Data Analyst - Ongoing Contract

The Lifetime Value Co.

1d•Remote

About The Position

The Lifetime Value Co. is seeking a Data Analyst Contractor to support their content team with data studies. This remote role involves leveraging analytical expertise to create compelling data-driven studies that power brand content, shaping stories, finding trends, and making sense of complex datasets using both manual and AI-driven analysis. The ideal candidate is passionate about uncovering actionable insights, thrives in a collaborative and creative environment, and has a keen interest in brand storytelling. LTV is a remote-first, fast-growing company headquartered in New York City, balancing a startup culture with the stability of an established, profitable company. They are expanding product offerings and driving innovation through data, marketing, and web & app development. LTV was founded in 2007 with a mission to provide easy and affordable access to public records, which has since expanded to developing products and services that grant access to information and data across various verticals, including 9 consumer brands. Their overarching mission is to develop a diverse portfolio of technologies, products, and services that give all people equal access to unbiased data and information, empowering and protecting them in an ever-changing world.

Requirements

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.
Experience using or prompting AI tools for data analysis.
Familiarity with AI for automating routine analytic processes.
Competent in building dashboards and custom visualizations (Tableau, Excel, or equivalent).
Able to examine data sets from multiple perspectives, using various parameters to unearth original angles.
Experience with exploratory data analysis, statistics, and trend identification.
Comfortable explaining analysis outcomes to non-technical team members.
Strong attention to detail and narrative thinking.
Proven ability to work independently, manage deadlines, and communicate asynchronously in a distributed team.

Nice To Haves

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.

Responsibilities

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.
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.
Run and develop scripts (Python, R, etc.) for data collection, processing, and automated report generation.
Design workflows that streamline recurring analysis tasks.
Obtain structured and unstructured data from web sources using scraping tools (BeautifulSoup, Google Colab, Selenium, etc.).
Clean and validate scraped data for analysis.
Create clear, engaging data visualizations using tools like Tableau, Google Sheets, Excel, or Python libraries (Matplotlib, Seaborn, Plotly) to support content narratives.
Work closely with writers, editors, and content strategists to translate data findings into compelling, reader-friendly insights and visual assets.
Validate data accuracy, troubleshoot anomalies, and document methodologies to ensure reliability and transparency.