Full Time
8.00
40
Sep 4, 2026
We are looking for a highly analytical and detail-oriented Data Analyst to join our team and help turn data into actionable insights for our clients and internal teams.
This role will be responsible for collecting, organizing, analyzing, and interpreting data from multiple sources to help the business understand performance, identify trends, measure results, and make better decisions.
The ideal candidate is highly proficient with spreadsheets and reporting tools, comfortable working with large amounts of data, and able to take complex information and turn it into clear, easy-to-understand insights.
You will work closely with Client Success, Marketing, Operations, and other teams to develop reporting, analyze performance, identify opportunities, and improve the way we use data across the organization.
Key Responsibilities
Data Analysis & Reporting
Collect, organize, clean, and validate data from multiple sources.
Analyze data to identify trends, patterns, opportunities, and potential issues.
Develop recurring and ad-hoc reports for internal teams and clients.
Create dashboards and reporting tools that clearly communicate performance.
Monitor key performance indicators and identify significant changes or anomalies.
Translate raw data into meaningful business insights and recommendations.
Ensure reports are accurate, timely, and easy to understand.
Marketing & Client Analytics
Analyze marketing and advertising performance across multiple channels.
Review campaign, lead, conversion, traffic, and customer performance data.
Help identify which channels, campaigns, and strategies are producing the strongest results.
Support Client Success teams with data and insights for client meetings and business reviews.
Assist with developing client-facing reports and presentations.
Identify trends that may impact client performance and proactively communicate findings.
Help establish and maintain consistent reporting standards across clients.
Data Management
Maintain accurate and organized datasets and reporting systems.
Clean and standardize data from multiple platforms.
Identify duplicate, missing, or inaccurate information.
Perform data validation and quality checks.
Maintain documentation for reporting processes, data sources, and calculations.
Ensure data is consistently defined and reported across teams.
Dashboards & Automation
Build and maintain dashboards using tools such as Looker Studio, Power BI, Tableau, or similar platforms.
Develop advanced Excel and Google Sheets reporting systems.
Automate repetitive reporting processes whenever possible.
Identify opportunities to reduce manual data entry and reporting.
Work with internal teams to improve data collection and reporting workflows.
Business Intelligence
Provide data-driven recommendations to leadership and department heads.
Support forecasting, trend analysis, and performance planning.
Conduct root-cause analysis when performance changes unexpectedly.
Help teams understand what the data is telling us and what actions should be taken.
Develop new reports and analysis based on business needs.
Required Qualifications
2–4+ years of experience in Data Analysis, Business Intelligence, Marketing Analytics, or a related role.
Strong analytical and problem-solving skills.
Advanced Excel and/or Google Sheets skills.
Experience working with large datasets.
Experience creating reports and dashboards.
Strong attention to detail and data accuracy.
Ability to identify trends and translate data into actionable insights.
Strong written and verbal English communication skills.
Ability to manage multiple projects and deadlines.
Comfortable working independently in a remote environment.
Ability to work U.S. business hours.
Technical Skills
Experience with several of the following:
Microsoft Excel
Google Sheets
Looker Studio
Power BI
Tableau
SQL
Google Analytics / GA4
CRM data
Marketing platforms
Data visualization
Data cleaning and validation
Reporting automation
API or data integrations
Preferred Qualifications
Experience working with digital marketing or advertising data.
Experience with Google Ads, Meta Ads, SEO, PPC, or other digital marketing platforms.
Experience working with CRM systems.
Experience with APIs or pulling data from multiple platforms.
Basic SQL knowledge.
Experience creating client-facing reports.
Experience working with U.S.-based companies or clients.
Experience with AI tools and automation.
Experience in the home-services or advertising industry.
What Success Looks Like
Reports are accurate, timely, and easy to understand.
Teams have reliable data to make business decisions.
Client reporting is clear and actionable.
Manual reporting processes are continuously reduced through automation.
Data quality and consistency improve across the organization.
Trends and performance issues are identified before they become larger problems.
Leadership and Client Success teams can quickly understand what is happening in the business and why.
Data becomes a valuable tool for improving client performance and operational efficiency.