troubleshoot anomalies, and document methodologies to ensure reliability and transparency.
What You Bring to the Table
Technical Proficiency:
Experience with SQL for querying and managing databases.
Skilled in web scraping and automation (BeautifulSoup, Selenium, etc.).
Advanced Excel/G‑Sheets (pivot tables, formulas, data modeling).
Experience with Google BigQuery and Looker
AI & Automation:
Experience using or prompting AI tools for data analysis.
Familiarity with AI for automating routine analytic processes.
Data Visualization:
Competent in building dashboards and custom visualizations (Tableau, Excel, or equivalent).
Analysis & Critical Thinking:
Able to examine data sets from multiple perspectives, using various parameters to unearth original angles.
Experience with exploratory data analysis, statistics, and trend identification.
Communication:
Comfortable explaining analysis outcomes to non‑technical team members.
Strong attention to detail and narrative thinking.
Self‑Driven & Remote Friendly:
Proven ability to work independently, manage deadlines, and communicate asynchronously in a distributed team.
Nice To Have
Previous experience supporting content, marketing, or digital media teams.
Knowledge of data journalism or content strategy.
Familiarity with additional scripting languages (JavaScript, Google Apps Script, etc.).
Experience with APIs for data acquisition.
Exposure to machine learning or advanced statistical modeling.
Strong in Python and/or R for data manipulation and analysis.
Why LTV Co. If you have ambitions to be a part of a high‑growth, results‑driven, industry‑leading organization, LTV is the place to be. LTV builds exciting data products and then we market them with passion. We’re a remote‑first, fast‑growing company with headquarters in New York City that balances the culture of a startup with the stability of being an established, profitable company. We want to work with people who strive to be in the top .01% of their field. We understand that getting to the top takes hard work, constant improvement, and by making data‑driven decisions. It’s a thrilling time to join the team, as we’re expanding our product offerings in exciting new ways, driving innovation through data, marketing, and web & app development. We believe in diversity and hiring people from all backgrounds and walks of life. You must be energetic, inventive, a team player, and looking to help build and grow the company every day. You must have an inner desire to win and the idea of losing is a non‑starter. If you are looking for a position that allows you to work with a group of smart and dedicated people who will support you but still provide the autonomy you need to execute your strategy, then you should probably apply as soon as you’re done reading this.
About Us LTV was founded in New York by Josh Levy and Ross Cohen in 2007. At the time their mission was to provide easy and affordable access to public records—a service that in 2007 was only really accessible to corporations. Since then their mission has expanded to developing products and services that grant access to information and data across a number of verticals. In service of this mission, LTV has nine consumer brands including BeenVerified, NumberGuru, PeopleLooker, NeighborWho, Ownerly, PeopleSmart, Bumper, ReversePhone, and MoneyBot5000. Our mission is to develop a diverse portfolio of technologies, products, and services that give all people equal access to unbiased data and information. We believe that through this access people can empower and protect themselves in today’s ever‑changing world, filled with fake news, deception, and a lack of transparency.
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  • New York, New York, United States

Languages

  • English
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